Set up a cohort analysis for a new onboarding flow
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This tests your ability to design a clean experiment to measure product impact. A great answer defines control/treatment cohorts by acquisition date (before/after Jan 1st), picks a specific metric like W1 retention, and compares them.
This tests your ability to design a clean experiment to measure product impact. A great answer moves beyond definitions to practical setup. First, define acquisition cohorts: a control group (e.g., December signups) and a treatment group (January signups). Second, specify a key metric like Week 1 retention or Day 7 activation rate. Finally, compare the retention curves of the two cohorts over several weeks. The common mistake is failing to define a clear control group for comparison.
Read the original → appcues.com
- #analytics
- #metrics
- #product sense
- #a/b testing
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