Diego's Campaign-Attribution Report — Schema
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Flat CSV in diego-campaign-attribution.csv. Three logical row groups distinguished by section.

Columns
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Column          Type             Description
--------------  ---------------  ----------------------------------------------------------------------------------------------------------------------------------
section         text             cold_failure, csar_crystallize, or csar_refine.
id              integer or text  Failure-mode id (measure, grain, narrative) for cold rows; question number for crystallize rows; correction index for refine rows.
label           text (quoted)    Failure kind (cold), question text (crystallize), or correction kind (refine).
copilot_pick    text (quoted)    Cold: what Copilot picked. Crystallize: Diego’s answer. Refine: chart being corrected.
diego_intended  text (quoted)    Cold: what Diego intended. Refine: the correction. Empty on crystallize rows.
detection       text (quoted)    Cold: how the failure was detected. Empty on other row types.

The wide-shape schema keeps three heterogeneous logical row types in one CSV without splitting into three files. The section column disambiguates.

Row inventory
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- 3 cold_failure rows (measure, grain, narrative).
- 6 csar_crystallize rows (questions 1..6).
- 3 csar_refine rows (three corrections).

Total: 12 rows.

Deliberate design choices
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The wide-shape approach lets the reader (or an instructor building a workshop) load one CSV and pivot on section to work each phase in isolation. The three-section shape mirrors the CSAR loop’s structure at a glance.

License
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Released for teaching use alongside The Defensible Decision. Use freely.