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Find the hidden decisions in your metric definitions
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Find the hidden decisions in your metric definitions
2 followers
Two analysts. Same metric name. Different numbers. Not a bug — every metric hides 25-40 decisions nobody explicitly made. QueryLens finds them all. → Score: Paste any definition. Get a score 0-100 across 7 categories. AI coaching improves it one question at a time. → Hidden Decisions: Reveal every implicit decision with severity and variance impact. → Knowledge Graph: See how metrics connect. Find blind spots that repeat. Free to try — no signup needed for your first 2 scores.








Every metric hides 25-40 decisions nobody explicitly made.
Take churn. Sounds simple — cancelled customers ÷ total customers.
But underneath that formula:
- Do trial users count as churned?
- Calendar month or rolling 30 days?
- What about paused subscriptions?
- Failed payments — immediate churn or grace period?
That's 4 of 37 decisions in a typical churn metric. Each one changes the number by 40-200%. Most teams have documented maybe 5 of the 37. The other 32 are assumptions buried in someone's SQL query.
QueryLens finds them all.
Paste any metric definition → get a score from 0-100 across 7 decision categories → AI coaching improves it one question at a time. Watch the score climb from 22 to 91 as each hidden decision becomes explicit.
Also: Hidden Decisions analysis reveals every implicit decision with severity ratings and variance impact.
Knowledge Graph shows how metrics connect across your ecosystem.
Free to try — no signup needed: askquerylens.com
We'd love honest feedback from the PH community. What metric would you score first?