EngineeringMetricsBusinessMetrics
title: Tying Engineering Metrics to Business Metrics radar_quadrant: Techniques radar_ring: Assess radar_position: inner created: 2026-05-26 last_updated: 2026-05-26 tags: [sre, metrics, dora, engineering-leadership, business] source_url: https://icchasethi.medium.com/tying-engineering-metrics-to-business-metrics-f4df7651e026
A methodology for mapping engineering health indicators to business outcomes, authored by Iccha Sethi and published on Medium in 2024. The article addresses the gap between technical metrics that engineering teams track internally and the language business stakeholders use to make investment decisions.
Engineering teams routinely measure DORA metrics (deployment frequency, lead time for changes, change failure rate, mean time to recovery) and system reliability indicators (error rates, latency, availability). These metrics are meaningful within engineering but opaque to product managers, executives, and boards who reason in terms of revenue, customer retention, and time-to-market.
The framework connects engineering signals to business outcomes through causal chains:
- Deployment frequency → feature velocity → revenue: higher deployment frequency enables faster delivery of revenue-generating features and experiments.
- Change failure rate → incident frequency → customer trust: lower failure rates reduce customer-facing outages and churn risk.
- Lead time for changes → competitive responsiveness: shorter lead times allow faster reaction to market signals and competitor moves.
- MTTR → outage cost → operational expense: lower recovery times reduce the financial and reputational cost of incidents.
The methodology requires identifying which business KPIs engineering work most directly influences, then building a measurement chain from engineering metric to business outcome with supporting data.
Primarily useful for engineering leaders making the case for reliability investment, tooling improvements, or headcount. Also applicable when prioritising technical debt work — framing technical improvements in terms of their downstream business impact increases stakeholder buy-in.
Placed in Techniques / Assess / inner. The framework is conceptually straightforward and directly applicable to any engineering organisation that tracks DORA metrics and reports to non-technical leadership. Inner position reflects that no tooling is required — the technique is a communication and measurement design discipline. Trial gate: one internal presentation or document connecting an engineering metric to a business KPI with supporting data from a real system.
