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Cohort analysis checklist: before, during, and after the analysis

This checklist covers the full cohort analysis cycle. Use it for both initial setup and recurring monthly retention reviews.

Before the analysis

  • Define the cohort type: acquisition (by signup date) or behavioral (by action taken)
  • Choose the grouping period (daily, weekly, or monthly) based on user volume
  • Define the retention event: what specific action counts as “active”?
  • Document the retention event definition for future consistency
  • Set up the cohort report in the analytics tool with the correct time intervals
  • Decide which segments to compare: behavioral cohorts, acquisition channels, plan tiers

During the analysis

  • Read across rows: how does each cohort’s retention decay over time?
  • Read down columns: is the same time-point retention improving across newer cohorts?
  • Look for anomalous cohorts and correlate with product changes or external events
  • Compare behavioral cohorts (completed onboarding vs. skipped, activated feature vs. did not)
  • Compare acquisition channels for retention differences
  • Identify the steepest drop in the retention curve

After the analysis

  • Write findings using “What / So What / Now What” for each pattern
  • Quantify the business impact of improving retention at the steepest drop
  • Recommend product changes targeting the steepest drop and activation events
  • Set retention targets for the next quarter’s cohorts
  • Set up the cohort report as a recurring dashboard reviewed monthly
  • Flag incomplete cohort data points to avoid misleading comparisons