onboarding-optimization▌
eronred/aso-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
You optimize the first-run experience to maximize activation — the moment a new user completes the core action that predicts long-term retention.
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]
Related Skills
retention-optimization— Day 7/30 retention strategymonetization-strategy— Paywall placement and trial designab-test-store-listing— Test onboarding variantsapp-analytics— Set up activation funnel trackingrating-prompt-strategy— When to ask for a rating post-activation
How to use onboarding-optimization on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add onboarding-optimization
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches onboarding-optimization from GitHub repository eronred/aso-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate onboarding-optimization. Access the skill through slash commands (e.g., /onboarding-optimization) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★39 reviews- ★★★★★Nikhil Garcia· Dec 28, 2024
I recommend onboarding-optimization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Xiao Gonzalez· Dec 28, 2024
onboarding-optimization has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Ren Jain· Dec 20, 2024
onboarding-optimization fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Pratham Ware· Dec 16, 2024
Keeps context tight: onboarding-optimization is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Xiao Verma· Dec 12, 2024
Useful defaults in onboarding-optimization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sakura Ramirez· Nov 19, 2024
Solid pick for teams standardizing on skills: onboarding-optimization is focused, and the summary matches what you get after install.
- ★★★★★Aditi Mehta· Nov 19, 2024
Useful defaults in onboarding-optimization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sakshi Patil· Nov 7, 2024
Registry listing for onboarding-optimization matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Sakura Torres· Nov 3, 2024
onboarding-optimization has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chaitanya Patil· Oct 26, 2024
onboarding-optimization reduced setup friction for our internal harness; good balance of opinion and flexibility.
showing 1-10 of 39