What problem does it solve? Teams often see users failing to complete desired actions (checkout abandonment, incomplete onboarding, ignored CTAs) without knowing whether the cause is low motivation, excessive friction, or a missing prompt. This Skill applies BJ Fogg's B=MAP behavior model to systematically diagnose which behavioral factor falls below the action threshold, replacing guesswork with a structured elimination algorithm. ## Core Features & Use Cases - B=MAP Factor Assessment: Scores Motivation (three motivator pairs plus intrinsic/extrinsic/social dimensions), Ability (six Fogg simplicity factors with limiting-factor identification), and Prompt (Spark/Facilitator/Signal type, timing, placement) on evidence-backed 1-5 scales. - Bottleneck Elimination Algorithm: Executes a 4-step convergent diagnosis (prompt, ability, motivation, multiple) ordered by intervention difficulty, producing a severity-classified primary bottleneck with a full evidence trace. - Intervention Recommendations: Generates 3-5 prioritized interventions targeting the diagnosed bottleneck, classified by effort-to-impact ratio and marked with LOW synthesis confidence pending validation. - Use Case: A team sees 23% cart abandonment. The Skill maps B=MAP factors, identifies a missing above-fold CTA as a prompt bottleneck, and hands off the diagnosis to HEART metrics for measurement baselining. ## Quick Start Ask the /user-experience skill why users are not completing a specific action, such as "Diagnose the behavioral bottleneck in our checkout flow using B=MAP."
