Scenario

A social shopping platform wants to increase the share of group posts that receive at least one comment.

Task

Design a rigorous analytics and experimentation plan to improve the "comment coverage" metric.

Definitions and Goal

• Primary metric: Comment coverage = number of posts that receive ≥1 comment within a defined time window (e.g., 48 hours) / number of posts created.
• Scope: Group posts only. Include organic comments; exclude spam/removed content.

Questions

1. What data would you examine first? Specify the initial checks, core datasets, and key descriptive cuts.
2. Provide a step-by-step diagnostic structure to identify why posts fail to receive comments.
3. Map the user-journey funnel leading to a first comment. Include both the viewer (commenter) and the author (post) perspectives.
4. Propose meaningful user and content segments to analyze.
5. Brainstorm at least 10 tactics to increase comment rate.
6. Rank those tactics by priority and justify your prioritization criteria.
7. Choose one tactic and design an A/B test to validate its impact (units, metrics, power, guardrails, duration, and analysis plan).
8. If an experiment shows increased impressions but no increase in comments, interpret the result and outline concrete next steps.