Handoff guide
UX critique vocabulary for SaaS onboarding screens.
Use this when AI feedback says make it cleaner but does not explain why users fail to reach value.
Copy/paste handoff
Handoff
Critique this SaaS onboarding flow for activation moment, user mental model mismatch, information architecture, affordance, progressive disclosure, empty state quality, error taxonomy, and time to first value. Return the top five friction points, the exact term for each issue, why it blocks activation, and the smallest practical fix.
Terms this handoff forces into the work
Activation moment
Finds the first concrete value users must reach.
User mental model
Compares product structure with user expectation.
Information architecture
Checks whether objects and actions are grouped clearly.
Affordance
Tests whether users can tell what actions are possible.
Progressive disclosure
Keeps complexity hidden until it becomes useful.
Empty state
Turns blank screens into next useful actions.
Related guides
UX terms for AI product critiques.
A UX vocabulary cheat sheet for prompting AI product critiques: activation moment, mental model, information architecture, progressive disclosure, affordance, empty state, and error taxonomy.
Activation moment vs. aha moment: what should product teams ask AI to find?
A guide to activation moment, aha moment, user mental model, information architecture, progressive disclosure, affordance, and empty state for onboarding prompts.
UX terms for onboarding friction and activation problems.
UX vocabulary for onboarding friction: activation moment, time to value, user mental model, progressive disclosure, empty states, and information architecture.
What do I call it when users drop off during onboarding?
Product UX vocabulary for onboarding drop-off: activation moment, user mental model, information architecture, progressive disclosure, affordance, and empty state.
Common questions
Why not ask for a prettier onboarding screen?
A prettier screen can still fail if it hides the activation moment or conflicts with the user's mental model.
What should the critique rank by?
Rank by impact on first value, repeated use, confusion risk, and implementation effort.