Decision Value Chains: An Executive Playbook to Map, Attribute & Govern Multi‑Model Outcomes

Enterprises increasingly stitch many models—routing, ranking, personalization, fraud, pricing—into single customer journeys. When outcomes deviate, leaders need to know which model, data feed, or orchestration decision produced the impact and who must fund the fix. This episode opens with a concise vignette where a multi‑model checkout flow produced unexpected churn because an upstream reranker amplified bias. Mirko delivers a pragmatic, non‑technical playbook to create a Decision Value Chain: catalog decision links end‑to‑end, define lightweight attribution rules (credit/blame windows, marginal uplift heuristics), surface board‑read signals that tie chain failures to dollars and reputational exposure, and operationalize remediation lanes (monitor, loan funded fix, vendor renegotiate, retire link). Listeners leave with a 30–90 day pilot blueprint to instrument one customer journey, a one‑page Decision Chain register template, and three executive actions to convert opaque model webs into accountable, fundable controls. Subscribe to DataScience.Show to get the Decision Chain register template. That’s the difference between models and value.

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