pm-funnel

Analyze user conversion funnels to identify drop-off steps and quantify conversion rates.

46|8|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/konglong87/superPM --skill pm-funnel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pm-funnel
Source: https://github.com/konglong87/superPM/tree/main/skills/05-product-strategy/pm-funnel
Command: npx skills add https://github.com/konglong87/superPM --skill pm-funnel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you analyze a user conversion funnel end-to-end by pinpointing the biggest drop-off steps and turning the findings into actionable optimization recommendations to improve conversion rate.

Core Features & Use Cases

  • Funnel diagnosis: define the funnel steps for a chosen business scenario (registration, purchase, activation, or retention) and compute step conversion and drop-off rates.
  • Root-cause exploration: identify critical loss nodes and gather likely causes with evidence requirements, including user feedback and research data needs.
  • Optimization planning: generate prioritized improvements and outline A/B test designs to validate impact, then produce a structured funnel analysis report written to docs.

Quick Start

Ask the assistant to run pm-funnel for the purchase funnel, then provide your step-by-step user counts and any known reasons for drop-offs so it outputs a funnel analysis and optimization plan.

Frequently Asked Questions about pm-funnel

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

FAQPage Schema
How do I analyze a user conversion funnel to find the highest drop-off steps?

Funnel analysis quantifies step conversion and drop-off rates to pinpoint the highest drop-off steps in your user journey. By providing step-by-step user counts for scenarios like purchase or registration, you can identify critical loss nodes and generate a structured diagnostic report.

What's the best way to diagnose root causes of funnel drop-offs in product growth?

Diagnosing funnel drop-offs requires gathering root-cause hypotheses with supporting evidence like user feedback and research data. You must provide known reasons for user loss at critical nodes so the analysis can validate assumptions and prioritize improvements for product growth.

How do I plan A/B tests to improve conversion rate after funnel analysis?

A/B test planning follows funnel diagnosis by generating prioritized improvements and outlining test designs to validate impact. This produces a structured funnel analysis report that turns drop-off findings into actionable optimization recommendations for conversion rate gains.

What data do I need to provide for a user journey funnel analysis?

User journey funnel analysis requires you to provide step-by-step user counts for your chosen business scenario and any known reasons for drop-offs. This evidence supports root-cause hypotheses and enables the system to compute accurate step conversion and loss rates through stepwise interaction.

Can I use funnel analysis for both user activation and retention scenarios?

Funnel analysis applies to product growth scenarios including user activation, retention, purchase, and registration. It defines funnel steps, collects data, and computes drop-off rates across any of these user journey stages to identify optimization opportunities.