improve-retention
Diagnose and fix retention problems using behavior design (B=MAP). Use when the user mentions "users drop off", "activation rate", "onboarding friction", "retention metrics", "why users dont complete", "churn analysis", "user activation", or "aha moment". Also trigger when analyzing cohort retention curves, designing activation milestones, reducing time-to-value for new users, or investigating why users stop after their first session. Covers the Ability Chain, prompt design, and tiny behaviors t
Security Assessment
About improve-retention
The improve-retention skill helps diagnose and fix retention problems by applying behavior design principles, especially the Fogg Behavior Model: B=MAP. It focuses on situations where users drop off, fail to complete onboarding, miss activation milestones, or stop using a product after an initial session. The skill frames retention as a design problem rather than a willpower or motivation problem, helping teams understand whether behavior is failing because motivation, ability, or prompts are not converging at the right moment.
Its main capabilities include analyzing user activation, onboarding friction, cohort retention curves, time-to-value, and the “aha moment.” It uses the Action Line concept to evaluate whether a desired behavior is easy enough and sufficiently supported by motivation and prompts. It also emphasizes the Ability Chain, prompt design, and tiny behaviors that compound over time. When reviewing or creating behavior design, it scores the design from 0 to 10 and identifies specific improvements needed to reach full alignment.
This skill is useful for product managers, growth teams, UX designers, lifecycle marketers, founders, and anyone investigating churn, activation gaps, or incomplete user journeys. It is especially relevant for products where new users must complete key first actions, adopt features, return after an initial session, or build repeated behavior over time.
FAQ
When should I use improve-retention?
Use it when analyzing retention problems such as users dropping off, low activation rates, onboarding friction, churn, incomplete first-session behavior, or difficulty getting users to reach an aha moment.
What framework does this skill use?
It uses the Fogg Behavior Model, also written as B=MAP, which states that behavior happens when motivation, ability, and a prompt converge at the same moment.
Can this skill evaluate an existing product flow?
Yes. The source content says the skill can review product behavior design, rate it from 0 to 10, and provide specific improvements needed to reach 10/10 alignment.
Does this skill cover habit loops or intrinsic motivation?
No. The content says habit loops and variable rewards are covered by hooked-ux, while intrinsic motivation is covered by drive-motivation.
What information helps this skill work best?
It works best when given context about the user behavior problem, such as onboarding steps, activation milestones, retention metrics, cohort curves, prompts, or points where users stop progressing.
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Repository
wondelai/skills