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Schmidt, Rosenberg, Eagle: Trillion Dollar Coach

About the book

Eric Schmidt et al. wrote a book about an anomaly. The book tells the story of Bill Campbell who coached in Silicon Valley. Mr. Campbell – the Trillion Dollar Coach, was coaching same time the top management from example Apple and Google.

Larry Page, Steve Jobs, Sheryl Sandberg and of course mr. Schmidt were people who he coached.  How odd? Actually it’s not odd in Silicon Valley to be coaching high-powered people who work for competing tech giants.

What made Bill Campbell so exceptional? Most probably his nature, way of working and talent of helping people to see their potential.

The stories have true value for outsiders of the Silicon Valley system. It helps us to understand the business of Silicon Valley. It can change our way of thinking. And last but least – you can learn from the stories.

Towards the end of the book the writers loses the grip from the reader. Last pages turns into testimonials from the coachees.

What are the key learnings?

Trillion Dollar Coach is about what and how Bill Campbell coached “what were the things he told people to do – and how he coached – what was his approach.”

Key learnings were:

Teams

  • “He used coaching to “mold effective people into powerful teams.
  • Everything great in the company happened in teams. That was my pitch in the talk: start treating teams, not individuals, as the fundamental building block of the organization.
  • When change happens, the priority has to be what is best for the team.”

Managers

  • Why do we need managers? “I want someone I can learn from, and someone to break ties.”

Staff meetings

  • “Pay close attention to running meetings well; “get the 1:1 right” and “get the staff meeting right” are tops on the list of his most important management principles.”

Board meetings

  • “Board meetings fail when the CEO doesn’t own and follow her agenda.
  • That agenda should always start with operational updates: the board needs to know how the company is doing.
  • That includes financial and sales reports, product status, and metrics around operational rigor (hiring, communications, marketing, support).
  • If the board has committees, for example to oversee audit and finance or compensation, have those committees meet ahead of time (in person or via phone or video conference) and present updates at the board meeting.
  • The first order of business always needs to be a frank, open, succinct discussion about how the company is performing.

Trust

  • “Perhaps the most important currency in a relationship – friendship, romantic, familial, or professional – is trust.”

Skills

  • “Many of the other skills of management can be delegated, but not coaching.”

Communications

  • Communications is critical to a company’s success. “He frequently coached us to make sure that others in the company understood what we understood.
  • Even when you have clearly communicated something, it may take a few times to sink in.
  • Repetition doesn’t spoil the prayer”

Walk

  • Bill coached walking around their Palo Alto neighborhood.

About trust:

–      Trust means loyalty.

–      Trust means integrity.

–      Trust means discretion.

–      ”Trust doesn’t mean you always agree; in fact, it makes it easier to disagree with someone.”

About stories:

–      “Don’t tell people what to do, tell them stories about why they are doing it.

–      “Bill coached me to tell stories. When people understand the story they can connect to it and figure out what to do.”

About teams. Excellent teams at Google had:

1)   Psychological safety.

2)   The teams had clear goals.

3)   Each role was meaningful.

4)   Members were reliable.

5)   Confident that the team’s mission would make a difference.

The traits of coachability are:

–      Honesty and humility.

–      The willingness to persevere and work hard.

–      A constant openness to learning.

How should we change according to the book?

We should adopt the future formula and ask how they stayed engaged in their careers. The answers should be:

BE CREATIVE.

  • “You should be in your most creative time.
  • You have wisdom of experience and freedom to apply it where you want.
  • Avoid metaphors such as you are on the “back nine.” This denigrates the impact you can have.”

DON’T BE A DILETTANTE.

  • “Don’t just do a portfolio of things.
  • Whatever you get involved with, have accountability and consequence. Drive it.”

FIND PEOPLE WHO HAVE VITALITY.

  • “Surround yourself with them; engage with them. Often they will be younger.”

APPLY YOUR GIFTS.

  • “Figure out what you are uniquely good at, what sets you apart.
  • And understand the things inside you that give you a sense of purpose.
  • Then apply them.”

DON’T WASTE TIME WORRYING ABOUT THE FUTURE.

  • “Allow serendipity to play a role.
  • Most of the turning points in life cannot be predicted or controlled.”

What should I personally do?

“A big turnoff for Bill was if they were no longer learning. Do they have more answers than questions? That’s a bad sign!”

Summary

The book in six words – “If you’ve been blessed, be a blessing.” Ron Johnson (CEO of JCPenney)

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Ellis & Brown: Hacking Growth

About the book

I’m sorry – this is going to be one of the loooooongest LinkedIn articles that I have ever published. But I’m so excited about the topic and especially the content of the book was spot on – so I’ll forgive myself.

This book is all about breaking the silos within organisations and especially breaking the walls between marketing and engineering.

For me the key question while reading the book was that is growth hacking a new way of doing business development or merely a new way of doing prospecting?

After reading the book I can conclude that growth hacking is kind of next generation war room activity, but without the typical sense of urgency of war room activity. That does not mean that growth hacking would have more time to deliver results. On the contrary growth hacking is very focused on delivering results. But growth hacking teams does not come from an idle world where business has been so gooooood. Growth hackers come from the world of Internet.

“Growth hacking is so much more than a business strategy, or even an ongoing process. It’s a philosophy, a way of thinking, and it’s one that can be adopted in any team or company, big or small.”

What are the key learnings?

“Where did Skype go wrong? Put simply, the product and executive teams failed to grasp the appeal of mobile messaging and perceive how rapidly mobile phones and tablets were being integrated into workplace communication.”

This book has two key learnings:

1)   Customers Relationship

a.   Approaches like these is meant to be used as building, growing, and retaining a customer base.

2)   Ability to Grow

a.   “More important, companies’ growing ability to collect, store, and analyze vast amounts of user data, and to track it in real time, was now enabling even small start-ups to experiment with new business opportunities at an increasingly low cost, much higher speed, and greater level of precision.”

Lead your business via measuring:

–      Aha moment

o  “Vital step in determining whether your product has the aha potential is to seek out truly avid fans by mining user data and feedback, and then to search for any similarities in the ways these people use the product.”

–      Retention

o  “Whether or not you’ve achieved must-have status is your product’s retention rate.”

The way of working is a “process is a continuous cycle comprising four key steps”:

(1) ANALYZE:

a.   Data analysis and insight gathering;

(2) IDEATE:

a.   Idea generation;

(3) PRIORITIZE:

a.   Experiment prioritization; and

(4) TEST:

a.   Running the experiments, and then circles back to the analyze step to review results and decide the next steps.”

North Star

Choosing your North Star is a crucial part of the Growth Hacking operations:

–      “To determine what that is you must ask yourself: Which of the variables in your growth equation best represents the delivery of that must-have experience you identified for your product?”

–      “The North Star should be the metric that most accurately captures the core value you create for your customers.

–       “The North Star may change over time as the company grows and initial goals are achieved.”

By far the best part of the book is about almost classic cases:

–      “Hotmail, for example, was one of the first to tap into the viral quality of Web products—and their ability to “sell themselves”—when it added the simple tagline “P.S: Get Your Free Email at Hotmail” at the bottom of every email that users sent, with a link to a landing page to set up an account.”

–      “LinkedIn, which had struggled to gain traction in its first year, saw their growth begin to skyrocket in late 2003, when the engineering team worked out an ingenious way for members to painlessly upload and invite their email contacts stored in their Outlook address book, kicking network effects growth into high gear.”

–      “How would you feel if you could no longer use Dropbox?” Users could respond “Very disappointed,” “Somewhat disappointed,” “Not disappointed,” or “N/A no longer using the product” (I wrote the question this way because I found that asking people if they were satisfied with a product didn’t deliver meaningful insights; disappointment was a much better gauge of product loyalty than satisfaction). I had found that companies where more than 40 percent of respondents said they would be “very disappointed” if they could no longer use the product had very strong growth potential, where those that fell under that 40 percent threshold tended to face a much harder path in growing the business (due to user apathy).” 

Growth hacking as a way of working

Growth hacking is combination of new tools and old tricks. “Growth was about engineer[ing] systems of scale and enabling our users to grow the product for us. The Lean Startup adopted the practice of rapid development and frequent testing, and added the practice of getting a minimum viable product out on the market and into the hands of actual users as soon as possible, to get real user feedback and establish a viable business. Growth hacking adopted the continuous cycle of improvement and the rapid iterative approach of both methods and applied them to customer and revenue growth.”

How to organize?

“At LinkedIn, for example, the growth team has evolved from an initial 15-person unit to comprise 120-plus members, broken down into five units dedicated to: network growth; SEO/SEM operations; onboarding; international growth; and engagement and resurrection of users.13 At Uber, by contrast, the growth team is divided into groups, including those who focus on adding more drivers, growing the pool of riders, expanding internationally, and more.”

Benefits of growth hacking

SURVIVING DISRUPTION

⁃ They risk being disrupted by a competitor who has growth hacking methods.

THE NEED FOR SPEED

⁃ Start-ups and established companies alike, in other words, simply can’t afford to be slowed down by organizational silos

MINING DATA GOLD

⁃ Growth hacking cultivates the maximization of big data through collaboration and information sharing.

THE RISING COSTS AND DUBIOUS RETURNS OF TRADITIONAL MARKETING

⁃ Growth hacking empowers companies to achieve breakout growth without pouring money into outdated and horribly expensive marketing campaigns of questionable business value.

GETTING THE JUMP ON NEW TECHNOLOGY

⁃ Seizing these opportunities requires tech and marketing teams to work closely together.

(VIRAL CHANNEL EFFECTIVENESS is rapidly changing)

Myth busting

0. First, the process is not, as it’s been misunderstood by some, about discovering one “silver bullet” solution.

0. Second, many companies believe they can simply hire a single Lone Ranger to be the growth hacker, who will swoop in with a bag of magic tricks to bring growth to their business. This, too, is badly misguided. Throughout the book we show that, in reality, growth hacking is a team effort, that the greatest successes come from combining programming know-how with expertise in data analytics and strong marketing experience, and very few individuals are proficient in all of these skills.

0. Growth hacking is often characterized as being specifically about bringing in new users or customers. But in fact, growth teams are, and should be, tasked with much broader responsibilities:

A) They should also work on customer activation. In addition, growth teams should work on finding ways to 

B) retain and 

C) monetize customers.

Part I: Method

Building Growth Teams

Breaking silos…. “This kind of collaboration between marketing and product teams is woefully uncommon. As the BitTorrent team soon realized, often the best ideas come from this type of cross-functional collaboration, which, again, is why it’s a fundamental feature of the growth hacking process. P.S. BitTorrent was a company that had 50 people in their pay roll.”

“The success of this data-driven approach to growth and product development prompted the BitTorrent executives to invest more heavily in data science and staff up its analytics team.”

THE WHO

These positions can be also seen as functions or responsibilities if they cannot be identified/dedicated as persons to the growth team.

A) THE GROWTH LEAD

“The growth lead sets the course for experimentation as well as the tempo of experiments to be run, and monitors whether or not the team is meeting their goals.

All growth leads require a basic set of skills: fluency in data analysis; expertise or fluency in product management (meaning the process of developing and launching a product); and an understanding of how to design and run experiments.”

