“Which inspection results actually count as passed?”
A quality team asks about the inspection pass rate and gets a fluent answer. Whether it used the definition your quality team reports — including how conditional inspections are treated — is another matter. Duodata captures that definition once, with an owner, and puts it to work in your platform.
For quality and operations teams · Quality · Operations · Finance
Inspection pass rate, two definitions
78 inspections closed last quarter; 68 passed. The pass rate depends on how conditional inspections are treated. Both numbers below are correct — for different definitions.
“What was our inspection pass rate last quarter?”
Definition A · conditionals count
68 passed ÷ 78 inspections
87.2%
Conditional inspections stay in the denominator until they are resolved.
Definition B · conditionals excluded
68 passed ÷ 72 decided inspections
94.4%
The 6 still-conditional inspections are excluded until decided.
Moving from 87.2% to 94.4% here is a changed definition, not a quality improvement. Duodata records which definition is agreed, who owns it, and when it changed — so a new number never masquerades as a better result.
Illustrative example with fictional data. Not a measured customer result.
Put this meaning to work in your platform.
Databricks
The agreed definition deploys as Unity Catalog metric views, answered by AI/BI Genie.
Snowflake
The agreed definition deploys as Semantic Views, answered by Cortex Analyst.
Start a free pilot
We work through one business question with you: agree its meaning, map it to the relevant data and review how it works on Snowflake or Databricks. We agree the scope together before we start.
- 01One business question
- 02One owner of the definition
- 03The data it depends on
- 04A review on your platform
- Start a free pilotWatch demo

