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AI Product Tools / MIF Explorer / Library / Leadership
Truth Layer
DirectionalLeading 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.
Internal UX Narrative Reuse Rate
How often the approved UX, design system, or AI measurement narrative is reused by partners outside the core team.
Evaluation method
narrative_reuse_instances / tracked_communications
Signal type
leading
What it is best for
Measuring internal buy-in for UX or design system strategy
What it tells you +
Whether the framing is spreading through the organization and becoming easier for others to advocate with.
What it does not tell you +
Guarantee deep understanding. People can repeat language without fully understanding the model behind it.
When to use it +
- Measuring internal buy-in for UX or design system strategy
- Checking whether a measurement framework is teachable and reusable
When not to use it +
- As a substitute for outcome evidence
How leaders misuse it +
- Treating repeated language as proof the work is already valued or funded
Anti-patterns +
- Optimizing the story to be catchy without making it useful
Companion entries +
This entry is stronger when paired with:
Instrumentation or evaluation guidance +
Track when PMs, engineering leads, or executives reuse the narrative in briefs, planning docs, or presentations.
Sample events
narrative_reused_in_brief, framework_referenced_in_readout Examples +
A design leader noticed PMs and engineering managers were reusing the “beyond KPIs” framing in quarterly reviews, signaling that the measurement language was becoming organizational rather than team-local.
Suggested decisions +
- If reuse is low, simplify the story and make it easier for non-UX partners to repeat accurately
- If reuse is rising without value proof, add stronger evidence before scaling the narrative further