Can I use this for conversion rate optimization (CRO)?

Yes, it includes specific templates for diagnosing missing elements in conversion funnels and suggests interventions like Spark, Facilitator, or Signal prompts.

What is the 'Simplicity Chain' in this framework?

It is a way to measure Ability by looking at the weakest link among factors like Time, Money, Physical Effort, Mental Effort, Social Deviance, and Non-routine actions.

How does this skill help with product onboarding?

The skill provides a diagnosis tree to determine if users lack the desire (Motivation), find the process too hard (Ability), or simply aren't being triggered at the right time (Prompt).

What is the Fogg Behavior Model used for in software?

It is used to understand why users aren't taking desired actions. By analyzing Motivation, Ability, and Prompts, developers can design flows that make behavior more likely to occur.

Fogg Behavior Model Design

Name: Fogg Behavior Model Design
Author: Microck

byMicrock

•

设计工具

Analyzes and designs user behavior changes using the B=MAP framework to improve product adoption and conversion.

This skill implements the BJ Fogg Behavior Model (B=MAP) within Claude, providing a structured framework to understand why users take—or fail to take—specific actions. By evaluating Motivation, Ability, and Prompts, it helps designers and developers diagnose friction in onboarding flows, optimize conversion funnels, and build habit-forming features. It offers specialized templates for behavior diagnosis, intervention design, and the 'Tiny Habits' approach to ensure product changes are grounded in proven behavioral science.

主要功能

01Behavioral diagnosis using the B=MAP (Motivation, Ability, Prompt) formula

02Friction identification across the Simplicity Chain (time, effort, cost)

03Automated intervention design templates for low-conversion features

04Behavior type classification (Green, Blue, Purple, Gray) for targeted solutions

05Tiny Habits integration for building long-term user engagement

062 GitHub stars

使用场景

01Auditing an onboarding flow to identify where users drop off

02Increasing SaaS feature adoption by reducing mental effort and friction

03Designing a new feature notification system based on optimized Prompt types

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/opendots-microck flpbalada-fogg-behavior-model

For use in Claude.ai and ChatGPT

主要功能

01Behavioral diagnosis using the B=MAP (Motivation, Ability, Prompt) formula

02Friction identification across the Simplicity Chain (time, effort, cost)

03Automated intervention design templates for low-conversion features

04Behavior type classification (Green, Blue, Purple, Gray) for targeted solutions

05Tiny Habits integration for building long-term user engagement

062 GitHub stars

使用场景

01Auditing an onboarding flow to identify where users drop off

02Increasing SaaS feature adoption by reducing mental effort and friction

03Designing a new feature notification system based on optimized Prompt types

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/opendots-microck flpbalada-fogg-behavior-model

For use in Claude.ai and ChatGPT