Crash Analytics

作者 appeeky3919d7c27402无许可证2.1K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库2天前更新

When the user wants to monitor, triage, or reduce their app's crash rate — including setting up Crashlytics, prioritizing which crashes to fix first, interpreting crash data, and understanding how crashes affect App Store ranking. Use when the user mentions "crash", "crashlytics", "crash rate", "ANR", "app not responding", "crash-free sessions", "crash-free users", "symbolication", "stability", "firebase crashes", "app crashing", or "crash report". For overall analytics setup, see app-analytics.

AI 生成的概览

指导使用 Crashlytics 与应用商店崩溃数据对移动应用崩溃进行分诊、优先级排序和降低崩溃率。

功能
该技能提供监控和降低应用崩溃率的操作说明,涵盖 iOS 与 Android 的 Firebase Crashlytics 接入、非致命错误记录以及堆栈符号化。它给出按崩溃频率、受影响用户数和用户分群权重评分的分诊框架,并说明如何阅读崩溃报告和进行分阶段发布监控。最终产出结构化的稳定性审计报告,包含无崩溃会话与无崩溃用户指标、P0 至 P3 优先级问题清单和行动计划。
适用场景
当用户想要搭建崩溃上报、解读崩溃或 ANR 数据、判断应先修复哪些崩溃,或了解崩溃率如何影响应用商店排名与评分时使用。它也适用于发布期间的监控以及应对由崩溃引发的一星评价。
运行要求
该技能不附带脚本,仅为说明文档。按其操作需要可访问 Firebase Crashlytics(或 App Store Connect 与 Xcode Organizer 的崩溃数据)、一个 iOS 或 Android 项目;手动符号化时还需要 upload-symbols 工具、GoogleService-Info.plist 和 dSYM 文件。

Crash Analytics

You help triage, prioritize, and reduce app crashes — and understand how crash rate affects App Store discoverability and ratings.

Why Crash Rate Is an ASO Signal

  • App Store ranking — Apple's algorithm penalizes apps with high crash rates
  • App Store featuring — High crash rate disqualifies editorial consideration
  • Ratings — Crashes are the #1 cause of 1-star reviews
  • Retention — A crash in the first session destroys Day 1 retention

Target: crash-free sessions > 99.5% | crash-free users > 99%

Tools

ToolWhat it providesSetup
Firebase CrashlyticsReal-time crashes, ANRs, symbolicated stack tracesAdd FirebaseCrashlytics pod/SPM package
App Store ConnectCrash rate trend, crashes per sessionBuilt-in, no code needed
Xcode OrganizerAggregated crash logs from TestFlight + App StoreXcode → Window → Organizer → Crashes
MetricKitOn-device diagnostics, hang rate, launch timeiOS 13+, automatic

Recommended: Crashlytics (real-time alerts + search) + App Store Connect (trend validation)

Crashlytics Setup

iOS (Swift)

swift
// AppDelegate or @main App structimport FirebaseCoreimport FirebaseCrashlytics
@mainstruct MyApp: App {    init() {        FirebaseApp.configure()        // Crashlytics is auto-initialized    }}

Non-fatal errors (track without crashing)

swift
// Log a non-fatal errorCrashlytics.crashlytics().record(error: error)
// Log a custom key for debugging contextCrashlytics.crashlytics().setCustomValue(userId, forKey: "user_id")Crashlytics.crashlytics().setCustomValue(screenName, forKey: "current_screen")

Android (Kotlin)

kotlin
// build.gradle (app)implementation("com.google.firebase:firebase-crashlytics:18.x.x")
// No additional code needed — auto-captures unhandled exceptions// For non-fatal:FirebaseCrashlytics.getInstance().recordException(throwable)

Triage Framework

Not all crashes are equal. Prioritize by impact:

Priority Score = Crash Frequency × Affected Users × User Segment Weight

PriorityCriteriaResponse time
P0 — CriticalCrashes on launch / checkout / core feature; >1% of sessionsFix today
P1 — HighCrashes in common flows; >0.1% of sessionsFix this release
P2 — MediumEdge case crashes; <0.1% of sessionsFix next release
P3 — LowRare, non-blocking crashes; <0.01% of sessionsBacklog

Crashlytics Dashboard Triage

  1. Sort by "Impact" (unique users affected), not frequency
  2. Group: onboarding, checkout, core feature, background, launch
  3. Assign P0/P1 to the top 3–5 issues
  4. Set a velocity alert in Crashlytics for any issue affecting >0.5% of users

Reading a Crash Report

Fatal Exception: com.example.NullPointerException  at com.example.UserProfileVC.loadData:87  at com.example.HomeVC.viewDidLoad:45
Keys:  user_id: 12345  current_screen: "home"  app_version: "2.3.1"  os_version: "iOS 17.3"

Steps to debug:

  1. Open the file and line in Xcode (UserProfileVC.swift:87)
  2. Check what can be nil at that point
  3. Reproduce with the user context (OS version, device, screen)
  4. Write a failing test before fixing

Symbolication

Crashlytics auto-symbolicates if you upload dSYMs. If you see unsymbolicated traces:

bash
# Manually upload dSYMs./Pods/FirebaseCrashlytics/upload-symbols -gsp GoogleService-Info.plist -p ios MyApp.app.dSYM

For Bitcode-enabled builds, download dSYMs from App Store Connect → Activity → Build → dSYMs.

App Store Connect Crash Data

  • App Store Connect → App Analytics → Crashes — Crash rate trend per version
  • Compare crash rate before and after each release
  • A spike on a specific version = regression in that release

Crash rate formula: Crashes / Sessions × 100

Release Strategy to Minimize Blast Radius

Use phased releases to catch crashes before full rollout:

iOS: App Store Connect → Version → Phased Release (7-day rollout: 1% → 2% → 5% → 10% → 20% → 50% → 100%)

Android: Play Console → Production → Managed publishing → Rollout percentage

Rule: Monitor Crashlytics for 24 hours at each phase. If crash rate increases >0.2%, pause rollout.

Responding to Crash-Driven 1-Star Reviews

  1. Identify the app version where crash-related 1-stars appeared
  2. Fix the crash
  3. Reply to each crash-related review: "Fixed in version X.X — please update"
  4. After update ships, use rating-prompt-strategy to recover rating

Output Format

Crash Audit Report

Stability Report — [App Name] v[version] ([period])
Crash-free sessions: [X]%  (target: >99.5%)Crash-free users:    [X]%  (target: >99%)Top crash issues:
P0 Issues (fix immediately):  #1 [Exception type] — [X] users, [X]% of sessions     File: [filename:line]     Cause: [hypothesis]     Fix: [specific action]
P1 Issues (this release):  #2 [Exception type] — [X] users, [X]% of sessions     ...
Action Plan:  Today:     Fix P0 issue #1 → release hotfix  This week: Fix P1 issues #2, #3 → include in v[X.X]  Monitoring: Set velocity alert at 0.5% session threshold

Related Skills

  • app-analytics — Full analytics stack; Crashlytics is one piece
  • rating-prompt-strategy — Recover rating after fixing crash-driven 1-stars
  • review-management — Respond to crash-related reviews
  • retention-optimization — Crashes on Day 1 destroy retention metrics
  • app-store-featured — Crash rate > 2% disqualifies editorial featuring

来源与署名

来源:appeeky/aso-skills位于skills/crash-analytics提交3919d7c

许可证: 无许可证

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