cdo-review

# /cs:cdo-review — CDO Forcing Questions **Command:** `/cs:cdo-review <plan>` The decision-driven CDO pressure-tests any plan that touches data strategy. Six questions before any commitment to a data architecture, AI training run, data productization, or data team hire. ## When to Run - Before approving any new ML model training run that uses customer data - Before signing a multi-year data-infrastructure SaaS contract (Snowflake, Databricks, Fivetran) - Before productizing any customer data (benchmark report, embedding endpoint, license) - Before a major data team hire (head of data, CDO, data PM, ML engineer) - Before M&A diligence — yours or theirs - When the founder uses the word "monetize" near "data" ## The Six CDO Questions ### 1. What decision does this data drive? **If no decision is unblocked, why are we collecting / training on / productizing it?** - "We might need it later" is not a decision. - "It feels like a moat" is not a decision. - A real answer names a specific business call that requires this data. ### 2. What's the consent provenance for every source? **For each data source: origin, consent flow, data class, intended use.** - 1st-party-TOS-only is weaker than 1st-party-explicit-opt-in. - Bundled TOS doesn't cover material new purposes (training on PII for foundation models). - Run `ai_training_data_audit.py` if there's any AI use case in scope. ### 3. Who consumes this internally — and how many distinct functional domains? **Drives the centralize-...