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fogg-behavior-model

Diagnose user behavior gaps and design interventions using the B=MAP framework.

Updated Apr 29, 2026
Search Tags:#conversion optimization#user onboarding#feature adoption#behavior design#habit formation#product psychology#fogg model
One-click install
npx skills add https://github.com/dev-khoi/AURA-conHack-2026 --skill fogg-behavior-model-dev-khoi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fogg-behavior-model
Source: https://github.com/dev-khoi/AURA-conHack-2026/tree/main/.opencode/skills/fogg-behavior-model
Command: npx skills add https://github.com/dev-khoi/AURA-conHack-2026 --skill fogg-behavior-model-dev-khoi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Product teams often struggle to understand why users fail to complete onboarding, adopt features, or build habits. This Skill provides a structured diagnostic framework (Motivation, Ability, Prompt) to pinpoint exactly which element is missing and design targeted interventions. ## Core Features & Use Cases - Behavior Diagnosis: A step-by-step decision tree to identify whether a missing behavior stems from low motivation, low ability, or absent prompts. - Intervention Design: Maps each diagnosis to concrete fixes such as spark prompts, facilitator prompts, friction reduction, and Tiny Habits anchoring. - Structured Output Template: Produces a complete behavior design analysis with scored elements, ability breakdown, prioritized interventions, and success metrics. - Use Case: When a SaaS feature has low adoption, use this Skill to score motivation, ability, and prompt levels, then generate a prioritized intervention plan such as adding one-click dashboard access and contextual in-app tooltips. ## Quick Start Analyze why users are not completing our onboarding flow using the Fogg Behavior Model and recommend interventions.

Frequently Asked Questions about fogg-behavior-model

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

FAQPage Schema
How do I diagnose why users are not completing onboarding?▼

Use the B=MAP diagnosis tree: first check if users want to act (motivation), then whether they can act easily (ability), then whether a prompt arrives at the right moment. The missing element determines whether you need a spark, facilitator, or signal prompt.

What is the Fogg Behavior Model B=MAP formula?▼

B=MAP states a behavior occurs only when Motivation, Ability, and a Prompt converge at the same moment. If any element is missing, the behavior fails. Prompts only work when motivation and ability place the user above the action line.

How do I increase feature adoption in a SaaS product?▼

Score motivation, ability, and prompt for the target behavior, then fix ability first since it is easiest to change. Typical interventions include one-click access, smart defaults, social proof for motivation, and contextual in-app prompts at relevant moments.

Should I fix motivation or ability first in behavior design?▼

Fix ability first. Motivation is hard to change, fluctuates, and is often outside your control, while ability improvements are directly designable and permanent. Reducing friction helps even when user motivation dips.

What are the limitations of the Fogg Behavior Model?▼

The model diagnoses single target behaviors at a moment in time and does not address long-term retention loops or emotional engagement depth on its own. For full habit loops, combine it with frameworks like the Hooked Model or Tiny Habits.

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