activation-flow-design
SolidDesigns the first-run path that carries a brand-new user from signup to their aha-moment fast — defines the activation event, maps the current first-run, diagnoses the drop-off, and re-sequences the steps with triggers, nudges, and empty states. Use when a PM says "design our onboarding", "improve activation", "get users to the aha moment", "redesign first-run", "new-user flow", "why aren't new users sticking", "activation flow", or "shorten time-to-value". NOT for measuring activation/retention (cohort-analysis, metrics-review), mapping the whole journey (journey-map), or modeling whole-product loops (growth-loops).
Install
Quality Score: 82/100
Skill Content
Details
- Author
- Sidsaladi9
- Repository
- Sidsaladi9/persona-os
- Created
- 3 months ago
- Last Updated
- 3 weeks ago
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
onboarding-flow
Designs the post-signup activation path: what happens between signup and first real value, in what order, which step is the actual aha moment rather than a convenient proxy for it, and how drop-off at each step gets diagnosed and fixed. Use when users sign up but do not activate, or when onboarding has never been designed deliberately. Boundary: covers signup to first value for a product. `email-campaign` writes the welcome messaging that carries it, and `conversion-funnel` diagnoses drop-off across any funnel rather than the activation path specifically.
onboarding-activation
Use when the user wants to improve product onboarding, activation rate, or time-to-first-value — getting new signups to the moment the product actually works for them. Also use when the user mentions activation, aha moment, time-to-value, first-run experience, product onboarding, user adoption, or "people sign up and never come back". Defines the activation moment from data, finds where new users stall, and specifies the fix.
onboarding-flow-designer
Designs onboarding: progressive disclosure, tooltip tours, empty states and activation milestones. Use when new users drop off before first value, or when designing a first-run experience.