pm-beta-data-analysis

What problem does it solve?

The skill helps product teams interpret event tracking data to find conversion bottlenecks, diagnose retention drop-offs, and produce clear, prioritized recommendations for product and growth decisions.

Core Features & Use Cases

• Data accuracy checks: guidance to validate event definitions, time windows, and cross-platform consistency to ensure trustworthy metrics.
• Funnel analysis: define core funnels, compute step and overall conversion rates, locate major drop-off steps, and surface hypotheses for root causes.
• Retention analysis: compute N-day cohort retention, draw retention curves, compare channels and behavior cohorts, and identify "aha" behaviors.
• Report output & playbooks: structured report templates, anomaly triage checklists, and prioritized action recommendations for PMs and growth teams.
• Use case: analyze a new onboarding flow to measure step-by-step conversion, identify where users abandon, and propose P0/P1 improvements with verification checks.

Quick Start

Analyze the product event data from 2024-03-01 to 2024-03-07 and produce a funnel report, cohort retention metrics, core findings, and prioritized recommendations.