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 ratio of daily active users to weekly active users, indicating how many days per week the average user returns.
Evaluation method
DAU / WAU
Signal type
leading
What it is best for
Understanding how embedded the product is in users’ workflows
How frequently users come back. A high ratio means the product is part of users’ daily workflow.
Tell you about depth of engagement or whether daily visits are meaningful.
Scenario: AI sends daily digest or personalized summaries
What happens: DAU increases as users open AI-generated summaries
What it really means: Users may be clicking notifications, not engaging with the product. Engagement may reflect AI-driven prompting, not organic value.
Recommendation: Track session depth alongside DAU. If sessions triggered by AI notifications are shorter, the engagement is shallow.
This entry is stronger when paired with:
Define "active" consistently — a page view, a logged action, or a session of minimum duration.
Sample events
session_start, active_action A project management tool has a DAU/WAU of 0.71. After introducing AI daily standups, the ratio rises to 0.82 — but average session duration drops from 8 minutes to 2 minutes.