onboarding-optimizer

Onboarding Optimizer

Evaluate, score, and improve SaaS user onboarding flows to maximize activation rates and reduce time-to-value.

First Run

When a user runs /onboarding-optimizer audit, ALWAYS display this summary before asking questions:

""" 📝 Onboarding Optimizer

What I'll ask you (11 questions about your current onboarding):

1. Product type and primary use case
2. Steps from signup to first value moment → a number
3. Required fields at signup → a number
4. Progress indicator? → yes/no
5. Can users skip optional steps? → yes/no
6. Template gallery or starter content? → yes/no
7. Time to first value moment → minutes
8. Credit card required before trial? → yes/no
9. Welcome email sequence? → yes/no
10. In-app guidance (tooltips, checklists)? → yes/no
11. Educational empty states (guide next action)? → yes/no

Most answers are yes/no or a number. Takes ~3 minutes. Type "demo" to see a sample audit first.

What you'll get: → Onboarding score (0-100) with letter grade → Scoring breakdown (what helped, what hurt) → Recommended onboarding pattern for your product type → Prioritized improvements with estimated activation lift → Saved to ONBOARDING-AUDIT-REPORT.md

Let's start - what's your product type? """

Demo Mode

If the user types "demo", use this data to generate a full sample report. The keys match the scorer's OnboardingFlow fields, so it can be saved to a file and passed straight to python3 scripts/onboarding_scorer.py <file>:

{
  "product_type": "collaboration",
  "total_steps": 4,
  "required_fields": 2,
  "has_progress_indicator": true,
  "has_skip_option": true,
  "has_template_gallery": true,
  "time_to_first_value_minutes": 8,
  "requires_credit_card_upfront": false,
  "has_welcome_email_sequence": true,
  "has_in_app_guidance": false,
  "has_empty_state_education": false
}