- What do operators get that leadership also gets?
- The same replayable chain: operators care about fewer wrong pauses, less spend pushed through a known leak, and fair attribution when ROAS is downstream of checkout. Leaders care about CFO-ready narrative and reallocation discipline. Same artifact — different scoreboard columns.
- What do the z-scores and funnel numbers prove?
- They are from a synthetic harness: they prove the shape of a defensible artifact (conflicting metrics resolved, funnel math, BLOCK list) — not that we lifted revenue for a customer. Four purchases is a small sample; the article states that explicitly.
- How is this different from a marketing intelligence platform?
- Marketing intelligence platforms unify data and surface anomalies. This layer commits to a cause with confidence, names wrong moves, and checks constraints before execution — work usually left to the operator.
- How is this different from an AI chat on top of dashboards?
- Chat often yields one narrative. Here, hypothesis branches, contraindications, and unknowns are first-class fields so the output is auditable line-by-line.
- What does "confidence: medium" mean?
- The funnel stage is isolated, but the exact mechanism (e.g. shipping vs UX vs payment) is not yet verified. The system states that explicitly and blocks destructive moves until confirmed.
- Is this a customer case study?
- No. It is a synthetic public harness so anyone can inspect the chain without an NDA. Real pilots use the same stages on the customer data.