Place Model Risks on the Right Response Map
Use likelihood and impact to choose a proportionate deployment risk response.
Likelihood Impact Low High Mitigate before launch High impact - High likelihood Example: known feature-store lag will affect a major channel. Reduce scope, fix the dependency, or block launch until the control exists. tr Contingency and escalation High impact - Low likelihood Example: rare but severe protected-segment regression. Add detection, escalation owner, rollback path, and explicit acceptance before launch. tl Operate and monitor Low impact - High likelihood Example: frequent low-volume fallback blips. Create runbook thresholds so the team handles noise without waking everyone. br Accept or track Low impact - Low likelihood
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