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A/B Testing with Yammer’s Product
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Anna Marie Clifton
Tonight’s Speaker
Anna Marie Clifton
Product Manager at Yammer
Co-host of Clearly Product Podcast
All the ways that
A/B testing sucks
The Usual Story
Anna Marie Clifton
Product Manager, Yammer
● @TweetAnnaMarie
○ Medium & Twitter
● Clearly Product
○ iTunes & Stitcher
Anna Marie Clifton
Product Manager, Yammer
1. The rosy side of A/B testing
Our roadmap
1. The rosy side of A/B testing
2. The grey side of A/B testing
Our roadmap
Our roadmap
1. The rosy side of A/B testing
2. The grey side of A/B testing
3. Somewhere in the middle
Our roadmap
1. The rosy side of A/B testing
2. The grey side of A/B testing
3. Somewhere in the middle
What is it?
1. The rosy side of A/B testing
New Signup — sequence test
1. The rosy side of A/B testing
● 80% of users complete the sign up
New Signup — sequence test
1. The rosy side of A/B testing
● 80% of users complete the sign up
● Release a new flow to all your users
New Signup — sequence test
1. The rosy side of A/B testing
● 80% of users complete the sign up
● Release a new flow to all your users
● Measure again
New Signup — sequence test
1. The rosy side of A/B testing
● 80% of users complete the sign up
● Release a new flow to all your users
● Measure again
● Now only 70% of users complete.
New Signup — sequence test
1. The rosy side of A/B testing
● 80% of users complete the sign up
● Release a new flow to all your users
● Measure again
● Now only 70% of users complete.
New Signup — sequence test
1. The rosy side of A/B testing
New Signup — A/B test
1. The rosy side of A/B testing
● 80% of users complete the sign up
New Signup — A/B test
1. The rosy side of A/B testing
● 80% of users complete the sign up
● Release a new flow to 50% of your users — “Treatment”
New Signup — A/B test
1. The rosy side of A/B testing
● 80% of users complete the sign up
● Release a new flow to 50% of your users — “Treatment”
● 70% of users in the treatment complete
New Signup — A/B test
1. The rosy side of A/B testing
● 80% of users complete the sign up
● Release a new flow to 50% of your users — “Treatment”
● 70% of users in the treatment complete
● Meanwhile, only 60% of control users completed
New Signup — A/B test
1. The rosy side of A/B testing
● 80% of users complete the sign up
● Release a new flow to 50% of your users — “Treatment”
● 70% of users in the treatment complete
● Meanwhile, only 60% of control users completed
New Signup — A/B test
1. The rosy side of A/B testing
Our roadmap
1. The rosy side of A/B testing
2. The grey side of A/B testing
3. Somewhere in the middle
Engineering
2. The grey side of A/B testing
Engineering issues:
2. The grey side of A/B testing
1. Takes longer to build
Engineering issues:
2. The grey side of A/B testing
1. Takes longer to build
2. Can’t make changes in flight
Engineering issues:
2. The grey side of A/B testing
Engineering issues:
2. The grey side of A/B testing
1. Takes longer to build
2. Can’t make changes in flight
3. Confusion about expected experience
Engineering issues:
2. The grey side of A/B testing
1. Takes longer to build
2. Can’t make changes in flight
3. Confusion about expected experience
4. Code cleanup isn’t always perfect
Product
2. The grey side of A/B testing
Product issues:
2. The grey side of A/B testing
1. It can take Forever™
Product issues:
2. The grey side of A/B testing
1. It can take Forever™
2. Need tons of users
Product issues:
2. The grey side of A/B testing
1. It can take Forever™
2. Need tons of users
3. Lots of up front work
Product issues:
2. The grey side of A/B testing
1. It can take Forever™
2. Need tons of users
3. Lots of up front work
4. Lots of after-the-fact work
Product issues:
2. The grey side of A/B testing
1. It can take Forever™
2. Need tons of users
3. Lots of up front work
4. Lots of after-the-fact work
5. Geared toward small optimizations
Product issues:
2. The grey side of A/B testing
1. It can take Forever™
2. Need tons of users
3. Lots of up front work
4. Lots of after-the-fact work
5. Geared toward small optimizations
6. Only useful in single-player mode
Product issues:
2. The grey side of A/B testing
1. It can take Forever™
2. Need tons of users
3. Lots of up front work
4. Lots of after-the-fact work
5. Geared toward small optimizations
6. Only useful in single-player mode
7. Can’t be scientific
Product issues:
2. The grey side of A/B testing
1. It can take Forever™
2. Need tons of users
3. Lots of up front work
4. Lots of after-the-fact work
5. Geared toward small optimizations
6. Only useful in single-player mode
7. Can’t be scientific
Product issues:
2. The grey side of A/B testing
Our roadmap
1. The rosy side of A/B testing
2. The grey side of A/B testing
3. Somewhere in the middle
Totally sucks
3. Somewhere in the middle
Still worth it
3. Somewhere in the middle
Questions?
