Funnel Analysis

Overview

Funnel Analysis runs when conversion is low and the team needs to know where users drop off, a product change may have hit a specific step, or an A/B test needs a real baseline before setting a target effect size.

What it covers

• Defines the ordered funnel steps and the time window a user has to complete them, since ambiguous definitions invalidate the whole analysis.
• Builds a user-level funnel dataset from the events log and calculates step-to-step and overall conversion.
• Analyzes time-to-convert between steps (median, P75, P95) to catch friction that doesn't show up as drop-off.
• Segments the funnel by channel, device, or cohort and ranks segments by conversion.
• Ranks drop-off points by users lost times estimated revenue impact, and produces the funnel report with recommendations.

Part of Data Analytics Skills

This is one of 31 skills in the Data Analytics Skills library, in the Data Analysis & Investigation group.

Installation

1. Clone the repo once: git clone https://github.com/nimrodfisher/data-analytics-skills.git
2. Copy just this skill: cp -r data-analytics-skills/03-data-analysis-investigation/funnel-analysis ~/.claude/skills/ (or ~/.agents/skills/ for Codex)
3. Ask your agent something like "where are we losing the most users in our signup funnel" and it activates on its own.

See the Data Analytics Skills entry for the full library.