## Scenario A dashboard shows **D14 retention** (users retained on day 14 after signup/first activity). In the last week, the chart shows a **sharp decline**. Assume retention is computed as a cohort metric: - Users are assigned to a cohort by **first activity date**. - D14 retention for a cohort is measured 14 days later. ## Task Explain how you would determine whether this decline reflects a real product issue or a **false alarm**. ### Requirements Include: - How metric “maturity” / delayed observation can create misleading recent-week dips. - What plots/tables you would inspect (cohort table, maturity curve, right-censoring). - Data quality checks and definition checks. - If it’s real, how you would localize the cause (segments, releases, funnel changes).