rating-prompt-strategy
CommunityRecover rating drops with smarter review prompts.
System Documentation
What problem does it solve?
It helps you improve your app store star rating by designing when and how you request reviews, preventing early or negative-moment prompts that drive 1–2 star reviews.
Core Features & Use Cases
- Platform-specific review prompt logic: Uses iOS SKStoreReviewRequest timing rules and Android Play In-App Review flow behavior to maximize the chance of receiving high ratings.
- Success-moment targeting: Prompts only after users experience clear value (e.g., completed workout, won level, successful transaction), while avoiding prompts after errors, crashes, or frustration.
- Rating-drop recovery playbook: Correlates rating dips to releases, diagnoses likely complaints, replies to negative reviews, and restarts a carefully filtered prompt campaign after fixes.
Use case: Your app’s rating fell after a release; identify the offending version, fix the issue, reply to affected reviews, then re-enable review prompts only for users who reached defined success milestones.
Quick Start
Run a rating recovery plan for an app that dropped below 4.0 by mapping the decline to the release version, defining success moments, and outputting an iOS and Android review prompt trigger and frequency plan for the next 4 weeks.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: rating-prompt-strategy Download link: https://github.com/Eronred/aso-skills/archive/main.zip#rating-prompt-strategy Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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