As the product manager responsible for Facebook’s newsfeed, your task is to increase the number of posts users see per day. To test this, the company conducted an A/B test with a randomized 1% sample of the population. Which metrics would be affected by this change, and what type of data should you anticipate as a result?
- Dan Coelho
CQ:
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What are we testing -> more posts from people and fewer ads
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Platform specific – web or app -> agnostic
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Any particular geography we are focussing on -> agnostic
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Any specific metric we are targeting to inc the no of posts -> lets say 5% in 1 month
Metrics for the A/B test:
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Avg session length for the control group vs test group
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Avg no of posts seen per session for the control group vs test group
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Measure reaction:
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Avg no of likes made in the test duration for the control group vs test group
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Avg no of comments made in the test duration for the control group vs test group
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Avg no of friends made in the test duration for the control group vs test group
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Guard Rail Metrics:
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Impact on retention: % churn rate for the control group vs test group
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Revenue per 1000 impressions for the control group vs test group

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