How do you tie MTTR to revenue without perfect attribution?

Agree on shared assumptions with finance (GMV/hour, conversion elasticity, average order value). Then compute the delta on incident days vs. matched control days. It won’t be perfect, but it will be consistent—and that’s what drives decisions.

We don’t run Kubernetes. Can we still do this?

Yes. Replace Argo Rollouts with your CI/CD tool’s canary/blue‑green (e.g., Spinnaker, Harness, CodeDeploy). SLIs/SLOs still run in Prometheus, Datadog, or New Relic. The mechanisms (SLO burn, gating, runbooks) are platform-agnostic.

What if our incidents are caused by AI-generated code we can’t fully audit?

Target hotspots, not entire repos. Use incident clustering to find repeated files, add tests and idempotent retries, and wrap with feature flags. We call it code rescue: small, surgical fixes that remove the pain quickly while you plan deeper refactors.

Case-studies · Dec 4, 2025 · 10 minute read

The MTTR Cut That Paid for Itself in 2 Sprints: Tracing DORA Metrics to Revenue at a Fintech Scale-Up

A mid-market fintech went from weekly fire drills to predictable delivery by tying MTTR, change failure rate, and velocity directly to dollars. Here’s the playbook that actually moved the exec room.

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The MTTR Cut That Paid for Itself in 2 Sprints: Tracing DORA Metrics to Revenue at a Fintech Scale-Up

Key takeaways

Implementation checklist