@TweetAnnaMarie
Part-time Product Management Courses
in San Francisco
www.productschool.com

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A/B Testing with Yammer's Product Manager

  • 1. A/B Testing with Yammer’s Product Manager www.productschool.com
  • 2. FREE INVITE Join 10,000+ Product Managers on productschool.com/slack-community
  • 6. Include @productschool and #prodmgmt at the end of your tweet Tweet to get a free ticket for our next Event!
  • 8. Anna Marie Clifton Product Manager at Yammer Co-host of Clearly Product Podcast All the ways that A/B testing sucks
  • 10. Anna Marie Clifton Product Manager, Yammer
  • 11. ● @TweetAnnaMarie ○ Medium & Twitter ● Clearly Product ○ iTunes & Stitcher Anna Marie Clifton Product Manager, Yammer
  • 12. 1. The rosy side of A/B testing Our roadmap
  • 13. 1. The rosy side of A/B testing 2. The grey side of A/B testing Our roadmap
  • 14. Our roadmap 1. The rosy side of A/B testing 2. The grey side of A/B testing 3. Somewhere in the middle
  • 15. Our roadmap 1. The rosy side of A/B testing 2. The grey side of A/B testing 3. Somewhere in the middle
  • 16. What is it? 1. The rosy side of A/B testing
  • 17. New Signup — sequence test 1. The rosy side of A/B testing
  • 18. ● 80% of users complete the sign up New Signup — sequence test 1. The rosy side of A/B testing
  • 19. ● 80% of users complete the sign up ● Release a new flow to all your users New Signup — sequence test 1. The rosy side of A/B testing
  • 20. ● 80% of users complete the sign up ● Release a new flow to all your users ● Measure again New Signup — sequence test 1. The rosy side of A/B testing
  • 21. ● 80% of users complete the sign up ● Release a new flow to all your users ● Measure again ● Now only 70% of users complete. New Signup — sequence test 1. The rosy side of A/B testing
  • 22. ● 80% of users complete the sign up ● Release a new flow to all your users ● Measure again ● Now only 70% of users complete. New Signup — sequence test 1. The rosy side of A/B testing
  • 23. New Signup — A/B test 1. The rosy side of A/B testing
  • 24. ● 80% of users complete the sign up New Signup — A/B test 1. The rosy side of A/B testing
  • 25. ● 80% of users complete the sign up ● Release a new flow to 50% of your users — “Treatment” New Signup — A/B test 1. The rosy side of A/B testing
  • 26. ● 80% of users complete the sign up ● Release a new flow to 50% of your users — “Treatment” ● 70% of users in the treatment complete New Signup — A/B test 1. The rosy side of A/B testing
  • 27. ● 80% of users complete the sign up ● Release a new flow to 50% of your users — “Treatment” ● 70% of users in the treatment complete ● Meanwhile, only 60% of control users completed New Signup — A/B test 1. The rosy side of A/B testing
  • 28. ● 80% of users complete the sign up ● Release a new flow to 50% of your users — “Treatment” ● 70% of users in the treatment complete ● Meanwhile, only 60% of control users completed New Signup — A/B test 1. The rosy side of A/B testing
  • 29. Our roadmap 1. The rosy side of A/B testing 2. The grey side of A/B testing 3. Somewhere in the middle
  • 30. Engineering 2. The grey side of A/B testing
  • 31. Engineering issues: 2. The grey side of A/B testing
  • 32. 1. Takes longer to build Engineering issues: 2. The grey side of A/B testing
  • 33. 1. Takes longer to build 2. Can’t make changes in flight Engineering issues: 2. The grey side of A/B testing
  • 34. Engineering issues: 2. The grey side of A/B testing 1. Takes longer to build 2. Can’t make changes in flight 3. Confusion about expected experience
  • 35. Engineering issues: 2. The grey side of A/B testing 1. Takes longer to build 2. Can’t make changes in flight 3. Confusion about expected experience 4. Code cleanup isn’t always perfect
  • 36. Product 2. The grey side of A/B testing
  • 37. Product issues: 2. The grey side of A/B testing
  • 38. 1. It can take Forever™ Product issues: 2. The grey side of A/B testing
  • 39. 1. It can take Forever™ 2. Need tons of users Product issues: 2. The grey side of A/B testing
  • 40. 1. It can take Forever™ 2. Need tons of users 3. Lots of up front work Product issues: 2. The grey side of A/B testing
  • 41. 1. It can take Forever™ 2. Need tons of users 3. Lots of up front work 4. Lots of after-the-fact work Product issues: 2. The grey side of A/B testing
  • 42. 1. It can take Forever™ 2. Need tons of users 3. Lots of up front work 4. Lots of after-the-fact work 5. Geared toward small optimizations Product issues: 2. The grey side of A/B testing
