improve-retention

Diagnose retention problems using Fogg's B=MAP behavior model.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/tayiorbeii/paperclip-factory-kit --skill improve-retention-tayiorbeii
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve-retention
Source: https://github.com/tayiorbeii/paperclip-factory-kit/tree/main/skills/improve-retention
Command: npx skills add https://github.com/tayiorbeii/paperclip-factory-kit --skill improve-retention-tayiorbeii

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It helps you diagnose why users churn or fail to activate by identifying which parts of the behavior-change system (motivation, ability, and the right prompt) are causing the drop-off, then prescribing improvements that make retention more reliable.

Core Features & Use Cases

  • B=MAP retention diagnostics: Map retention failures (activation, day-1/day-7/day-30 drop-offs) to mismatches in Motivation, Ability, and Prompt timing.
  • Ability Chain friction fixes: Pinpoint the weakest bottleneck across time, money, physical effort, mental effort, social deviance, and non-routine, then remove friction to move users above the Action Line.
  • Prompt timing and tiny habits: Design event/anchor-based action prompts and shrink the desired behavior into a Starter Step with immediate celebration to form habits.
  • Use cases: onboarding that doesn’t “take,” low activation rates, churn analysis, cohort curve interpretation, feature adoption plateaus, and notification fatigue.

Quick Start

Use improve-retention to analyze a user’s first-week funnel and produce a prioritized plan to shrink the core action, fix the weakest Ability Chain link, and rewrite the onboarding prompt as an anchor-based action that lands above the Action Line.

Frequently Asked Questions about improve-retention

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

FAQPage Schema
How do I diagnose user churn and fix retention drop-offs in my onboarding funnel?

Diagnose retention drop-offs by applying Fogg's behavior model B=MAP to pinpoint whether churn stems from insufficient motivation, low ability, or poorly timed prompts. This method maps activation failures directly to behavioral bottlenecks.

What causes low activation rates after a user's first session?

Low activation rates often occur when the desired behavior falls below the Action Line due to high friction in the Ability Chain or weak motivation. An Ability Chain friction audit identifies the weakest bottleneck across time, effort, and mental cost.

How do I design prompt timing to improve feature adoption and avoid notification fatigue?

Design event or anchor-based action prompts to improve feature adoption and avoid notification fatigue. By aligning prompts with existing user routines and shrinking the desired behavior into a Starter Step, you encourage habit formation.

What is the Ability Chain friction audit for cohort retention curve analysis?

The Ability Chain friction audit is a diagnostic method that pinpoints the weakest bottleneck preventing user retention. It evaluates time, money, physical effort, mental effort, social deviance, and non-routine factors to remove friction.

Can I use Fogg's behavior model to fix onboarding that doesn't take?

Yes, Fogg's B=MAP model is specifically applied to onboarding that doesn't take by mapping retention failures to mismatches in Motivation, Ability, and Prompt timing. It prescribes Starter Steps and right-timed prompts to build habits.

When should I not use behavior design for churn analysis?

Behavior design for churn analysis is less effective when retention failures stem from external factors like pricing, market fit, or technical bugs rather than user motivation, ability, or prompt timing mismatches.