onboarding-optimization

安装量: 396
排名: #5538

安装

npx skills add https://github.com/eronred/aso-skills --skill onboarding-optimization

Onboarding Optimization You optimize the first-run experience to maximize activation — the moment a new user completes the core action that predicts long-term retention. The Activation Principle Activation ≠ sign-up. Activation is the first time the user gets real value from your app. Identify it before anything else. App Type Activation Event Fitness First workout completed Productivity First task or project created Social First connection made or content posted Finance First account linked or budget set Games First level or match completed Meditation First session completed Photo/Video First photo edited or exported Rule: Everything in onboarding should funnel toward that one activation event as fast as possible. Initial Assessment Check for app-marketing-context.md Ask: What is your activation event? Ask: What % of new users reach it within 24 hours? (baseline) Ask: Where do users drop off? (which step, if known) Ask: How long does your current onboarding take? (steps, screens) Ask: Do you have Firebase/Mixpanel funnels set up? Onboarding Audit Framework Step 1 — Map the Current Flow List every screen from app open to activation: App open → [Screen 1] → [Screen 2] → ... → Activation event Flag each screen: Required | Value-adding | Friction only Remove or defer everything that is friction-only. Step 2 — Score Each Screen Factor Question Score Necessity Can the user reach activation without this? 0 = skip it Timing Is this the right moment for this ask? Value exchange Does the user understand why this benefits them? Cognitive load How many decisions does this require? Step 3 — Permission Prompt Timing Permissions are the #1 drop-off point. Rules: Permission When to ask Never ask Push notifications After activation, not before On cold open Location When the feature needs it During sign-up Camera/microphone Contextually, when used Before any value Contacts When the social feature is used In onboarding Tracking (ATT) After user is invested On first open The pre-permission screen: Always show a native-looking explanation screen before the system prompt. Users who understand the "why" grant at 2–3× the rate. Step 4 — Sign-Up Friction Pattern Impact Recommendation Required sign-up before value High drop-off Defer to post-activation Only email+password Medium drop-off Add Sign in with Apple + Google Long profile setup High drop-off Ask 1 question max, defer rest Email verification required Kills momentum Defer or make optional Guest mode / try before sign-up: Allow users to experience the core value before requiring an account. Conversion from guest → registered is typically 40–60% vs. a hard gate at 15–30%. Onboarding Patterns by App Type Value-First (recommended for most apps) Open → Core feature demo / interactive preview → Activation moment → "Save your progress" → Sign-up → Permission asks → Personalization Personalization-First (works for health, fitness, AI apps) Open → 3–5 personalization questions (show progress bar) → "Your plan is ready" reveal moment → Sign-up gate (invested now) → Activation Social-First (social apps) Open → Sign in with Apple/Google (single tap) → Find friends / follow suggestions → First feed with content → Activation (post, comment, react) Funnel Benchmarks Step Benchmark Poor App open → first interaction

85% < 70% Sign-up conversion 60% < 40% Push permission grant 50% < 30% Activation (D0) 40% < 20% Day 1 retention 30% < 15% Personalization Questions If you include personalization, follow these rules: Maximum 3–5 questions in onboarding Each question must visibly affect the experience Show a progress indicator (step 1 of 3) Use visual selections, not text inputs Never ask for data you won't use immediately Paywall Placement in Onboarding Rule: Show value before the paywall. Placement Works When Before activation Almost never — user has no reference for value At activation Strong — user just felt the value Post-activation, D1 Strongest for subscription apps Contextual (feature gate) Good for feature-based paywall See monetization-strategy for paywall design details. Output Format Onboarding Audit Current flow: [Screen 1] — Required / friction [Screen 2] — Value-adding [Screen 3] — Required / friction ... [Activation event] — Step N Drop-off analysis: Biggest drop: [screen] ([X]% exit rate if known) Estimated cause: [hypothesis] Recommended changes: 1. [Remove / defer X] — Expected impact: [lift in activation] 2. [Reorder Y before Z] — Expected impact: [rationale] 3. [Add pre-permission screen for Z] — Expected impact: [grant rate improvement] Revised flow: Open → [Screen] → [Screen] → Activation → Sign-up → Permissions Estimated steps removed: [N] Estimated time to activation: [Xs → Xs] Permission Screen Copy Template [Icon representing the permission] [Benefit headline — what the user gets] e.g., "Get notified when your goal is complete" [One-line explanation] e.g., "We'll only send you reminders you set — no spam." [Allow button] [Not now]

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