weekly-metrics-brief

To generate a weekly metrics brief, run the workflow to read pre-aggregated exports under context/data-intelligence. It compares current period metrics to the prior period, flags anomalies, maps trends to in-flight experiments, and emits a concise 3-5 action brief.

Automated weekly performance briefings cover acquisition, activation, conversion, retention, revenue, reliability, and distribution metrics. The system synthesizes dispersed data exports into concise summaries highlighting trends and recommended actions.

Anomaly detection works by comparing current period metrics against prior period values to flag significant deviations. It then ties these anomalies to in-flight experiments and maps each finding to a specific owning skill for follow-up.

Yes, you can generate the weekly metrics brief on-demand or on a standard weekly cadence. It reads pre-aggregated exports from context/data-intelligence and outputs the final brief to context/data-intelligence/briefs regardless of trigger timing.

The best way to automate report generation is running the weekly-metrics-brief workflow on Mondays. It collates retention and revenue data exports, flags anomalies, maps results to in-flight experiments, and emits an actionable brief with specific follow-up handoffs.

No, you do not need to manually map anomalies to in-flight experiments. The brief generation automatically detects metric deviations from prior periods and correlates them with active experiments to identify root causes and assign follow-up actions.