B) PRODUCT MANAGER

“The role is well suited to assisting in the growth hacking mission of breaking down the silos between departments and identifying good candidates in engineering and marketing to help start the growth team.”

C) SOFTWARE ENGINEERS

“Recall that at BitTorrent, the engineers were invaluable in recommending the development of the lucrative battery saver feature. The very essence of growth hacking is the hacker spirit that emerged out of software development and design of solving problems with novel engineering approaches. Growth teams simply don’t work without software engineers being a part of them.”

D) MARKETING SPECIALISTS

“The cross-pollination of expertise between engineering and marketing can be particularly fruitful in generating ideas for hacks to try.”

E) DATA ANALYSTS

“Understanding how to collect, organize, and then perform sophisticated analysis on customer data to gain insights that lead to ideas for experiments, is another of the cornerstone requirements for teams. A growth team might not include an analyst as a full-time member, but rather have an analyst assigned to it who collaborates with the team but performs other work for the company as well. “

“What is essential is that data analysis not be farmed out to the intern who knows how to use Google Analytics or to a digital agency, to cite extreme but all too frequent realities.”

F) PRODUCT DESIGNERS

“Having design experience on a team often improves the speed of execution of experiments, because the team has a dedicated staff person to immediately produce whatever design work may be involved.”

THE SIZE AND SCOPE

“If you’re just starting to form a growth team, then bringing over one or two individuals from different departments to get the team started may be a good way to get the ball rolling, and the size of the team can grow over time.”

THE HOW

“The process is a continuous cycle comprising four key steps:

(1) ANALYZE: Data analysis and insight gathering;

(2) IDEATE: Idea generation;

(3) PRIORITIZE: Experiment prioritization; and

(4) TEST: Running the experiments, and then circles back to the analyze step to review results and decide the next steps.”

<= Check also the process behind The Lean Startup (Build-Measure-Learn).

Churn – is it a new business opportunity?

“An in-depth analysis of customer churn (meaning identifying those who recently abandoned the product) might reveal that the people who are defecting haven’t made use of a particular feature of the product that is popular with avid users.

Growth cannot be a side project

You need a Executive sponsor…. “Growth teams must be worked into the organizational reporting structure of a company with total clarity about to whom the growth lead reports. It is imperative that a high-level executive is given responsibility for the team, in order to assure that the team has the authority to cross the bounds of the established departmental responsibilities. Growth cannot be a side project. Without clear and forceful commitment from leadership, growth teams will find themselves battling bureaucracy, turf wars, inefficiency, and inertia.”

THE REPORTING STRUCTURES FOR TEAMS

THE PRODUCT-LED MODEL

Growth team is under vice president for products.

–      Acquisition = New Business

–      Activation = Current customers

–      Retention = Retention

In addition to Pinterest, companies that follow this model include LinkedIn, Twitter, and Dropbox.

THE INDEPENDENT-LED MODEL

“Independent teams are most easily established early in a company’s development before corporate structures have crystallized and ownership battles over resources and reporting formalize. When the turf isn’t yet claimed, there are fewer complaints against redistributing responsibility and headcount to a growth team. That said, it’s not impossible to introduce independent growth teams in established, larger companies.”

Chapter 2 Must-have product

The Cardinal Rules of Growth Hacking

“One of the cardinal rules of growth hacking is that you must not move into the high-tempo growth experimentation push until you 

1. know your product is must-have, 

2. why it’s must-have, and 

3. to whom it is a must-have: in other words, what is its core value, to which customers, and why.”

“The opportunity costs of pushing for growth too soon are twofold. 

0. First, you’re spending precious money and time on the wrong efforts (i.e., on promoting a product that no one wants); and 

0. second, rather than turning early customers into fans, you’re making them disillusioned, even angry, critics. Remember that viral word of mouth can work two ways; it can supercharge growth or it can stop it in its tracks.”

“Many other products that achieved rocket-like growth by pushing too hard too soon for adoption have flamed out in similarly spectacular fashion. Which is why all growth hackers must always keep in mind that, as the growth team at Airbnb says, “love creates growth, not the other way around.”

“And for there to be love, there needs to be that aha moment.” 

WHAT’S THE AHA MOMENT?

“Identifying what a product’s aha moment is can sometimes be quite tricky.”

Find your true believers: “Vital step in determining whether your product has the aha potential is to seek out truly avid fans by mining user data and feedback, and then to search for any similarities in the ways these people use the product.”

For example at Slack the 2 000 messages is a threshold. “A team chat and messaging product designed to eliminate internal corporate email threads (and one of the fastest-growing business applications of all time), data showed that once team members had sent and received 2,000 messages to one another, the team became far more likely to make Slack a core part of their communication workflow and upgrade to a paid plan with premium features.”

“The good news is that while discovering how to make a product deliver an aha moment can be very difficult, determining whether or not your product meets the baseline requirement generally doesn’t require elaborate diagnostics. We advise a simple two-part assessment.”

THE MUST-HAVE SURVEY

This Must-Have Survey begins with the question: 

How disappointed would you be if this product no longer existed tomorrow? 

a) Very disappointed 

b) Somewhat disappointed 

c) Not disappointed (it really isn’t that useful) 

d) N/ A—I no longer use it

Now this is important!

–      “Interpreting the results is simple enough; if 40 percent or more of responses are “very disappointed,” then the product has achieved sufficient must-have status, which means the green light to move full speed ahead gunning for growth.”

–      “If 25 to 40 percent of respondents answer “very disappointed,” then often what’s needed are tweaks either to the product or to the language used to describe the product and how to use it. If less than 25 percent answer “very disappointed,” it’s likely that either the audience you’ve attracted is the wrong fit for your product, or the product itself needs more substantial development before it’s ready for a growth push.”

–      “In these cases, a set of additional questions on the Must-Have Survey will help to point you toward your next steps: What would you likely use as an alternative to [name of product] if it were no longer available? I probably wouldn’t use an alternative I would use: What is the primary benefit that you have received from [name of product]? Have you recommended [name of product] to anyone? No Yes (Please explain how you described it) What type of person do you think would benefit most from [name of product]? How can we improve [name of product] to better meet your needs? Would it be okay if we followed up by email to request a clarification to one or more of your responses?”

“The question about alternative products can help identify your chief competition for customers.”

MEASURING RETENTION 

“The second measure to use in assessing whether or not you’ve achieved must-have status is your product’s retention rate.” 

Achieving stable retention should not be viewed as a benchmark that once passed can be assumed has been accomplished and that the team is done with; teams must expect to continue to work on sustaining retention. And, in fact, they should keep working to improve the retention rate.

Remember that “according to data published by mobile intelligence company Quettra, most mobile apps, for example, retain just 10 percent of their audience after one month, while the best mobile apps retain more than 60 percent of their users one month after installation.” 

“And fast-food restaurant chains see month-over-month retention of customers ranging from 50 to 80 percent. For example, McDonald’s saw 78 percent of their customers come in every month to their restaurants in 2012.14 A 2013 study concluded that credit card companies in the US see annual churn rates of roughly 20 percent, while European cellphone carriers see churn of anywhere between 20 and 40 percent.” 

“Be aware of the feature creep; that is, adding more and more features that do not truly create core value and that often make products cumbersome and confusing to use.”

How to find your true believers?

Innovators and Etsy…. “Etsy discovered the network power of “Stitch ’n Bitch” groups, comprised of feminist crafters who were a key force in the growth of the craft movement.”

Proximity and Tinder… “Yet Tinder faced a unique challenge in gaining early adopters that wasn’t an issue for Etsy—people are only interested in finding dating prospects who are fairly close by.”

Preexisisting communities… “Preexisting communities to target for insight into how to achieve the aha moment can also.”

House of Cards…. “For example, at Netflix, by examining the movies and shows that customers were watching, the company found that Kevin Spacey films and political drama series were both hugely popular with their customers. That insight gave the company confidence to green-light the development of House of Cards, which became not only a huge hit, but also a must-have experience for many subscribers.”

Instagram… “Systrom and cofounder Mike Krieger realized that taking and sharing photos was the aha experience they should redesign around.”

YouTube…. “Similarly, though it is hard to believe today, YouTube started as a video dating site, pivoting to be the home for all video online only once the founders saw that users weren’t only uploading video profiles to find dates, but rather sharing videos of all types.”

“A minimum viable test (MVT), the least costly experiment that can be run to adequately vet an idea.”

“One particularly powerful and typically inexpensive method is A/ B testing.”

DRIVING TO THE AHA 

–      Focus…. “Remember that all of this experimentation and analysis should be focused on discovering the aha moment you are offering, or can offer, customers.

–      New customers…. “Once the conditions that create that magical experience have been identified, the growth team should turn its attention to getting more customers to experience that moment as fast as possible.”

Companies deploy many additional tactics to drive users to the aha, such as product tours, email communication, special offers, and more, and we’ll cover when and how to implement each type more fully in the later chapters.

III. Identifying your growth levers

HACKING YOUR GROWTH STRATEGY

Growth strategy…. “Creating an aha moment and driving more people to it is the starting point for hacking growth. The next step is to determine your growth strategy.”

Mad scientist…. “You must be rigorously scientific in identifying the kind of growth you need and the levers that will drive it.”

Build your own growth equation.

Uber…. “For Uber, for example, one crucial factor is the number of drivers, because there must be enough of them in any given location to ensure the aha moment of a ride showing up quickly. The number of riders is also crucial, not only for generating revenue, but for assuring that there’s enough demand for drivers so that those who do sign on keep driving. This is why the growth team at Uber is tasked specifically with improving these two core metrics.”

LinkedIn…. “But for LinkedIn, the large pool of people who have simply filled in their work profiles, even if they hardly ever visit the site, is the fundamental basis of the site’s value.”

eBay…. “By contrast, for eBay, one of the metrics that matters most is not daily users or new users but the number of items listed for sale.”

CHOOSING A NORTH STAR

“Some in the growth community refer to this one key metric as the One Metric That Matters, while others call it the North Star.”

“The North Star should be the metric that most accurately captures the core value you create for your customers. To determine what that is you must ask yourself: Which of the variables in your growth equation best represents the delivery of that must-have experience you identified for your product?”

WhatsApp… “WhatsApp’s North Star was therefore the number of messages sent.”

AirBnB… “For Airbnb, the North Star was nights booked.”

“The North Star may change over time as the company grows and initial goals are achieved.”

“As companies grow, they also create more product and growth teams, which have their own North Stars, even while the company may still have its one overridingly important metric.”

Picking the right North Star helps to reorient growth efforts to more optimal solutions.

IT’S NOT ALL ABOUT THE NUMBERS

Dashboards…. “For small start-ups such as Geckoboard and Klipfolio, to enterprise solutions such as Tableau and Qlik Sense and dozens more.”

Twitter…. “Three cohorts: core users, who visited at least seven times a month; casual users, who visited less often; and cold users, who never came back after a first visit.”

IV. Testing at high tempo

“Learning more by learning faster is also the goal—and the great benefit—of the high-tempo growth hacking process.”

Mannaryyni-strategia… “Remember that, generally, big successes in growth hacking come from a series of small wins, compounded over time.”

