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AI Product Tools / MIF Explorer / Library / UX
Truth Layer
MeaningfulLeading 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.
Error Rate
The percentage of user actions that result in an error, mistake, or unintended outcome.
Evaluation method
error_actions / total_actions × 100
Signal type
leading
What it is best for
Identifying specific UI elements that cause confusion
What it tells you +
Where the interface is confusing, misleading, or poorly designed. A direct proxy for usability friction.
What it does not tell you +
Distinguish between user confusion and system bugs. Does not explain why errors occur.
When to use it +
- Identifying specific UI elements that cause confusion
- Measuring impact of form redesigns or input changes
- Prioritizing usability fixes by frequency and severity
When not to use it +
- When error definitions are ambiguous or inconsistent
- For comparing across very different types of interactions
How leaders misuse it +
- Treating all errors as equally important regardless of severity
- Ignoring error recovery — some errors are easily corrected and not problematic
Anti-patterns +
- Only counting system-reported errors while missing user-perceived mistakes
- Reducing errors by removing functionality rather than improving clarity
Companion entries +
This entry is stronger when paired with:
Instrumentation or evaluation guidance +
Define error types clearly: validation failures, wrong selections, undo events, back-button usage on form steps.
Sample events
form_validation_error, undo_action, back_button_on_form Examples +
A checkout form shows a 34% validation error rate on the phone number field. Switching to a masked input reduces errors to 8%.
Suggested decisions +
- Rank errors by frequency × severity to prioritize fixes
- If error rate exceeds 10% on a critical flow, treat as a P1 usability issue