  • 43. 1. It can take Forever™ 2. Need tons of users 3. Lots of up front work 4. Lots of after-the-fact work 5. Geared toward small optimizations 6. Only useful in single-player mode Product issues: 2. The grey side of A/B testing
  • 44. 1. It can take Forever™ 2. Need tons of users 3. Lots of up front work 4. Lots of after-the-fact work 5. Geared toward small optimizations 6. Only useful in single-player mode 7. Can’t be scientific Product issues: 2. The grey side of A/B testing
  • 45. 1. It can take Forever™ 2. Need tons of users 3. Lots of up front work 4. Lots of after-the-fact work 5. Geared toward small optimizations 6. Only useful in single-player mode 7. Can’t be scientific Product issues: 2. The grey side of A/B testing
  • 46. Our roadmap 1. The rosy side of A/B testing 2. The grey side of A/B testing 3. Somewhere in the middle
  • 47. Totally sucks 3. Somewhere in the middle
  • 48. Still worth it 3. Somewhere in the middle
  • 50. Part-time Product Management Courses in San Francisco www.productschool.com

Hinweis der Redaktion

  1. In most talks, people present a nicely packaged presentation on some topic or other. The narrative is nice and clean, and at the end, you’ll understand the exact ideal way of doing something. They may start with “Here’s an anecdote from when we were doing this poorly.” Or might even share some hiccups along the way. But, in the end, they never leave the audience with any ambiguity. Any grey zone. I think this does everyone a disservice, especially an audience of product managers. Most of our job is pushing back the boundaries of ambiguity. Finding that line beyond which things don’t make sense, and organizing information at the fringes into coherent narratives so there’s a bigger space of “knowns” than you had before. Now, of course we can’t really be sure of the things that we “know”… Say 5 out of 5 people we user tested this experience with couldn’t find the entry point for creating new groups. Does that mean it’s too hard to find? … Probably. Almost certainly. But there’s always room for doubt. The problem is, if you focus on that sliver of doubt, you’ll never build anything because you’ll spend all your time trying to squash that doubt into a smaller and smaller pieces while your competitors are building product based on hunches and best guesses and totally obliterating your company and income. So it’s your job as a PM to absorb as much of that ambiguity as possible, to shield your team from it so they have a clear path forward. To that end, let’s put on our rose-colored glasses and take a journey through the world of A/B testing. After that, we’ll take those glasses off and look at some of the less pleasant realities.
  2. A/B, also called split testing, is essentially a statistically valid way to see how good (or bad) your feature idea is. The core principle is you release two versions of your feature to a random set of users, then you measure what those users do relative to each other. It’s important to note that these two groups have to have these alternate versions of the feature at the same time. It’s tempting to take a feature (say, a sign up flow) that has some set metrics (like sign up completion rate) that you want to move. To build a new flow and then release that to 100% of your users and measure the new completion rate. That’s called sequential testing— Here’s why that’s not A/B testing and not statistically valid:
  3. Say you had a completion rate of 80% in the old design and in the new experience you see that 70% of users are completing the flow. Womp womp. Looks like a loser of an idea. You lost 10% of your potential signups.
  4. But maybe you didn’t. Maybe it was a holiday in France, or it rained in Ohio, or a competitor launched something great. There are so many external factors to consider, you can’t rely on tests in sequence.
  5. This is the beauty of A/B testing. You can *know* how good your feature is. It’s like ______ {analogy}, and wow does it feel good. After sorting through opposing opinions from two designers on your team, and trying to navigate tradeoffs between technical debt and velocity, and a thousand other things each week that have no “right” answer, having something definitive in hand feels like magic.
  6. Retention Throw out early data Stats on how many users you need
  7. Android project with 31k users How many users do you need? What you measure, base rate, what lift to detect, and risk tolerance
  8. Log events Data can’t tell you Why It’s the reason we get paid a lot
  9. Based on questions you ask Driving toward limits