“Many of the leading growth teams regularly run 20 to 30 experiments a week, and some run many more.” 

THE GROWTH HACKING CYCLE

Recall that the stages of the process are: 

0. Analyze – data analysis and insight gathering, 

0. Ideate – idea generation, experiment prioritization, 

0. Test – running the experiments, and 

0. Analyze – then returning to the analyze step to review results and decide next steps, in a continuous loop.

“In the very first growth meeting, you won’t yet be making decisions about which tests to run. Rather, team members will take the next week to brainstorm and percolate ideas for what experiments to run in the first cycle.”

As Linus Pauling said, “The best way to have a good idea is to have lots of ideas.”

“Ideas should be submitted to an idea pipeline, following a templated format by which they should be submitted. It’s important to standardize the format so that ideas can be quickly evaluated, without the team needing to ask lots of questions.”

HYPOTHESIS

“Like in any other type of experiment, the hypothesis should be a simple proposition of expected cause and effect.

You ultimately want ideas coming in not only from the members of the team, but from people all around the company.

Before an idea is ready to be considered by the team, it must be scored. ICE score system, with ICE standing for 

0. Impact, 

0. Confidence, and 

0. Ease. 

When submitting ideas, the submitter should rate each idea on a ten-point scale, across each of the following three criteria: the idea’s potential impact, the submitter’s level of confidence in how effective it will be, and how easy it will be to implement.

It’s true that scoring your own ideas can be challenging, as they do require relative subjectivity and some degree of trying to predict the future.

While we like to use the ICE system, many other scoring systems have been created by fellow growth hackers. Bryan Eisenberg, considered the godfather of conversion optimization, recommends his TIR system, which stands for Time, Impact, and Resources. 3 Another system is PIE, for Potential, Importance, and Ease.” 

BACK TO STAGE

“ANALYSIS AND LEARNING The analysis of the test results should be conducted by either the analyst or the growth lead, if he or she has the expertise.

It should also be added to a database where you store all test summaries, which we call the knowledge base. Create a “Wins” email distribution list.”

War Room schedule

Your weekly schedule:

–      Monday

o  On Monday, the members check in on experiments in progress to identify any that can be concluded, or to collect data to update the team on during the meeting.

–      Tuesday

o  The growth meeting is held on Tuesdays, which provides the team with a day at the beginning of the week to finish some of the requisite prep work.

o  The growth team lead does a review of the activity from the prior week, including:

§ Look at the number of experiments successfully launched and compare it to the velocity goal of the team

§ Confer with the data analyst to update all of the key metrics they’re following so that she can brief the team about them, perhaps distributing reports

§ Gather the data about any tests that were concluded

§ Conduct a high-level assessment of the previous week’s activity and results, including a summary of findings about both the positive and negative effects on growth discovered from the experiments

§ Compile this information and include it with the meeting agenda, which acts as a living document and is shared with the team beforehand. Some teams keep this document as a file that lives in the cloud, such as in Google Docs or Dropbox, while others use an internal wiki page in software such as Google Sites, Confluence, or the corporate intranet.

Meeting schedule:

–      15 MINUTES: METRICS REVIEW AND UPDATE FOCUS AREA

–      10 MINUTES: REVIEW LAST WEEK’S TESTING ACTIVITY

–      15 MINUTES: KEY LESSONS LEARNED FROM ANALYZED EXPERIMENTS

–      15 MINUTES: SELECT GROWTH TESTS FOR CURRENT CYCLE

–      5 MINUTES: CHECK GROWTH OF IDEA PIPELINE

PART II: GROWTH HACKING PLAYBOOK

V. Hacking acquisition

“The first phase of work in scaling up your acquisition of customers should be devoted to achieving two additional types of fit: 

–      Language/ market fit, which is how well the way you describe the benefits of your product resonates with your target audience, and 

–      Channel/ product fit, which describes how effective the marketing channels are that you’ve selected to reach your intended audience with your product, such as paid search advertising or viral, or content, marketing.”

“The term language/ market fit was coined by James Currier to refer to how well the language you use to describe and market your product to potential users resonates with them and motivates them to give it a try.

Research has shown that the average attention span (the amount of time we focus on a new piece of information online) of humans is now eight seconds.”

“This means that the language you use must directly and persuasively connect with a need or desire they have in order to hook them—in eight seconds or less!”

“Most email marketing systems, such as Salesforce Marketing Cloud and MailChimp, make it easy to test specific pieces of your email copy, such as the subject line or call to action.”

LANGUAGE FIT HELPS HONE YOUR PRODUCT, NOT JUST YOUR BRANDING 

“Sometimes the changes in wording you arrive at will lead you to additional changes to make.”

Don’t diversify:

–      “In stock market investing, experts agree that it’s best to spread your money across a wide swath of diverse types of businesses and sectors. But this is not the right strategy when it comes to finding the channels for marketing and distributing your product (which in Web business are often one and the same).

–      Marketers commonly make the mistake of believing that diversifying efforts across a wide variety of channels is best for growth. As a result, they spread resources too thin and don’t focus enough on optimizing one or a couple of the channels likely to be most effective.

–      Most often it’s better, as Google founder and CEO Larry Page has said, to put “more wood behind fewer arrows.” Or as Peter Thiel, cofounder of PayPal, Palantir, and the first outside investor in Facebook, tells start-up founders, “It is very likely that one channel is optimal.

–      Most businesses actually get zero distribution channels to work. Poor distribution—not product—is the number one cause of failure.

–      If you can get even a single distribution channel to work, you have great business. If you try for several but don’t nail one, you’re finished.” 

There are two phases in which to home in on your best channels:

1)   Discovery and

2)   Optimization.

“You’ll often need to offer users an incentive. The best way to do this is to create a double-sided incentive, that is, one that offers something to both the sender and the recipient.”

CREATE AN INCENTIVE THAT’S IN SYNERGY WITH YOUR PRODUCT’S CORE VALUE

“Cash offers can work also, but for the best effect, it’s important that they’re also related to the core value of the product.”

EXPERIMENT, EXPERIMENT, EXPERIMENT

“The point is: many of the best hacks are unanticipated discoveries. The methods you read about are designed to help you find them—strategically, efficiently, and at low cost.”

VI. Hacking activation

“The first step in hacking activation is to identify each point in your customers’ journey toward the aha moment.”

CREATING A FUNNEL REPORT OF CONVERSIONS AND DROP-OFFS 

“One of the best ways to measure conversion rates is through a funnel report, a tool that displays the rates at which people who come to your product are moving on to each of the key steps in the customer journey.”

SURVEY DOS AND DON’TS

“We advise asking one or two questions at maximum, which either can be open-ended or can offer a set of answers to select from. 

We have a preference for open-ended questions because they don’t shoehorn people into your preconceived notions of what the problems users are encountering are. Letting them respond with whatever they feel like sharing allows them to surprise you.”

“The key takeaway here is that you cannot know ahead of time which experiments are going to be most effective.”

“The bottom line is: there are no shortcuts. But if you follow the three steps we have outlined above, you will rapidly discover ideas and insights that will produce dramatic gains in activation for your product. To recap, those steps are: 

–      map all of the steps that get users to the aha moment; 

–      create a funnel report that profiles the conversion rates for each of the steps and segments users by the channel through which they arrive; and 

–      conduct surveys and interviews both of users who progressed through each step where you’re seeing high drop-offs, and those who left at that point to understand the causes of drop-off.”

ERADICATING FRICTION

“In user experience design, friction is the term used to refer to any annoying hindrances that prevent someone from accomplishing the action they’re trying to complete, such as ads that pop up in the middle of an article you’re reading.”

DESIRE – FRICTION = CONVERSION RATE

Important…. “In order to improve activation, you can either increase your customers’ desire or reduce the friction they experience.”

OPTIMIZING THE NEW USER EXPERIENCE 

First rule…. “The first rule of designing and optimizing your NUX is to treat it as a unique, onetime encounter with your product.”

Second rule…. “The second rule is that the first landing page of the NUX must accomplish three fundamental things: communicate relevance, show the value of the product, and provide a clear call to action.”

“Flip the funnel, meaning to allow visitors to start experiencing the joys of your product before asking them to sign up.”

THE POWER OF POSITIVE FRICTION 

“One of the great ironies of improving activation is that not all friction is bad.

Learn flow is Elman’s definition of a new user experience that’s designed to more than just sign people up, but rather purposefully educates new users about the product, its benefits and value.”

THE ART OF THE QUESTIONNAIRE 

“Neil Patel, a leading expert in growth hacking, has highlighted the effectiveness of asking users a set of questions as you greet them.

A key caution here is that you also don’t want to ask too many questions. Patel recommends no more than five, and making them multiple-choice rather than open-ended.”

GAMIFICATION PROS AND CONS 

“Gamification is, in essence, offering rewards, such as perks and benefits not available to all people, to customers for taking certain actions.”

INS AND OUTS OF TRIGGERS

“Triggers are any sort of prompt that provokes a response from people, common ones being email notifications, mobile push notifications, and, less obtrusively, calls to action on a landing page.

There is no denying that triggers are one of the most powerful tactics for increasing the use of your product.

A great rule of thumb about deploying triggers is that your rationale for getting in touch with the users should be to alert them of an opportunity of clear value to them. For example, the grocery app team could send notifications when an item that a person has saved in their shopping list goes on sale.

The bottom line is: do experiment with triggers, because they can be extraordinarily effective, but do so with a very thoughtful understanding of how they can actually be of service to your users.”

VII. Hacking retention

“Legendary business expert Peter Drucker famously wrote many years ago that the purpose of business is to create and keep a customer.”

“Frederick Reichheld of Bain & Company has shown that a 5 percent increase in customer retention rates increases profits by anywhere from 25 to 95 percent.”

WHAT DRIVES RETENTION? 

“What builds customer loyalty and keeps customers coming back.”

THE THREE PHASES OF RETENTION

1. “The initial retention period is the critical time during which a new user either becomes convinced to keep using or buying a product or service, or goes dormant after one or a few visits.

2. “Medium retention phase, a period when the interest in a product’s novelty often fades.”

3. “Long-term retention. This is the phase in which growth teams can help to assure that a product keeps offering customers more value.”

“For e-commerce, the basic metric of retention is the repurchase rate of customers, which might, for example, be the number of times customers make a purchase per month.”

IDENTIFY AND CHART YOUR COHORTS

Cohort analysis….. “This allows you to probe more deeply into your data to make discoveries about why those who are staying are doing so—and why others are not.”

HACKING INITIAL RETENTION 

“Once you’ve analyzed the cohort data to identify drop-off points in initial retention and deployed surveys to probe into the causes of the defections, you can begin to experiment with solutions.”

“One general rule that holds true across most product types is that improving the perceived value of the rewards leads to greater retention.”

“Teams should be creative about thinking of ideas for such nontangible rewards to offer, and they should also experiment with blending both tangible rewards and experiential and social ones.” Such as:

1.   BRAND AMBASSADOR PROGRAMS

2.   RECOGNITION OF ACHIEVEMENTS

3.   CUSTOMIZATION OF THE RELATIONSHIP

“Promise of new features as a retention hook. “Coming Soon” hack.”

