Evaluate funnel stability for [CompanyName] during [Timeframe] by creating weekly cohorts and tracking stage conversion from entry to purchase/activation. Use control limits to detect anomalies at each stage and attribute to releases, campaigns, or outages noted in [ChangeLog]. Recommend mitigations and tests where instability persists.
Output format:
• Cohort table (Week | Entrants | Stage CRs | Overall CVR | Δ vs. [BaselinePeriod]).
• Anomalies list (Stage, Week, Deviation, Likely Cause).
• Root-cause narratives with supporting metrics/screens.
• Stabilisation plan (instrumentation, guardrails, test cadence, owner [RoleOwner]).
Quantify revenue impact of each anomaly and recovery timeline.