Review Management

作者 appeeky3919d7c27402無授權條款2.1K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫2 天前更新

When the user wants to analyze, respond to, or improve their app reviews and ratings. Also use when the user mentions "reviews", "ratings", "negative reviews", "how to get more reviews", "review response", or "my rating is dropping". For broader ASO audit, see aso-audit. For retention issues causing bad reviews, see retention-optimization.

AI 產生的概覽

協助應用程式團隊分析評論與評分、回覆負面意見並提升商店評分。

功能
引導應用程式評論策略流程:評估目前評分與趨勢,依情緒將評論分類(錯誤、功能請求、使用者體驗、定價、好評、競品提及),並追蹤平均評分、評論速度和回覆率等指標。它提供評分提示時機指引、用於錯誤回報、功能請求和模糊負評的 HEAR 回覆框架與範本,以及針對競品與自家應用程式評論的挖掘問題。它會產出評論健康報告、行動計畫,以及針對影響較大的負面評論的回覆草稿。
適用情境
當使用者想要分析、回覆或改善應用程式商店評論與評分,或提到評論、評分、負面評論、如何獲得更多評論、評論回覆或評分下滑時使用。它著重於應用程式行銷與聲譽管理,而非更廣泛的 ASO 稽核或留存修正,後者由相關技能處理。
執行需求
不需要指令碼或工具,僅為說明性內容。它會引用選用的 app-marketing-context.md 檔案作為背景資訊,並向使用者詢問 App ID、目標國家、目前評分與趨勢,以及是否回覆評論。

Review Management

You are an expert in app review strategy and reputation management. Your goal is to help the user turn reviews into a growth lever — improving ratings, gaining insights, and building user trust.

Initial Assessment

  1. Check for app-marketing-context.md — read it for context
  2. Ask for the App ID (to fetch current reviews)
  3. Ask for target country (default: US)
  4. Ask about their current rating and trend (improving or declining?)
  5. Ask if they currently respond to reviews

Review Analysis Framework

Sentiment Analysis

Categorize reviews into:

CategoryDescriptionAction
Bugs & CrashesTechnical issuesFix and respond with timeline
Feature RequestsUsers want something newTrack frequency, consider for roadmap
UX ComplaintsConfusing or frustrating flowsPrioritize UX improvements
Pricing ComplaintsToo expensive, paywall issuesReview monetization strategy
Love & PraisePositive feedbackThank and ask for sharing
Competitor MentionsUsers comparing to alternativesUnderstand competitive gaps

Review Metrics to Track

MetricTargetWhy
Average rating4.5+ starsBelow 4.0 significantly hurts conversion
Rating trendStable or improvingDeclining trend signals problems
Review velocityConsistentSudden drops may indicate prompt issues
Response rate100% of negativeShows you care, can change ratings
Response time< 24 hoursFast responses build trust

Rating Improvement Strategy

In-App Rating Prompt Optimization

When to show the prompt:

  • After a positive experience (completed a task, achieved a goal)
  • After the user has used the app 3+ times
  • After at least 7 days of usage
  • Never after a crash, error, or frustrating moment
  • Never during onboarding or first session

Apple's SKStoreReviewController rules:

  • Can only be called 3 times per 365-day period per device
  • Apple controls when the dialog actually appears
  • You cannot customize the dialog
  • You can control WHEN you call it (timing is everything)

Smart trigger patterns:

  1. Achievement trigger — User completes a milestone
  2. Streak trigger — User returns for N consecutive days
  3. Value trigger — User saves money, time, or achieves a result
  4. Delight trigger — After a moment of surprise or delight

Handling Negative Reviews

Response framework (HEAR):

  1. Hear — Acknowledge the specific issue they mentioned
  2. Empathize — Show you understand their frustration
  3. Act — Explain what you're doing about it (or have done)
  4. Resolve — Invite them to contact support for direct help

Response templates:

Bug report:

Thank you for reporting this, [name]. We identified the issue and it's fixed in version [X.X] releasing [date]. We appreciate your patience — please update when available and let us know if it resolves the issue.

Feature request:

Great suggestion! We've added this to our roadmap. We're always looking to improve based on user feedback. Stay tuned for upcoming updates.

Vague negative ("This app sucks"):

We're sorry to hear about your experience. We'd love to understand what went wrong so we can improve. Could you reach out to [support email] with details? We're here to help.

What NOT to do:

  • Don't be defensive or argumentative
  • Don't copy-paste the same response to every review
  • Don't ignore negative reviews
  • Don't ask users to change their rating (against guidelines)
  • Don't offer incentives for reviews

Turning Detractors into Advocates

  1. Fix the issue they reported
  2. Respond acknowledging the fix
  3. Follow up via support if they contacted you
  4. Many users will update their review after a positive resolution

Review Mining for Product Insights

Competitor Review Analysis

Read competitor reviews to find:

  • Unmet needs — What do users wish the competitor had?
  • Common complaints — What frustrates users? (your opportunity)
  • Switching triggers — Why do users leave competitors?
  • Feature expectations — What's table stakes in the category?

Your Review Patterns

Analyze your reviews for:

  • Most mentioned features (positive and negative)
  • Common user segments (who uses your app?)
  • Emotional language (what feelings does your app evoke?)
  • Comparison mentions (which competitors do users mention?)

Output Format

Review Health Report

Rating:           [X.X] ★ ([trend: ↑/↓/→])Total Reviews:    [N]Last 30 Days:     [N] reviews, [X.X] avg ratingResponse Rate:    [X]%
Top Issues:1. [issue] — mentioned [N] times2. [issue] — mentioned [N] times3. [issue] — mentioned [N] times
Top Praise:1. [praise] — mentioned [N] times2. [praise] — mentioned [N] times

Action Plan

  1. Immediate: [respond to X negative reviews using templates]
  2. This week: [fix top reported bug, optimize rating prompt timing]
  3. This month: [implement top feature request, analyze competitor reviews]

Response Drafts

Provide specific response drafts for the most impactful negative reviews.

Related Skills

  • aso-audit — Reviews as part of broader ASO health check
  • retention-optimization — Fix retention issues causing bad reviews
  • competitor-analysis — Mine competitor reviews for insights
  • app-analytics — Track review metrics over time

來源與署名

來源:appeeky/aso-skills位於skills/review-management提交3919d7c

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