LONG-TERM RETENTION 

“Once you’ve achieved strong retention for a good base of users, the next step is to focus on continuing to keep them happy and highly active over the long haul. Here we recommend a two-pronged approach that involves:

(1) optimizing the current set of product features, notifications, and subsequent rewards from repeated use; and

(2) introducing a steady stream of new features over a long period of time.”

ONGOING ONBOARDING 

As new features are added, and also as more discoveries are made about how the most avid and satisfied of your customers are using your product, it’s important to continue to educate your customers about the value they can be deriving from your product.”

RESURRECTING “ZOMBIE” CUSTOMERS 

“Winning back users who’ve abandoned a product is called resurrection in growth circles. The growth hacking process can again help you discover experiments to run to win back “zombie customers” who have disappeared off your radar.”

VIII. Hacking monetization

MAP YOUR MONETIZATION FUNNEL 

“As with all growth hacking efforts, the first step is to perform data analysis that will help you home in on the highest-potential experiments. When it comes to monetization, analysis starts by returning to the basic mapping of the entire customer journey.”

ASK CUSTOMERS WHAT BENEFITS THEY WANT 

“Growth teams should also again make use of surveys and find out directly from customers what improvements in the product, such as possible new features, new plan levels, or perhaps improved selection of items for sale, each of your key customer segments would most like to see.”

DON’T BE INTRUSIVE 

“An important word of caution about customizing is that it can backfire if you’re not sensitive about how you’re doing it. If you seem to be prying too deeply into people’s lives, customization becomes, for lack of a better word, creepy.”

OPTIMIZING YOUR PRICING

“William Poundstone cites the power of using “charm prices,” those that purposefully end with a 9 or 99 or 98 or 95 instead of the full round dollar amount. Hard as it may be to believe, those pricing strategies actually work; Poundstone writes, “In 8 studies published from 1987 to 2004, charm prices were reported to boost sales by an average of 24 percent relative to nearby prices.” 

LESS IS NOT ALWAYS MORE

“Psychologist and bestselling author Robert Cialdini explains this phenomenon: he says this is the result of people using price as a signal for quality, and it’s particularly common in markets such as technology and professional services.”

“Moreover, monetizing free users through ads, or by charging for add-on features, can be extremely lucrative.”

How should we change according to the book?

“Certain species of sharks must always keep moving to survive; if they stop swimming, they literally die. Growth teams are like those sharks. Teams that aren’t constantly innovating, that aren’t continuously diving into customer data and surveying, and that aren’t rapidly experimenting and producing results are not long for the world.”

What should I personally do?

I’m glad that I’ve studied statistics, because doing Internet business for 22 years has required basic understanding on statistical analysis. How little did I know back in the university days that statistics will be so useful in my career. My learning would that you should always study topics that might not seem super relevant “right at the moment”.

I should venture into new areas and educate myself.

And…. Try Kissmetrics.

Summary

The book in six words – “Love creates growth, not the other way around”.

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Kai-Fu Lee: AI Superpowers

About the book

This is one of the ”The Economist’s books of the year”. It is also a very political book and everyone who is interested about foreign policy should read this.

Like electricity…. “Deep-learning pioneer Andrew Ng has compared AI to Thomas Edison’s harnessing of electricity: a breakthrough technology on its own, and one that once harnessed can be applied to revolutionizing dozens of different industries. Just as nineteenth-century entrepreneurs soon began applying the electricity breakthrough to cooking food, lighting rooms, and powering industrial equipment, today’s AI entrepreneurs are doing the same with deep learning. Much of the difficult but abstract work of AI research has been done, and it’s now time for entrepreneurs to roll up their sleeves and get down to the dirty work of turning algorithms into sustainable businesses.”

Harnessing the power of AI today—the “electricity” of the twenty-first century—requires four analogous inputs:

–      abundant data,

–      hungry entrepreneurs,

–      AI scientists and

–      an AI-friendly policy environment.

What are the key learnings?

This is a boring book if you have already read five other AI-books for business people. Kai-Fu Lee uses the same examples that are already widely used. For example why we are currently living in a AI-era? Because of the computing power and data. ”Both data and computing power were in short supply at the dawn of the field in the 1950s.” Or ”The turning point came in 2012, when a neural network built by Hinton’s team demolished the competition in an international computer vision contest.” Or “Deep learning is what’s known as “narrow AI”—intelligence that takes data from one specific domain and applies it to optimizing one specific outcome.”

Key learnings:

–      Copycat Era

o  Chinese startup ecosystem. The copycat era had forged world-class entrepreneurs, and they were just beginning to apply their skills to solving uniquely Chinese problems.

§ They burn cash like crazy and rely on armies of low-wage delivery workers to make their business models work. It’s a defining trait of China’s alternate internet universe that leaves American analysts entrenched in Silicon Valley orthodoxy scratching their heads.

–      Saudi-Arabia of Data

o  These companies are turning China into the Saudi Arabia of data.

–      O2O Evolution

o  Online-Merge-Offline

o  Analysts dubbed the explosion of real-world internet services that blossomed across Chinese cities the “O2O Revolution,” short for “online-to-offline.”

o  Uber may have given an early glimpse of O2O, but it was Chinese companies that would take the core strengths of that model and apply it to transforming dozens of other industries.

o  But the O2O revolution showcased an even deeper—and in the age of AI implementation, more impactful—divide between Silicon Valley and China—what I call “going light” versus “going heavy.” The terms refer to how involved an internet company becomes in providing goods or services. They represent the extent of vertical integration as a company links up the on-and offline worlds. When looking to disrupt a new industry, American internet companies tend to take a “light” approach. Going heavy means building walls around your business, insulating yourself from the economic bloodshed of China’s gladiator wars.

–      AI expertise and government support.

Other learnings are that:

–      Hail China…

o  But around 2013, China’s internet took a right turn. Rather than following in the footsteps or outright copying of American companies, Chinese entrepreneurs began developing products and services with simply no analog in Silicon Valley.

–      Half of the AI-market will go to China…..

o  “PricewaterhouseCoopers estimates AI deployment will add $ 15.7 trillion to global GDP by 2030. China is predicted to take home $ 7 trillion of that total, nearly double North America’s $ 3.7 trillion in gains.”

–      Entrepreneurs….

o  The most valuable product to come out of China’s copycat era wasn’t a product at all: it was the entrepreneurs themselves.

–      Key message of the book…..

o  Corporate America is unprepared for this global wave of Chinese entrepreneurship because it fundamentally misunderstood the secret to The Cloner’s success.

The Four Waves of AI

The complete AI revolution will take a little time and will ultimately wash over us in a series of four waves:

1)   Internet AI i.e. Optimization of user behaviour

2)   Business AI i.e. Optimization of business data

3)   Perception AI i.e. Optimizing online and offline environment

4)   Autonomous AI i.e. Optimizing machine learning and perception

“The first two waves—internet AI and business AI—are already all around us.

Perception AI is now digitizing our physical world, learning to recognize our faces, understand our requests, and “see” the world around us. This wave promises to revolutionize how we experience and interact with our world, blurring the lines between the digital and physical worlds.

Autonomous AI will come last but will have the deepest impact on our lives. As self-driving cars take to the streets, autonomous drones take to the skies, and intelligent robots take over factories, they will transform everything from organic farming to highway driving and fast food.”

FIRST WAVE: INTERNET AI (optimization of user behaviour)

“Internet AI is largely about using AI algorithms as recommendation engines: systems that learn our personal preferences and then serve up content hand-picked for us.

Average people experience this as the internet “getting better”—that is, at giving us what we want—and becoming more addictive as it goes.”

This is the Technolandia.

SECOND WAVE: BUSINESS AI (optimization of business data)

“For instance, insurance companies have been covering accidents and catching fraud, banks have been issuing loans and documenting repayment rates, and hospitals have been keeping records of diagnoses and survival rates. All of these actions generate labeled data points.

Business AI mines these databases for hidden correlations that often escape the naked eye and human brain.

Optimizations like this work well in industries with large amounts of structured data on meaningful business outcomes. In this case, “structured” refers to data that has been categorized, labeled, and made searchable. Prime examples of well-structured corporate data sets include historic stock prices, credit-card usage, and mortgage defaults.

There’s no question that China will lag in the corporate world, but it may lead in public services and industries with the potential to leapfrog outdated systems.”

THIRD WAVE: PERCEPTION AI (optimizing online and offline environment)

“Third-wave AI is all about extending and expanding this power throughout our lived environment, digitizing the world around us through the proliferation of sensors and smart devices.

Amazon Echo is digitizing the audio environment of people’s homes. Alibaba’s City Brain is digitizing urban traffic flows through cameras and object-recognition AI. Apple’s iPhone X and Face + + cameras perform that same digitization for faces, using the perception data to safeguard your phone or digital wallet.

Important…… I call these new blended environments OMO: online-merge-offline. OMO is the next step in an evolution that already took us from pure e-commerce deliveries to O2O (online-to-offline) services. Each of those steps has built new bridges between the online world and our physical one, but OMO constitutes the full integration of the two.

True application… One KFC restaurant in China recently teamed up with Alipay to pioneer a pay-with-your-face option at some stores. Customers place their own order at a digital terminal, and a quick facial scan connects their order to their Alipay account—no cash, cards, or cell phones required…. Pay-with-your-face applications.

Central to that system is the Mi AI speaker, a voice-command AI device similar to the Amazon Echo but at around half the price, thanks to the Chinese home-court manufacturing advantage. That advantage is then leveraged to build a range of smart, sensor-driven home devices: air purifiers, rice cookers, refrigerators, security cameras, washing machines, and autonomous vacuum cleaners. Xiaomi doesn’t build all of these devices itself. Instead, it has invested in 220 companies and incubated 29 startups—many operating in Shenzhen—whose intelligent home products are hooked into the Xiaomi ecosystem. Together they are creating an affordable, intelligent home ecosystem, with WiFi-enabled products that find each other and make configuration easy.

Third-wave AI products like these are on the verge of transforming our everyday environment, blurring lines between the digital and physical world until they disappear entirely.

These third-wave AI innovations will create tremendous economic opportunities and also lay the foundation for the fourth and final wave, full autonomy.”

FOURTH WAVE: AUTONOMOUS AI

For example…. “Shenzhen is home to DJI, the world’s premier drone maker and what renowned tech journalist Chris Anderson called “the best company I have ever encountered.” DJI is estimated to already own 50 percent of the North American drone market and even larger portions of the high-end segment.”

Perfect is the enemy of the good

“Perfect vs. Incremental vs. the Chinese mentality is that you can’t let the perfect be the enemy of the good. Indeed, local officials are already modifying existing highways, reorganizing freight patterns, and building cities that will be tailor-made for driverless cars.

America’s global juggernauts seek to conquer these markets for themselves, China is instead arming the local startup insurgents.

There are already some precedents for the Chinese approach. Ever since Didi drove Uber out of China, it has invested in and partnered with local startups fighting to do the same thing in other countries: Lyft in the United States, Ola in India, Grab in Singapore, Taxify in Estonia, and Careem in the Middle East.

