activation-analysis

Diagnose user activation funnels using the Setup, Aha, Habit framework.

1|Updated Jul 25, 2026
One-click install
npx skills add https://github.com/zacgoodwin/AIBootstrap --skill activation-analysis-zacgoodwin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: activation-analysis
Source: https://github.com/zacgoodwin/AIBootstrap/tree/main/.claude/skills/activation-analysis
Command: npx skills add https://github.com/zacgoodwin/AIBootstrap --skill activation-analysis-zacgoodwin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? New users sign up but never reach the value your product offers, and it is unclear where they drop off. This Skill structures the diagnosis of onboarding and activation problems by breaking the funnel into three measurable stages and pinpointing the biggest bottleneck. ## Core Features & Use Cases - Three-Stage Funnel Diagnosis: Defines and measures Setup, Aha, and Habit stages with rates, benchmarks, and time-to-value tracking. - Context-Aware Analysis: Pulls existing metrics, user research, meeting notes, and PRDs from a context library before recommending fixes. - Prioritized Recommendations: Identifies the largest drop-off stage and produces a structured analysis report saved to outputs/analyses/. - Use Case: A product manager notices only 18% of signups become active users. Running this Skill reveals the Aha stage is the bottleneck (users never experience core value), and generates a prioritized fix list with expected impact per change. ## Quick Start Ask the assistant to run an activation analysis for your product, providing your onboarding flow and any metrics you have on setup completion and D7 retention.

Frequently Asked Questions about activation-analysis

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

FAQPage Schema
How do I measure user activation for my product?

Measure activation by calculating three stage rates: Setup completion, Aha completion, and Habit formation, then multiply them for overall activation. This Skill walks you through defining each stage with specific actions and computing the rates from your signup data.

How to find the Aha moment for a product?

Find the Aha moment by comparing retained users against churned users and identifying the action retained users all performed early. The Skill emphasizes data-driven definitions rather than guessing what should be valuable.

What is a good activation rate benchmark for SaaS?

The Skill's benchmarks suggest 70%+ setup completion, 50%+ setup-to-Aha, 30%+ Aha-to-Habit, and 15%+ overall activation. Time to Aha should ideally be under 10 minutes, with D7 retention above 40%.

Can I use activation analysis without analytics data?

Yes, but it takes longer. Without existing metrics the Skill helps you define the three stages from scratch using diagnostic questions, though it works best when you can provide setup completion rates and D7 retention figures.

Why do users drop off during onboarding?

Drop-offs stem from different causes per stage: setup friction or too many required fields, an unclear path to the Aha moment, or missing triggers for habit formation. The Skill diagnoses which stage is your bottleneck and matches fixes to that stage.