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AI Product Tools  /  MIF Explorer  /  Library  /  UX

Truth Layer

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.

KPI UX DirectionalLeadingAI-Sensitive

DAU/WAU Ratio

The ratio of daily active users to weekly active users, indicating how many days per week the average user returns.

Category: Engagement
Measurement class: KPI

Measurement Class

A measurement class tells you what kind of measure something is, not just what topic it covers.

Why it matters: It stops teams from building a stack full of only KPIs while ignoring value, governance, or AI signals.

Example: Governance Metric and AI Signal are two different measurement classes.

Frequency: Weekly
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Evaluation method

DAU / WAU

Signal type

leading

What it is best for

Understanding how embedded the product is in users’ workflows

What it tells you +

How frequently users come back. A high ratio means the product is part of users’ daily workflow.

What it does not tell you +

Tell you about depth of engagement or whether daily visits are meaningful.

When to use it +
  • Understanding how embedded the product is in users’ workflows
  • Comparing engagement trends over time
When not to use it +
  • For products with naturally low-frequency use patterns
  • Without normalizing for product type expectations
How leaders misuse it +
  • Treating any ratio below 0.5 as bad without considering product category
  • Ignoring that notifications can artificially inflate daily active counts
Anti-patterns +
  • Sending excessive notifications or emails to inflate daily engagement
AI interpretation risks +

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.

Companion entries +
Instrumentation or evaluation guidance +

Define "active" consistently — a page view, a logged action, or a session of minimum duration.

Sample events

session_start, active_action
Examples +

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.

Suggested decisions +
  • Ratio above 0.6: strong daily habit. Protect this with stability and performance.
  • Ratio 0.3-0.6: moderate engagement. Investigate what drives daily visits for power users.
  • Ratio below 0.2: low frequency is expected or the product lacks a daily value proposition.