pm-report

To generate a product growth report, provide core KPIs like DAU, MAU, and GMV. The system analyzes metrics including period-over-period changes and target achievement rates, then outputs a structured Markdown report into your designated docs directory.

Yes, you can create a weekly report with partial data. The metrics collection process supports branching for missing or incomplete data, allowing you to explicitly document which indicators are available and which are missing in the final Markdown output.

The best way to organize user feedback is by categorizing it based on source and type, then extracting high-frequency keywords. This process produces a structured summary that highlights key user issues for operational and iteration decisions.

Anomaly detection works automatically during data analysis. When evaluating conversion funnels and other metrics, the system identifies abnormal indicators, drafts preliminary cause analysis, and suggests whether deeper investigation is needed for the final report.

You can structure daily, weekly, monthly, and specialized reports for management decision-making. Each report type follows a specific cadence and scenario, such as team weekly meetings or monthly management reviews, ensuring decision-ready communication.

You output decision-ready Markdown reports by selecting a report type and providing the relevant metrics. The system then writes the structured conclusions, including analysis and optional feedback summaries, directly into the expected Markdown file paths in your docs directory.