An alternate model of AI globalization: empower homegrown startups by marrying worldwide AI expertise to local data.”

Utopia vs. Dystopia

“It has fed a belief that we’re on the verge of achieving what some consider the Holy Grail of AI research, artificial general intelligence (AGI)—thinking machines with the ability to perform any intellectual task that a human can—and much more. Some predict that with the dawn of AGI, machines that can improve themselves will trigger runaway growth in computer intelligence. Often called “the singularity,” or artificial superintelligence, this future involves computers whose ability to understand and manipulate the world dwarfs our own, comparable to the intelligence gap between human beings and, say, insects. Such dizzying predictions have divided much of the intellectual community into two camps: utopians and dystopians.

Getting to AGI would require a series of foundational scientific breakthroughs in artificial intelligence, a string of advances on the scale of, or greater than, deep learning. These breakthroughs would need to remove key constraints on the “narrow AI” programs that we run today and empower them with a wide array of new abilities: multidomain learning; domain-independent learning; natural-language understanding; commonsense reasoning, planning, and learning from a small number of examples.

General Purpose Technologies (GPTs)

Like the utopian and dystopian forecasts for AGI, this prediction of a jobs and inequality crisis is not without controversy. A large contingent of economists and techno-optimists believe that fears about technology-induced job losses are fundamentally unfounded.

These are what economists call General Purpose Technologies, or GPTs. In their landmark book The Second Machine Age, MIT professors Erik Brynjolfsson and Andrew McAfee described GPTs as the technologies that “really matter,” the ones that “interrupt and accelerate the normal march of economic progress.”

Three technologies that receive broad support: the steam engine, electricity, and information and communication technology (such as computers and the internet).”

Consulting firm PwC predicts that AI will add $ 15.7 trillion to the global economy by 2030.

Important…. Artificial intelligence will be the first GPT of the modern era in which China stands shoulder to shoulder with the West in both advancing and applying the technology.”

Leap and Data

“In deep learning, there’s no data like more data.

The country’s massive number of internet users—greater than the United States and all of Europe combined—gives it the quantity of data, but it’s then what those users do online that gives it the quality.

Hardly anyone noticed when the world’s most powerful app waltzed onto the world stage. The January 2011 launch of WeChat, Tencent’s new social messaging app, received only one mention in the English-language press, on the technology site the Next Web.

Airbnb largely remains a lightweight platform for listing your home, the company’s Chinese rival, Tujia, manages a large chunk of rental properties itself. For Chinese hosts, Tujia offers to take care of much of the grunt work: cleaning the apartment after each visit, stocking it with supplies, and installing smart locks.

Leap…. But that leap to mobile payments wasn’t just a product of weak incumbents and independent consumer choices. Alibaba and Tencent accelerated the transition by forcing adoption through massive subsidies, a form of “going heavy” that makes American technology companies squirm.

Imporant once again…. Data from mobile payments is currently generating the richest maps of consumer activity the world has ever known, far exceeding the data from traditional credit-card purchases or online activity captured by e-commerce players like Amazon or platforms like Google and Yelp.

Something new was emerging from all those rides: perhaps the world’s largest and most useful internet-of-things (IoT) networks.

THE STUFF OF AN AI SUPERPOWER

“As I laid out earlier, creating an AI superpower for the twenty-first century requires four main building blocks: abundant data, tenacious entrepreneurs, well-trained AI scientists, and a supportive policy environment. We’ve already seen how China’s gladiatorial startup ecosystem trained a generation of the world’s most street-smart entrepreneurs, and how China’s alternate internet universe created the world’s richest data ecosystem.”

About workforce and the future of workforce

Jobs….” The OECD team instead proposed a task-based approach, breaking down each job into its many component activities and looking at how many of those could be automated. In this model, a tax preparer is not merely categorized as one occupation but rather as a series of tasks that are automatable (reviewing income documents, calculating maximum deductions, reviewing forms for inconsistencies, etc.) and tasks that are not automatable (meeting with new clients, explaining decisions to those clients, etc.). The OECD team then ran a probability model to find what percentage of jobs were at “high risk” (i.e., at least 70 percent of the tasks associated with the job could be automated). As noted, they found that in the United States only 9 percent of workers fell in the high-risk category. Applying that same model on twenty other OECD countries, the authors found that the percentage of high-risk jobs ranged from just 6 percent in Korea to 12 percent in Austria.”

Kai-Fu Lee: “I also respectfully disagree with the low-end estimates of the OECD.”

“But beyond that disagreement over methodology, I believe using only the task-based approach misses an entirely separate category of potential job losses: industry-wide disruptions due to new AI-empowered business models. Separate from the occupation-or task-based approach, I’ll call this the industry-based approach.”

Theory or Paradox… “Core to this logic is a tenet of artificial intelligence known as Moravec’s Paradox. Hans Moravec was a professor of mine at Carnegie Mellon University, and his work on artificial intelligence and robotics led him to a fundamental truth about combining the two: contrary to popular assumptions, it is relatively easy for AI to mimic the high-level intellectual or computational abilities of an adult, but it’s far harder to give a robot the perception and sensorimotor skills of a toddler.”

“Within fifteen years I predict that we will technically be able to automate 40 to 50 percent of all jobs in the United States. That does not mean all of those jobs will disappear overnight, but if the markets are left to their own devices, we will begin to see massive pressure on working people.

What about Europe? Is our future the Dataslavery…..

No Europeans in the AI race…. “The seven that have emerged as the new giants of corporate AI research—Google, Facebook, Amazon, Microsoft, Baidu, Alibaba, and Tencent.” If Europe cannot race with the AI Superpowers we have to cope.

How to cope with AI? THE THREE R’S:

–      REDUCE,

–      RETRAIN

–      REDISTRIBUTE

“Many of the proposed technical solutions for AI-induced job losses coming out of Silicon Valley fall into three buckets: retraining workers, reducing work hours, or redistributing income.”

Those advocating the retraining of workers tend to believe that AI will slowly shift what skills are in demand, but if workers can adapt their abilities and training, then there will be no decrease in the need for labor. Those advocates of reducing work hours believe that AI will reduce the demand for human labor and feel that this impact could be absorbed by moving to a three-or four-day work week, spreading the jobs that do remain over more workers. The redistribution camp tends to be the most dire in their predictions of AI-induced job losses. Many of them predict that as AI advances, it will so thoroughly displace or dislodge workers that no amount of training or tweaking hours will be sufficient.

How should we change according to the book?

“AI today—the “electricity” of the twenty-first century”. We should invent the applications that will be using AI?

What should I personally do?

Check this out…. www.arxiv.org

Summary

The book in six words – “You can’t connect the dots looking forward. You can only connect them looking backwards. So you have to trust that the dots will somehow connect in your future.” (Steve Jobs)

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Ries: The Startup Way

About the book

“Nobody wants to work at an old-fashioned company. Nobody wants to buy products from an old-fashioned company. And nobody wants to invest in an old-fashioned company” (Jeff Immelt / General Electric).

The ambition of the book is to create a system that helps companies to create long-term growth and flexibility.

Second ambition is to teach that entrepreneurship is not only for entrepreneurs.

Make a Leap!

What are the key learnings?

The key learning of the book is:

A.   How to use The Startup Way as an organizational capability for continuous transformation.

B.   Innovation Accounting as a tool to understand the commercial potential of business development..

The ultimate goal is “to enable the entire organization to function as a portfolio of startups” and the new way of working becomes the culture. Driving forces can be crisis of any sort or new strategy or hyper-growth.

Lean Startup Method

In a nutshell the tool is the Lean Startup method. And the Lean Startup method is all about vision and how to find the fastest way on realizing the vision:

1)   Leap of Faith Assumptions (LOFA) are “the beliefs what must be true in order for the startup to succeed.

2)   Minimum Viable Products (MVP) are experiments where you test the assumptions “as quickly and as inexpensively as possible”. What people actually want?

3)   Validate Learning and think like a scientist. Follow the 3A rule:

o  Actionable (clear cause and effect).

o  Accessible (share the data).

o  Auditable (data must be credible).

4)   Build-Measure-Learn feedback loop is the tool. Take the learning from the experiments and start the loop again. Like in Growth Hacking?

5)   Cadence-Pivot-Persevere means that you should at least every six (6) weeks:

o  Regularly meet to learn from the experiments by asking questions.

§ What did you learn? How do you know it?

o  Make change in the strategy according the learnings.

o  Pivot or stay on course. Famous pivot stories: PayPal went from Palm Pilots to web-based version and Netflix moved from DVDs to streaming.

These are the topics on building a corporate version of the Lean Startup

A) MVP   

o How to use MVPs (minimum viable products) in corporate environments.

B)   Small Teams

It’s all about teams and small teams beat big teams:

o  Small teams have the bond and the communication in is intense due to the proximity.

o  Small teams are like hunting parties, desperately seeking for product/market fit.

C)   Pivot

a.   “A change in strategy without a change in vision” and “without a vision you cannot pivot”.

D)   Scarcity

a.   No extra time, no extra money, no extra people. Corporate death is around the corner.

E)   You have to focus.

a.   A true customer problem is the very first thing a team focuses on.

F)   Financializing learning.

a.   “Equity ownership is not a cash bonus. It’s a measurement of what the startup has learned about far future profits. Equity ownership is the least distortionary set of incentives”

Accountability is the foundation of management:

1)   Accountability

a.   “The systems, rewards and incentives drive employees’ behaviour and focus their attention”.

2)   Process

a.   “The process is the tools and tactics that employees habitually use every day to get work done”.

3)   Culture

a.   “Beliefs that determine what employees believe to be possible”.

4)   People

a.   “The success of any organization depends on the calibre of the people it is able to attract and retain”.

Recovery process is needed when 5hit hits the fan. Obey these rules:

Rule 1: The war room is the place where the problems are solved, not for shifting blame.

Rule 2: Talking is allowed only to the people who know most about the issues.

Rule 3: We need to stay focused. 

The “How” behind the startup way

Any corporate can develop it’s way of working towards startup way with three phases – critical mass, scaling up and deep systems.

In critical mass you get the leadership into the movement and spreading the word out companywide. In scaling up you have enough political capital to bypass any issues arising from the startup method. Last but not least this will lead into an organizational capability for continuous transformation.

Create a one-pager for the internal startup teams how to deploy MVPs:

–      A pre-approved MVP makes life easier. The pre-approved MVP formula goes like this – it is an experiment “with fewer than X customers possibly affected, total liability of Y and a cost of Z”.

–      If the experiment is a success and you want to scale it make sure that the experiment is “a) built on an initial MVP and b) you get managerial sign-off”.

–      “If you want build bigger and more complex – talk with legal and finance. Here is the hotline to call….”

Innovation Accounting

Innovation accounting is a tool to recognize “the early signs of success as worthy of further investment”. It is “a way of evaluating progress when all the metrics typically used in an established company are effectively zero.” The typical company metrics are revenue, customers, ROI, market share). Innovation accounting enables you to apples-to-apples comparison and gives you:

–      A framework.

–      A focusing device.

–      A common mathematical vocabulary.

–      A way to tyie long-term growth and R&D.

