I have been a fan of both systematic experimentation and Prof.
Stefan Thomke for over a decade. Hence, it is not surprising that I enjoyed his
recent book “Experimentation
works: The surprising power of business experiments”. In this book, Thomke
makes some of the core concepts from his earlier book “Experimentation
matters” more accessible and brings out the increased scope and scale of
disciplined business experimentation in the digital era. I have several
takeaways from this book. However, for the sake of creating interest, let me
highlight three of them.
Bad vs good experiments: The book brings out characteristics of what
makes a good business experiment. When a CEO of a retail chain J.C. Penney
implements a bold plan of revamping the retail stores based on what worked in
his earlier stint at Apple, the company is demonstrating HiPPO, a bias for
Highest Paid Person’s Opinion. That is not even a bad experiment. When you
tinker with rewards to see if it increases productivity, it is an example of trial-and-error
or an uncontrolled or a bad experiment. Why? This is because you don’t know the
counterfactual. i.e. How do you know that productivity would have increased even
without the changed reward? Thomke dedicates a chapter “What makes a good
business experiment?” to explain this which I found useful. The attributes of a
good business experiment include falsifiability of the hypothesis, feasibility, and repeatability of the experiment among others.
Scale of online experimentation: With the advent of
online digital platforms, designing and running randomized control trials
became cheap, fast, and scalable. Thomke dedicates three chapters to present
various aspects of online, large scale experimentation. One chapter takes a
peek into his favorite experimentation organization - Booking.com which runs
more than one thousand concurrent tests on its website, servers and apps every
single day. When it is designing a “Book” button, it creates two versions one
with say, a yellow button, and the other with a blue button, and then it gets
tested live with millions of customers. The color that attracts the most
bookings gets used. David Vismans, chief product officer, says, “Our customers
decide where to take the website, not our managers.” With millions of page hits
every day, even a small one percent improvement in conversion can have a big
impact on the business. Booking.com is not alone, LinkedIn runs between five
hundred and one thousand experiments concurrently through the year. Goole,
Amazon, IBM, and even start-ups have been using this approach to
experimentation.
Ethical issues in business experimentation: What if
you are testing a differential pricing rather than different colors of the
button? Could it be unfair to the customers who pay more? While designing
experiments, has care been taken to see safety and emotional impact on
customers? In other words, experimenters carry ethical responsibility to test
new ideas for integrity before running randomized experiments. Hence, some of
the leading experimentation organizations are adding ethical guidelines and
case studies as part of their employee training. In one chapter, Thomke looks
at seven attributes of experimentation culture such as integrity.
One area which I wish the book covered more is – replication crisis.
As of today (June 2020), it is a decade long ongoing methodological crisis in
which it has been found that many scientific studies are difficult or
impossible to replicate. It mainly affects social sciences and medicine. Since
business experimentation is akin to social science experimentation, I feel it is
relevant here.
In the epilogue, Thomke imagines future directions of
business experimentation. With the advent of Artificial Intelligence (AI), could
design, execution and analysis of experiments be automated – outsourced to experiment-bots
like chat-bots? What if the business decisions themselves are taken
automatically without human intervention? Thomke feels, based on the current
research, that some of the required ingredients for this to work exist already
today.
The book gives a number of pointers for further study which I find very helpful. I strongly recommend this book to managers who care about innovation and experimentation.
image source: amazon.com
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