AgentStack
Browse Sign in
Browse Why AgentStack Sell Docs
Sign in
SKILL verified MIT Self-run

Onboarding Optimization

skill-eronred-aso-skills-onboarding-optimization · by Eronred

When the user wants to improve their app's onboarding experience, increase activation rate, reduce Day 1 drop-off, or optimize the first-run flow. Use when the user mentions "onboarding", "first-run", "activation", "tutorial", "day 1 retention", "new user flow", "permission prompts", "sign-up conversion", "onboarding funnel", or "users dropping off early". For overall retention strategy, see rete…

No reviews yet
0 installs
5 views
0.0% view→install

Install

$ agentstack add skill-eronred-aso-skills-onboarding-optimization

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-eronred-aso-skills-onboarding-optimization)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Onboarding Optimization? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

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

  1. Check for app-marketing-context.md
  2. Ask: What is your activation event?
  3. Ask: What % of new users reach it within 24 hours? (baseline)
  4. Ask: Where do users drop off? (which step, if known)
  5. Ask: How long does your current onboarding take? (steps, screens)
  6. 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% | 60% | 50% | 40% | 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]

Related Skills

  • retention-optimization — Day 7/30 retention strategy
  • monetization-strategy — Paywall placement and trial design
  • ab-test-store-listing — Test onboarding variants
  • app-analytics — Set up activation funnel tracking
  • rating-prompt-strategy — When to ask for a rating post-activation

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet, be the first.

Versions

  • v0.1.0 Imported from the upstream source.