The Innovation Accounting has three levels:

1)   Dashboard

2)   Business Case

3)   Net Present Value

Dashboard is built around per-customer input. Aim of the dashboard is to help the team to see the customer as a flow and help them on focusing in customers. Learning metrics can be:

–      Conversion rates.

–      Revenue per user.

–      Lifetime value per customer.

–      Retention rate.

–      Cost per customer.

–      Referral rate.

–      Channel adoption.

Second Level

Second level is Business Case level will validate the leap-of-faith assumptions and business case. Sensible metrics are built around value and growth hypothesis.

–      Value metrics should be about repeat purchase, retention, willingness to pay premium or referral.

–      Growth metrics are based on the law of sustainable growth – word-of-mouth, paid engine of growth or viral engine of growth. Important is that it indicates a number that shows “it can grow sustainably”.

Net Present Value is the last level in innovation accounting. Here “the goal is to translate learning into dollars by rerunning the full business case after each new data point”.

Eric Ries even built a “Bingo Card” of the key questions to support the Innovation Accounting. That is worth checking out.

How should we change according to the book?

We avoid the economic stagnation:

1)   An epidemic of Short-termism is the rise of management through financial engineering instead of customer value creation.

2)   Lack of entrepreneurial opportunity is about massive reduction in opportunities for regular small business.

3)   A loss of leadership is about “preserving the results of past investments than investing in the future.”

4)   Low growth and instability.

What should I personally do?

Two things:

–      Face the challenges and being brutal honest about the facts.

–      “Plans are useless, but planning is indispensable” (Dwight D. Eisenhower).

Summary

The book in six words – “Hypergrowth for a company also requires hypergrowth of the people inside it”.

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Järvinen: Kyberuhkia ja somesotaa

Kirjasta

Petteri Järvinen uusi kirja – ”Kyberuhkia ja somesotaa”, on hengästyttävän kattava kuvaus digitalisaation myötä syntyneisiin vaaratilanteisiin. Tietosisältö, josta lukija pääsee oppimaan on kaikkea kodin kyberturvasta aina valtion huoltovarmuuteen. Siinä välissä toki käsitellään somesodat ja verkkovaikoilut.

Minkälainen kirja oli?

Olipa lukija sitten digitalisaation noviisi tai 90-luvun internetveteraani, niin jokaiselle on opittavaa sekä uusia näkökulmia. Itselleni mielenkiintoisinta sisältöä oli sodankäynnin digitalisointi. Opin Järviseltä, että kybersodat ovat suosittuja, koska niiden kustannukset ovat pienemmät kuin varsinaisen aseellisen konfliktin. Siksi Venäjä on ahkera informaatiovaikuttamisen käyttäjä, koska sen taloudelliset resurssit ovat olemattomat muihin suurvaltoihin verrattuna. Järvinen sai minut pohtimaan, että onko informaatiovaikuttaminen ja informaatiosota sodankäynnin digitalisoimista. Vai onko se digitoimista?

Mitkä ovat kirjan keskeiset ideat? 

Petteri Järvinen kirjoitti kirjansa, koska halusi nostaa esille kaksi teemaa – pelko ja kansalaisten vastuun. Pelkoa hän halusi käsitellä, koska uskoo sen määrittelevän melko pitkälti ihmisten tapaa ajatella tulevaisuutta. Kansalaisten vastuu limittyy pitkälti kansallisen turvallisuudesta huolehtimiseen.

Yksi keskeinen oppi on, että kaivataan asiallista uutisointia, koska se vaikuttaa ensisijaisesti miten ihmiset näkevät ja kokevat tulevaisuuden. Järvisen kirjan ehdotonta antia on case-kuvaukset. Hän on koonnut kirjaan mitä mielikuvitellullisempia keinoja mm. komentaa digivakoojia. Työkaluina voivat olla esim. Britney Spearsin Instagram-tilin kommenttikenttä tai morsettavat kovalevyt tai tietokoneiden mikrofonit sekä kaiuttimet. Tai esim. Dellin yrityskauppa, jolla se estettiin valumasta esim. Kiinan vaikutuksen piiriin.

Kirjan sisällöstä huolimatta kirjoittaja on säilyttänyt sävyn neutraalina, jopa uteliaan tunnelman. Teoriat kirjailija kiertää kaukaa, vaikka itse olisin mielelläni oppinut niistä myös. Ja onneksi kirjassa ei ajauduta pelottelemaan lukijaa. Järvinen juoksuttaa kirjan sivuilla satoja case-tyyppisiä kuvauksia aiheisiin liittyen. Ehkä paikotellen caset muuttuvat jo uuvuttavaksi knoppologiaksi.

Mitä meidän pitäisi tehdä kirjan perusteella?

Meidän pitäisi oppia tunnistamaan valeuutiset. Järvinen ehdottaa miten lukija voi tunnistaa valeuutisen:

–      Tekstissä viitattujen lähteiden arviointi.

–      Tekstin tuottaneen kirjoittajan validointi.

–      Julkaisulla tai medialla ei ole kirjoittajan sähköpostiosoitetta tai puhelinnumeroa tai katuosoitetta.

–      Oikaisuja ei julkaista.

–      Kuvien analysointi.

Mitä minun pitäisi itse tehdä? 

Lukea vain luotettaviksi tunnistettuja medioita.

Yhteenveto

Kirja kuudella sanalla – ”Turvallisuus on tunne ja tapa toimia”

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Moilanen, Niinioja, Honkanen & Seppanen: API-talous 101

Kirjasta

”101 is a topic for beginners in any area. It has all the basic principles and concepts that is expected in a particular field.” (Wikipedia)

Minkälainen kirja oli?

API-talouden historia alkaa kun Ebayllä oli ensimmäinen API vuonna 2000, jota seurasi Amazon sekä Google vuonna 2002.

Kirja alkaa hyvin kuvaamalla case K-Raudan ja sen liiketoimintamallin. Kaikki K-Raudan tuotteet kuljetuksineen on tehty asiakkaalle verkossa selattavaksi API:n avulla. MaaS ja Whim voisivat olla toinen kotimainen esimerkki. Monissa mobiilisovelluksissa hyödynnetään API:ja. API:en avulla voidaan siis tuottaa saumattomia asiakaskokemuksia. Näistä on kyse tässä kirjassa.

Mitkä ovat kirjan keskeiset ideat? 

Kirjasta

”101 is a topic for beginners in any area. It has all the basic principles and concepts that is expected in a particular field.” (Wikipedia)

Minkälainen kirja oli?

API-talouden historia alkaa kun Ebayllä oli ensimmäinen API vuonna 2000, jota seurasi Amazon sekä Google vuonna 2002.

Kirja alkaa hyvin kuvaamalla case K-Raudan ja sen liiketoimintamallin. Kaikki K-Raudan tuotteet kuljetuksineen on tehty asiakkaalle verkossa selattavaksi API:n avulla. MaaS ja Whim voisivat olla toinen kotimainen esimerkki. Monissa mobiilisovelluksissa hyödynnetään API:ja. API:en avulla voidaan siis tuottaa saumattomia asiakaskokemuksia. Näistä on kyse tässä kirjassa.

Mitkä ovat kirjan keskeiset ideat? 

API-taloudessä yhtiöt jakavat rajapintoja ja asiakkuuksia. Keskiössä ovat rajapinnat, eivät alustat. API-talous ilmenee alustojen ulkoreunoilla ja välillä. Alustatalousyhtiöt hallitsevat asiakkaita. API-talousyhtiöt keskittyvät sähköiseen kaupankäyntiin, mobiiliteknologiaan ja sosiaaliseen mediaan. PSD2:n myötä mukaan tulee myös finanssisektori.

Alustatalousyhtiö:

⁃ Tarjoaa asiakkailleen ulkopuolisia resursseja – Uber.

⁃ Luo säännöt ja hallinnoida sekä parantaa vuorovaikutusta – LinkedIn.

⁃ Tuottaa arvoa yhdistämällä asioita uusiksi – Finnair.

⁃ Hyödyntää niukasti käytettyjä resursseja – AirBnB.

⁃ Orkesteroi eniten arvo tuottavaa vuorovaikutusta – Ticknovate.

⁃ Kuluttajista on tullut tuottajia – Facebook.

Alustatalouden kehityssuunnat ovat:

⁃ Tiedon määrän ja käytön muutos, esim. AI.

⁃ Ympäristön lisääntyvä älykkyys.

⁃ Arvonluonnin ja arvon jakautumisen hajaantuminen.

⁃ Alustatalouden käyttäytymismallien hapuilu.

API-strategian toimenpiteet voisivat perustua kehittäjäkokemuksen johtamiseen, B2D-ohjelmaan (business to developper), käyttäjäyhteisön hackathon-tapahtumaan, kumppaniohjelmaan ja aktiiviseen markkinointiin. Aktiivinen markkinointi voi olla myös kehittäjäyhteisön omaa sisältömarkkinointia.

Liiketoiminnallisesti API on resurssi, jota myydään ja ostetaan. Monetisaatio on paljon monimutkaisempi. Esim. maksujenvälitysverkostossa yleinen tapa monetisoida on komissio tai freemium-malli. API-yhtiölle asiakas on yleensä B2D. Käytössäolevia liiketoimintamalleja voi olla yhteensä jopa noin 20 kappaletta.

Toinen tärkeä elementti API-taloudessa on kehittäjäkokemus, joka on verrannollinen asiakaskokemukseen sekä asiakaspolkuun. Co-creation on yleisesti käytetty toimintamalli kehittäjäverkostoissa. 

API-talous on Sinisen meren strategia, koska digitaaliset alustat ovat ”hallintajärjestelmiä, joilla kontrolloidaan, vuorovaikutetaan ja jalostetaan datan arvoa”. Esim. Finnairin MaaS-palvelu on Sinisen meren strategiaa.

API on tapa kommunikoida tai tapa parantaa tiedon laatua tai vähentää kustannuksia. Tai se voi olla vetovoimatekijä miksi joku yritys valikoituu kumppaniksi. Viimeisessä tapauksessa nousee esille mm. kehittäjäkokemus. Huomionarvoista on, että APIt muuttavat organisaatiota. Siksi se tarvitsee oman API-strategian sekä johtamista, ettei synny systeemitason virhettä.

API:t ovat tuotteita tai palveluita samalla tavalla kuin muutkin tuotteet ja se tarvitsee myös elinkaariajattelua. API pitää tuotteistaa esim. Lean Startupin oppien mukaan paperiprotosta MVP:n. API:t pitää palvelumuotoilla, käytettävyystestata ja auditoida (Plan, Do, Check, Act) kuten muutkin tuotteet.

API:n tuottama lisäarvo:

⁃ Vähentää monimutkaisuutta ja standardoi tehtävän toteutuksen

⁃ Tarjoaa paremman pääsyn tietoon avoimuudella

⁃ Mahdollisuus vaikuttaa sisältöjen kehitykseen

⁃ Alentaa riskiä, koska riippuvuus yhteen rajapintaan on pieni

⁃ Parantaa palvelun näkyvyyttä, innovaatiotoiminta ja havainnollistaa avoimen datapolitiikan hyödyt.

