AI Product Tools / MIF Explorer / Library / UX
Truth Layer
The Truth Layer is the badge system that tells you how trustworthy, directional, or risky a measure is.
Why it matters: It helps teams separate meaningful signals from vanity, misuse, or AI distortion before they optimize the wrong thing.
Example: A metric can be Meaningful, Leading, or Vanity Risk.
The percentage of new users who complete all required onboarding steps.
Evaluation method
users_completing_all_steps / users_starting_onboarding × 100
Signal type
leading
What it is best for
Identifying which onboarding steps cause the most drop-off
Whether the onboarding sequence is appropriately scoped and friction-free.
Guarantee that users who complete onboarding actually understand or value the product.
Scenario: AI assistant guides users through each onboarding step
What happens: Completion rate increases because the AI resolves confusion in real time
What it really means: Users completed onboarding but may not retain the knowledge needed to use the product independently.
Recommendation: Track unassisted task success after AI-guided onboarding to verify knowledge transfer.
This entry is stronger when paired with:
Track per-step drop-off to identify the exact friction points. Consider whether all steps are truly necessary.
Sample events
onboarding_step_1, onboarding_step_2, onboarding_complete A B2B tool has 71% onboarding completion. Step 3 (data connection) has a 40% drop-off. Adding a CSV upload alternative raises overall completion to 84%.