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pm-beta-data-analysis

Analyze event tracking data to generate funnel and cohort retention reports.

2|Updated Mar 30, 2026
Search Tags:#reporting#data-analysis#retention#event-tracking#funnel-analysis#product-metrics
One-click install
npx skills add https://github.com/fengqiliu/PM-Skills --skill pm-beta-data-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pm-beta-data-analysis
Source: https://github.com/fengqiliu/PM-Skills/tree/main/skills/pm-beta-data-analysis
Command: npx skills add https://github.com/fengqiliu/PM-Skills --skill pm-beta-data-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about pm-beta-data-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze event tracking data to identify funnel conversion bottlenecks?▼

Funnel analysis of event tracking data involves defining core funnels, computing step and overall conversion rates, and locating major drop-off steps to surface root cause hypotheses for product improvements. This skill automates that diagnostic process.

What is the best way to compute N-day cohort retention and identify user drop-off drivers?▼

N-day cohort retention is computed by grouping users by acquisition date and tracking their return activity. This skill calculates cohort retention metrics, draws retention curves, compares behavior cohorts, and identifies 'aha' behaviors driving retention.

How do I validate event tracking data accuracy before generating product metrics reports?▼

Validating event tracking data accuracy requires checking event definitions, time windows, and cross-platform consistency. This skill provides data accuracy checks to ensure trustworthy metrics before computing DAU/MAU or generating funnel and cohort reports.

Can I use this to generate structured product metrics reports with prioritized recommendations?▼

Yes, you can generate structured product metrics reports with prioritized recommendations. The skill outputs structured report templates, anomaly triage checklists, and prioritized P0/P1 action recommendations for PMs and growth teams.

How do I measure A/B experiment impacts on user funnels and retention cohorts?▼

Measuring A/B experiment impacts requires analyzing event tracking data across experiment variants. This skill helps product managers validate event accuracy, compare funnel conversion rates, and assess retention differences between cohorts for growth optimization decisions.

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