⁃ Kasvattaa liikevaihtoa, tuo kustannussäästöjä, asiakasuskollisuutta ja/tai innovaatioita.

Mitä meidän pitäisi tehdä kirjan perusteella?

Suomalaisilla yrityksillä eikä Suomen valtiolla ole ilmeistä strategiaa saavuttaa API-taloudessa markkinaosuutta. Amazonin Jezz Bezos on antanut mandaatin APIn pakollisuudesta. Kone Oyj:llä on API-strategia, koska sillä voidaan automatisoida mm. hissien huoltoa.

Mitä minun pitäisi itse tehdä? 

Asiakasodotukset ovat yleensä, että API on tehokas, luotettava ja helppokäyttöinen. Ja se noudattelee 3-30-3 -sääntöä. Asiakas ymmärtää 3 sekunnissa miksi API on olemassa, pääsee kokeilemaan APIa 30 sekunnissa ja 3 minuutin sisällä API löytyy omasta koodista. Ymmärränkö minä?

Yhteenveto

Kirja kuudella sanalla – ”Joko sinun kahvinkeittimessäsi on API?”

Alustatalousyhtiö:

⁃ Tarjoaa asiakkailleen ulkopuolisia resursseja – Uber.

⁃ Luo säännöt ja hallinnoida sekä parantaa vuorovaikutusta – LinkedIn.

⁃ Tuottaa arvoa yhdistämällä asioita uusiksi – Finnair.

⁃ Hyödyntää niukasti käytettyjä resursseja – AirBnB.

⁃ Orkesteroi eniten arvo tuottavaa vuorovaikutusta – Ticknovate.

⁃ Kuluttajista on tullut tuottajia – Facebook.

Alustatalouden kehityssuunnat ovat:

⁃ Tiedon määrän ja käytön muutos, esim. AI.

⁃ Ympäristön lisääntyvä älykkyys.

⁃ Arvonluonnin ja arvon jakautumisen hajaantuminen.

⁃ Alustatalouden käyttäytymismallien hapuilu.

API-strategian toimenpiteet voisivat perustua kehittäjäkokemuksen johtamiseen, B2D-ohjelmaan (business to developper), käyttäjäyhteisön hackathon-tapahtumaan, kumppaniohjelmaan ja aktiiviseen markkinointiin. Aktiivinen markkinointi voi olla myös kehittäjäyhteisön omaa sisältömarkkinointia.

Liiketoiminnallisesti API on resurssi, jota myydään ja ostetaan. Monetisaatio on paljon monimutkaisempi. Esim. maksujenvälitysverkostossa yleinen tapa monetisoida on komissio tai freemium-malli. API-yhtiölle asiakas on yleensä B2D. Käytössäolevia liiketoimintamalleja voi olla yhteensä jopa noin 20 kappaletta.

Toinen tärkeä elementti API-taloudessa on kehittäjäkokemus, joka on verrannollinen asiakaskokemukseen sekä asiakaspolkuun. Co-creation on yleisesti käytetty toimintamalli kehittäjäverkostoissa. 

API-talous on Sinisen meren strategia, koska digitaaliset alustat ovat ”hallintajärjestelmiä, joilla kontrolloidaan, vuorovaikutetaan ja jalostetaan datan arvoa”. Esim. Finnairin MaaS-palvelu on Sinisen meren strategiaa.

API on tapa kommunikoida tai tapa parantaa tiedon laatua tai vähentää kustannuksia. Tai se voi olla vetovoimatekijä miksi joku yritys valikoituu kumppaniksi. Viimeisessä tapauksessa nousee esille mm. kehittäjäkokemus. Huomionarvoista on, että APIt muuttavat organisaatiota. Siksi se tarvitsee oman API-strategian sekä johtamista, ettei synny systeemitason virhettä.

API:t ovat tuotteita tai palveluita samalla tavalla kuin muutkin tuotteet ja se tarvitsee myös elinkaariajattelua. API pitää tuotteistaa esim. Lean Startupin oppien mukaan paperiprotosta MVP:n. API:t pitää palvelumuotoilla, käytettävyystestata ja auditoida (Plan, Do, Check, Act) kuten muutkin tuotteet.

API:n tuottama lisäarvo:

⁃ Vähentää monimutkaisuutta ja standardoi tehtävän toteutuksen

⁃ Tarjoaa paremman pääsyn tietoon avoimuudella

⁃ Mahdollisuus vaikuttaa sisältöjen kehitykseen

⁃ Alentaa riskiä, koska riippuvuus yhteen rajapintaan on pieni

⁃ Parantaa palvelun näkyvyyttä, innovaatiotoiminta ja havainnollistaa avoimen datapolitiikan hyödyt.

⁃ Kasvattaa liikevaihtoa, tuo kustannussäästöjä, asiakasuskollisuutta ja/tai innovaatioita.

Mitä meidän pitäisi tehdä kirjan perusteella?

Suomalaisilla yrityksillä eikä Suomen valtiolla ole ilmeistä strategiaa saavuttaa API-taloudessa markkinaosuutta. Amazonin Jezz Bezos on antanut mandaatin APIn pakollisuudesta. Kone Oyj:llä on API-strategia, koska sillä voidaan automatisoida mm. hissien huoltoa.

Mitä minun pitäisi itse tehdä? 

Asiakasodotukset ovat yleensä, että API on tehokas, luotettava ja helppokäyttöinen. Ja se noudattelee 3-30-3 -sääntöä. Asiakas ymmärtää 3 sekunnissa miksi API on olemassa, pääsee kokeilemaan APIa 30 sekunnissa ja 3 minuutin sisällä API löytyy omasta koodista. Ymmärränkö minä?

Yhteenveto

Kirja kuudella sanalla – ”Joko sinun kahvinkeittimessäsi on API?”

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Parker, Van Alstyne, Choudary: Platform Revolution

How was the book?

How AirBnB got started? ”If you’re heading out to the ICSID/ IDSA World Congress/ Connecting ’07 event in San Francisco next week and have yet to make accommodations….” And then Chesky and Gebbia recruited a third friend, Nathan Blecharczyk, to help them make affordable room rentals a long-term business. Their first big hit at the 2008 South by Southwest festival in Austin.

– Uber was launched in San Francisco in March 2009. Today the valuation exceeds  $ 50 billion and is present in 200 global cities.

– China-based retailing giant Alibaba handles 80% of ecommerce in China, it has nearly a billion different products and is “the world’s biggest bazaar” without it’s own inventory.

– ”Facebook is arguably the world’s biggest media company—all without producing a single piece of original content”.

This book is a handbook of platform economy and the book should be part of every leaders curriculum.

What are the key learnings of the book? 

”Why network effects? The reason Instagram sold for $ 1 billion is not its thirteen employees; the reason WhatsApp sold for $ 19 billion wasn’t its fifty employees. The reasons were the same: the network effects both organizations had created.”

Network effect is a kind of:

– growth building strategy and

– new customer acquisition strategy.

Business model for a platform company is Network effect + Price effects + Brand effects = Market building tools.

”Price effects and brand effects have their place in a startup’s growth strategy. But only network effects create the virtuous cycle we described above, which leads to the building of a longlasting network of users—a phenomenon we called lock-in. Curious about what separated the successful companies from those that failed, we examined dozens of cases and found that the failures mostly relied on price or brand effects.”

Key learnings is that…

1) First the industries likely to target for the platform disruption are:

– Information-intensive industries (media/telecom)

– Industries with non-scalable gatekeepers (retail/publishing)

– Highly fragmented industries (Uber / AirBnB)

– Industries characterized by extreme information asymmetries (used cars/houses)

2) Second the industries that are not likely to be target of the platform disruption are:

– Industries with high regulatory control (banking/health care)

– Industries with high failure cost (where risk for the consumer to fail is high)

– Resource-intensive industries

3) Third key learning is that regulators must adjust and adapt their thinking from the pipe-line businesses to platform economy.

Developing the metrics for a platform company one must design those from the core interactions and benefits for producers and consumers? Measure what you are supposed to do. Not normal KPIs. Measure core interactions!

What is a platform?

”A platform is a business based on enabling value-creating interactions between external producers and consumers. The platform provides an open, participative infrastructure for these interactions and sets governance conditions for them. The platform’s overarching purpose: to consummate matches among users and facilitate the exchange of goods, services, or social currency, thereby enabling value creation for all participants.”

”A platform is fundamentally an infrastructure designed to facilitate interactions among producers and consumers of value. These two basic types of participants use the platform to connect with each other and to engage in exchanges—first, an exchange of information; then, if desired, an exchange of goods or services in return for some form of currency.”

”Strategy has moved from controlling unique internal resources and erecting competitive barriers to orchestrating external resources and engaging vibrant communities.”

”Positive network effects are the main source of value creation and competitive advantage in a platform business.”

In the case of Uber, two sides of the market are involved: riders attract drivers, and drivers attract riders. So Uber has created two-sided network effects.

Eight Ways to Launch a Successful Platform

1. The follow-the-rabbit strategy. Case Intel and challenge in demonstrating the value of wireless technology.

2. The piggyback strategy.  Case Paypal. PayPal used this strategy when it piggybacked on eBay’s online auction platform.

3. The seeding strategy. Case Android. When Google launched its Android smartphone operating system to compete with Apple’s, it seeded the market by offering $ 5 million in prizes to developers who came up with the best apps in each of ten categories, including gaming, productivity, social networking, and entertainment. Winners not only got the prize money but became market leaders in their categories, attracting large numbers of customers as a result.

Case Adobe. Adobe launched its now-ubiquitous PDF document-reading tool in part by arranging to make all federal government tax forms available online.

4. The marquee strategy. Provide incentives to attract members of a key user set onto your platform. Case Swiss Post and iPads.

5. The single-side strategy. Case OpenTable.

6. The producer evangelism strategy. Case Kickstarter.

7. The big-bang adoption strategy. Case Twitter/Tinder/Foursqaure.

8. The micromarket strategy. Case Facebook.

Capturing the Value Created by Network Effects:

1. CHARGING A TRANSACTION FEE. Case AirBnB

2. CHARGING FOR ACCESS. Case Dribble.

3. CHARGING FOR ENHANCED ACCESS. Case Yelp.

4. CHARGING FOR ENHANCED CURATION. Case Sittercity.

Defining What Platform Users and Partners Can and Cannot Do

There are three kinds of openness decisions that platform designers and managers need to grapple with. These are:

– Decisions regarding manager and sponsor participation. Case Visa.

– Decisions regarding developer participation. Case API’s and Amazon.

– Decisions regarding user participation. Case Wikipedia / ETSY.

Policies to Increase Value and Enhance Growth

Three fundamental rules of good governance:

1. Always create value for the consumers you serve;

2. Don’t use your power to change the rules in your favor

3. Don’t take more than a fair share of the wealth.

How Platform Managers Can Measure What Really Matters

Startup phase and core interaction: ”In the startup phase, it is critical to have simple measures to guide decision-making around key questions of platform design and launch, including the design of the core interaction; the development of effective tools to pull users, facilitate interactions, and match producers with consumers; the creation of effective systems of curation; and decisions about how open the platform should be to various kinds of participants. The startup phase must track the growth of their most important asset: active producers and consumers who are participating in a large volume of successful interactions.”

