prod-trends

Weekly metrics analysis compares current community, GitHub, and financial data against a prior-week baseline to classify risks as healthy, attention, or elevated. It computes variances and assigns status levels using explicit thresholds to highlight growth signals and areas needing investigation.

To generate a week-over-week trends report, the system reads prior HTML reports and operational metrics, computes variances, and renders an HTML report, a Markdown summary, and a JSON snapshot. You simply request a trends analysis to compare current data against the previous week.

Automating weekly checkups involves comparing current Discord, GitHub, and financial metrics against prior-week references. The process assigns actionable risk classifications and outputs an HTML report, summarized Markdown, and JSON snapshot to your configured workspace paths.

Yes, when prior-week reference data is unavailable, current operational metrics are treated as a baseline. The analysis still evaluates community, GitHub, and financial data to establish initial variances and render the HTML, Markdown, and JSON trend snapshots.

Risk classification assigns healthy, attention, or risk statuses per metric using explicit thresholds, only escalating to red with evidence. It evaluates financial MRR, refunds, and GitHub activity variances to identify worsening patterns that require operational investigation.