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 average time users spend in a single session.
Evaluation method
sum(session_durations) / total_sessions
Signal type
coincident
What it is best for
Content and media products where longer time indicates consumption
How much time users invest per visit. Can indicate engagement depth for some product types.
Tell you whether time spent was productive, enjoyable, or wasted on confusion.
Scenario: AI chatbot or assistant keeps users engaged in conversation
What happens: Session duration increases significantly
What it really means: Users may be spending time talking to the AI rather than accomplishing goals. Longer sessions may reflect dependency or confusion, not productive engagement.
Recommendation: Segment sessions by whether AI was used. Compare task completion rates between AI-heavy and AI-light sessions.
This entry is stronger when paired with:
Optimizing this entry alongside the following may create tension:
Cap session length at a reasonable maximum (30-60 minutes) to exclude forgotten tabs. Use median for accuracy.
Sample events
session_start, session_end A documentation site sees average session duration rise from 3 to 8 minutes after a reorganization. User feedback confirms longer sessions reflect deeper reading, not navigation confusion.