Monetization phase and conversion. ”Once the platform has reached critical mass and users are gaining significant value from the platform, the focus of metrics can shift to customer retention and the conversion of active users to paying customers. This is the phase in which monetization becomes a crucial issue.”

Innovation phase and innovation: ”Finally, as the platform matures and a self-sustaining business model has been developed, the challenge of user retention and growth requires the platform to innovate. This is the best way to maintain and enhance the business’s value proposition relative to competing platforms.”

Measure what matters:

1. Revenue. ”Platforms whose revenue is based on claiming a share of the value of any interaction—a commission fee based on a percentage of the interaction, for example—may choose to measure interaction capture.”

2. Content. ”Platforms that focus on content creation require different metrics. For example, some measure co-creation (the percentage of listings that are consumed by users) or consumer relevance (the percentage of listings that receive some minimum level of positive response from potential consumers). These metrics focus on interaction quality and reflect the skill with which production is being curated.”

3. Market access. ”Platforms focus on market access—the effectiveness with which users have been able to join the platform and find or connect with one another, regardless of whether a complete interaction has occurred.”

4. Producers. ”Some measure producer participation—that is, the rate at which producers join the platform and the growth of this rate over time. Dating and matrimonial sites often talk about number of women registered, since this metric serves as a useful proxy for the value that other users of the site can expect to receive. In a somewhat different fashion, OpenTable tracks restaurant reservations.”

Try to avoid:

”Overcomplex metrics make management less effective by introducing noise, discouraging frequent analysis, and distracting from the handful of data points that are most significant.”

“Vanity metrics,” such as total sign-ups—a relatively meaningless statistic that often increases even as the volume of interactions is flat or actually declining. Vanity metrics fail to indicate accurately whether the business is really achieving critical mass or the liquidity it needs.”

How should we change according to the book?

We should consider two things – unicorns and multipliers.

Why China and USA has the most unicorns? Because of the single market….. How to compete? What could EU do to enhance European platform companies?

Which of these companies you want to be? Deloitte published research that sorts companies into four broad categories based on their chief economic activity:

•                             Asset builders (Ford/Walmart),

•                             Service providers (Accenture),

•                             Technology creators (Microsoft),

•                             Network orchestrators (AirBnB).

A bonus is that platform businesses on average enjoy a market multiplier (based on the relationship between a firm’s market valuation and its price-to-earnings ratio) of 8.2. Technology creators multiplier is 4.8, 2.6 for service providers, and 2.0 for asset builders.

What should I personally do? 

Three things:

1) Design core interaction

2) Design the platform design

3) Curation

1) Participants + Value Unit + Filter → Core Interaction

Platforms are designed one interaction at a time. Thus, the design of every platform should start with the design of the core interaction that it enables between producers and consumers.

When designing a platform, your first and most important job is to decide what your core interaction will be, and then to define the participants, the value units, and the filters to make such core interactions possible.

The core interaction involves three key components:

•                             The participants,

•                             The value unit, and

•                             The filter.

2) Pull + Facilitate + Match → Platform Design

”The platform must pull the producers and consumers to the platform, which enables interactions among them. It must facilitate their interactions by providing them with tools and rules that make it easy for them to connect and that encourage valuable exchanges (while discouraging others). And it must match producers and consumers effectively by using information about each to connect them in ways they will find mutually rewarding.”

”Platform designers should always leave room for serendipitous discoveries, as users often lead the way to where the design should evolve.”

3) ”Quality through curation”

”These early days in the life of a platform can be difficult. However, over time, as the curation mechanism starts to work, the platform improves its ability to match consumers with relevant and high-quality content, goods, and services from producers.”

Summary

The book in six words – ”Measure core interactions! Not normal KPIs”.

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Stephens-Davidowitz: Everybody Lies

How was the book?

What a great book! Seth Stephens-Davidowitz really has a point and it is that social science is becoming real science with the help of data science and Big Data.

The book is almost hair-rising experience and an eye-opener, because Stephens-Davidowitz showcases with the help of data from Google and PornHub how Big Data turns aggregated data into action.

What are the key learnings of the book? 

We lie to people, we don’t tell the truth to surveys and in our Facebook or Instagram accounts we might show alternative facts, but for Google Search nobody lies.

The goal of the book is to provide missing evidence of what can be done with the Big Data and demystify data science. The book is built around three major topics or three powers of Big Data:

·      Data reimagined = Offering new types of data is the first power of Big Data.

·      The Digital Truth Serum = Providing honest data is the second power of Big Data.

·      Zooming in = Allowing us to zoom in on small subsets of people and allowing us to do many causal experiments.

In digital age we still hide our embarrassing thoughts, but not from internet and Google searches. Data science is about spotting patterns and making predictions. And for Big Data you don’t need tons of data – you need right data. Data size, by itself, is overrated. People lie to people, but not to Google Search and because people are honest you can get also narrow data! Due to these facts with data analysis from Big Data you are most probably searching for causality or correlation.  

Case New York Times. Stephens-Davidowitz brings up also the sentiment analysis and uses New York Times as an example. NYT has shared an insight that people typically share positive articles. So positive stuff gets viral. The old journalist adage says that ”if it bleeds, it leads”. The new adage could that ”if it smiles, it’s emailed”.

During his research Stephens-Davidowitz developed two cosepts – digital truth serum and lies:

·      Digital truth: searches, views, clicks, swipes

·      Digital lies: social media posts, social media likes, dating profiles

Internet does not generate a political bubble – IRL does. Internet generates more political desegregation than your everyday life. This happens in news sites as well in Facebook. Internet brings people with different views together. On social media sites we don’t have an incentive to tell the truth. We how our cultivated our political views for example in Facebook. With the help of digital truth serum the Internet helps us, because there we are not alone with our insecurities and embarrassing behavior. Internet also provides peer-support.

Some data points from the book:

·      Why people are smiling so much in Social Media? Because Kodak started to advertise that taking pictures is associated with having a good time.

·      A/B testing…. 80 % of all tests fail. Only 20% prove some issue.

·      Google searches related to crimes correlate with actual crimes. Murders of Muslims 1 to 10.000 ”kill Muslims” searches. Data could be used to predict certain behavior.

·      Only 7 % of people finish Kahnemans ”Thinking, fast and slow”.

How should we change according to the book?

Big Data truth: ”Never compare your Google Searches to everyone else’s social media posts.” Google Search:

·      Can alert us to people who are suffering.

·      It has the ability to lead us from problems to solutions.

What should I personally do? 

Imagine my own Big Data dream.

Summary

The book in six words – ”If it smiles, it’s emailed”.

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Hacker, Maker, Teacher, Thief

About the book

This time I read the book as an ordinary paper book. The book is a collection of articles or stories about aspects in creating vibrant marketing communications for the advertisers. It’s not a book from David Ogilvy, but it’s a great and inspirational book about current issues within creative industry.

How was the actual reading of the book?

The reading experience is good. And as a starting point I will recommend this book to everybody who are working or interested on adding value to his daily business. The book is divided into six parts addressing topics from advertising to future. The articles are written by 35 individuals from Creative Social Network. There are even Finns as authors.

The articles are standalone writings so that those can be easily ready without fearing missing a point if the reading is not consistent.

The main message of the book could be summarized into this sentence – ad people are facing competition from numerous disciplines, but they have a work around for every fight. But the solutions are not entirely new. And they will prevail due to new and old “tricks”.

The “tricks” could be summarized in words of Erkki Izzara – “Our job is to make people love stuff. The main tools are intuition and humor.” Or with the words of Daniele Fiandaca – “Creativity is thinking up new things. Innovation is doing new things”. Last but not least the words of Gareth Kay – “Great communication ideas acts as a bridge between what people are interested in and care about and what you make / sell”. Sounds just like Ogilvy?

Some critics about the book. Maybe some of the stuff are obvious and tied into current trends which will vanish over time. Great many of the authors are splendid in expressing their ideas. Could there have been more co-ordination about the contents of the articles? Anyways none of these critical notions will spoil the reading experience.

What are the key learnings of the book? 

Key learnings are:

Research, research, research.

  • Jake Attree and Laura Jordan Bambach have summarize their method of creativity in form of out-of-the-box-thinking.
  • They suggest that you do something out of ordinary. And then research. Like read a plethora of blogs you have no interest in. And then research. Haggle a car-boot sale. And then research. Hangout with old people you may never see again and then research again.
  • So find new stuff and then summarizing these findings into your database of your brains. And use these findings creatively.

Be a Hacker 

  • Don’t try act like advertising people. Be a Hacker. Be efficient. Break stuff positively. And simplify things like an outlaw.

Find a lateral solution to a linear problem.

  •  Now here is a key learning that cannot be operationalize easily.
  • How to find lateral solutions? Basically the book is filled with tips and tricks from appointing a chief officer of innovation to the executive board of the company. Ending up to an advice of using a Mont Blanc pen and a Moleskin pad for documenting your ideas. The reader can evaluate that which of these ideas would suit to your personal way of working.
  • Anyways the lateral solution for a linear problem is the magic what happens in the creative industry.

How should we change according to the book?

Brew creative results out of the hacking

What should I personally do?  

Get out of office and learn from other hackers.

Summary

Creative Social network has written great articles and these findings can be used in all industries. Especially I enjoyed that in includes thinking how the creative industry can re-invent itself. What are ways of working for truly creative people. How to lead teams of creative people. And how to develop your every day work for ideation.

The book in six words – Doing comes first, “drunk or sober”…

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The Battle for Uber

🔵 Mistä Uber on tehty? Teknoburleskista, viranomaisten huijaamisesta ja 25 miljoonan dollarin tuhlaviikkoista Las Vegasissa. Ja yhdestä maailman sofistikoituneimmasta alustatalouspalvelusta.

✅ Tästä kirjasta opit miten päihität kilpailijat reguloidulla markkinalla ja kuinka globaalit operaatiot päihittävät lokaalit.

✅ Alunperin liikeidea oli on-demand, app-palvelu mustille luksusautoille.

✅ Kasvukaava:
1. kasvukaava oli: Free iPhone + yield management for limos
2: Viraali/sissimarkkinointi + WoM
3: Insentiivi kuskeille + ilmaisia matkoja asiakkaille + sotakassa = synnyttää kysynnän flywheel (Uber solved that problem by straight-up buying the chicken)

✅ Ensimmäinen toimitusjohtaja rekrytoitiin tällä twiitillä: “Looking 4 entrepreneurial product mgr/biz-dev killer 4 a location based service. . pre-launch, BIG equity, big peeps involved–ANY TIPS??”

✅ Yrityskulttuuri rakentui 20+ -vuotiaista MBA-opiskelijoista. Arvot olivat: Superpumped, Hustlin ja Juggernaut. Epävirallinen motto oli: “Kill or be killed”. Visa käteen ja menox.

✅ Kirjan tärkein oppi oli, että koskaan ei ole liian myöhäistä olla paras. ”But in Silicon Valley, being first doesn’t matter – being the best does.”

✅ Jokaisessa startupissa pitää olla sotahuone.

⛔️ Never trust a venture capitalist.