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Flintmere
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funnel-analysis

Analyze Flintmere user funnel drop-offs and quantify conversion losses.

Updated Apr 18, 2026
Search Tags:#analytics#conversion#product#cohorts#experiments#funnel
One-click install
npx skills add https://github.com/Flintmere/flintmere --skill funnel-analysis-flintmere
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: funnel-analysis
Source: https://github.com/Flintmere/flintmere/tree/main/.claude/skills/funnel-analysis
Command: npx skills add https://github.com/Flintmere/flintmere --skill funnel-analysis-flintmere

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify and quantify where Flintmere users drop off in the homepage → scan → connect → risk surfacing → revoke → upgrade funnel, enabling data-driven improvement ideas.

Core Features & Use Cases

  • Per-session, per-user funnel analysis with cohort comparisons (new vs returning, mobile vs desktop) to surface leakiest steps and explainable causes.
  • Actionable hypothesis generation with testable experiments to validate potential improvements.
  • End-to-end workflow guidance for exporting funnel data, computing rates, and handing off to experiment design.

Quick Start

Pick a recent window, run a funnel analysis, and produce a prioritized brief of leakiest steps and recommended experiments.

Frequently Asked Questions about funnel-analysis

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

FAQPage Schema
How do I analyze user funnel drop-offs and quantify conversion losses?▼

Funnel analysis identifies where sessions drop off across stages like homepage views, scans, and wallet connections by exporting per-step counts and computing conversion rates to quantify step-wise losses. Cohort comparisons then explain the leakiest steps.

What's the best way to compare conversion cohorts between mobile and desktop users?▼

Comparing conversion cohorts involves grouping per-session funnel data by dimensions like mobile versus desktop, computing step-wise rates for each group over the same window, and identifying which cohort drives the highest drop-off at specific surfaces.

Can I generate testable experiments from product conversion data?▼

You can generate testable experiments by turning identified conversion drop-offs into actionable hypotheses. Once you compute step-wise rates and find the leakiest steps, you formulate targeted experiments to validate potential improvements.

How do I document funnel analysis results for experimentation tooling?▼

Document funnel analysis results by generating a prioritized brief of the leakiest steps and recommended experiments. This brief contains the computed conversion rates and testable hypotheses needed to hand off directly to experimentation tooling.

Does funnel analysis work for web3 wallet connection and risky-approval surfaces?▼

Funnel analysis works for web3 flows by tracking sessions across wallet connections and risky-approval surfaces. It quantifies conversion losses specifically at these stages and measures downstream progression toward revokes and upgrades.

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