Designed for executives looking to make their organizations

Data Driven

Product Leaders

Program managers and product managers that are focused on metrics like growth and revenue, and prioritization decisions

Data Science Managers and Data Scientists

Analysts who help map strategic decisions to actionable experimental designs and then interpret the results in a trustworthy manner

The motivation and basics of A/B testing (e.g., causality, surprising examples, metrics, interpreting results, trust and pitfalls, Twyman’s law, A/A tests)
Cultural challenges, humbling results (e.g., failing often, pivoting, iterating), experimentation platform, institutional memory and meta-analysis, ethics
Hierarchy of evidence, Expected Value of Information (EVI), complementary techniques, risks in observational causal studies

Engineering Leaders

Engineering managers, directors, VPs, and CTOs who want to make their organizations data-driven with metrics and A/B tests

Safe deployments
Triggering, especially in evaluating machine learning models
The benefits of agile product development

Meet your

Instructor Dr. Ronny Kohavi

Ronny Kohavi

Few people have accumulated as much experience as Ronny Kohavi when it comes to experimentation. His work at tech giants such as Amazon, Microsoft and Airbnb — just to name a few — has laid the foundation of modern online experimentation. He is a pioneer and leader of the data mining and machine learning community and wants to share his learnings with you.

Over the last 20 years, Ronny has served in numerous roles at Airbnb, Microsoft, Amazon, Blue Martini Software, and Silicon Graphics.

Ronny’s papers have over 53,000 citations.  He co-authored the book Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing (with Diane Tang and Ya Xu) which is in the top-10 data mining books on Amazon.  He is the most viewed writer on Quora’s A/B testing and he received the Individual Lifetime Achievement Award for Experimentation Culture in September 2020.

Ronny also holds a PhD in Machine Learning from Stanford University where he led the MLC++ project, the Machine Learning library in C++ used at Silicon Graphics and at Blue Martini Software

Join a diverse and experienced alumni community from

Leading Companies

About Ronny's

Live Cohort

A/B tests, also called online controlled experiments, are used heavily at companies like Airbnb, Amazon, Booking.com, eBay, Facebook, Google, LinkedIn, Lyft, Microsoft, Netflix, Twitter, Uber, Yahoo!/ Oath, and Yandex. These companies run thousands to tens of thousands of experiments every year, sometimes involving millions of users and testing everything, including changes to the user interface (UI), relevance algorithms (search, ads, personalization, recommendations, and so on), latency/ performance, content management systems, customer support systems, and more. Experiments are run on multiple digital channels: websites, desktop applications, mobile applications, and e-mail.

The theory of controlled experiments dates back to Sir Ronald A. Fisher in the 1920s, but running experiments at scale is not simply a theoretical challenge, but mostly a cultural challenge.  To paraphrase Helmuth von Moltke, ideas rarely survive contact with customers.  Objective evaluations of ideas in A/B tests show that most ideas are weaker than expected.  Organizations must change incentives and be great at failing fast and pivoting in the face of data.  We will look at real examples of cultural changes.

Setting a strategy with integrity implies tying it to an Overall Evaluation Criterion (OEC).  We will discuss good characteristics of metrics, and in particular focus on the OEC.

A/B tests are commonly associated with evaluating new ideas over a week or two, but when implemented with near-real-time metrics, they provide a safety net for safe deployments, able to detect and abort deployments.  We will discuss feature flags and why controlled experiments are so good at helping avoid severe outages.

Introduction

Session 1 - May 31
8am PST / 4pm GMT

Introduction to controlled experiments, or A/B testing

Interesting experiments – you’re the decision maker

Organizational tenets

Advantages and limitations of controlled experiments

Metrics, the OEC, Interpreting Results and Trust

Session 2 - June 2
8am PST / 4pm GMT

End-to-end example: Running and Analyzing an Experiment

Metrics and the OEC (large section with break)

P-values and statistical power (short)

Ideation funnel, Machine Learning, Culture and Ethics

Session 3 - June 6
8am PST / 4pm GMT

Interesting examples

Experiment example: speed matters

Twyman’s Law and Trustworthy Experimentation

Cultural challenge, Institutional memory, maturity model, prioritization/EVI, ethics

Leakage & Interference, Complementary Techniques and Observational Causal Studies

Session 4 - June 7
8am PST / 4pm GMT

AI/Machine Learning model, and triggering

Observational causal studies

Pitfalls in observational studies

Leakage and interference

Maturity Model, Experimentation Platform and Build vs Buy

Session 5 - June 9
8am PST / 4pm GMT

Build vs. Buy

Three A/B vendor presentations with Q&A

Experimentation Platform

Challenges

Requested Topics

Still have questions?

We’re here to help!

Do I have to attend all of the sessions live in real-time?

You don’t! We record every live session in the cohort and make each recording and the session slides available on our portal for you to access anytime.

Will I receive a certificate upon completion?

Each learner receives a certificate of completion, which is sent to you upon completion of the cohort (along with access to our Alumni portal!). Additionally, ScholarSite is listed as a school on LinkedIn so you can display your certificate in the Education section of your profile.!

Is there homework?

Throughout the cohort, there may be take-home questions that pertain to subsequent sessions. These are optional, but allow you to engage more with the instructor and other cohort members!

Can I get the course fee reimbursed by my company?

While we cannot guarantee that your company will cover the cost of the cohort, we are accredited by the Continuing Professional Development (CPD) Standards Office, meaning many of our learners are able to expense the course via their company or team’s L&D budget. We even provide an email template you can use to request approval.

I have more questions, how can I get in touch?

Please reach out to us via our Contact Form with any questions. We’re here to help!

Book a time to talk with the ScholarSite team

JOIN US

Be part of the future of online learning

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.