/Ian Tabone

What CTOs Should Actually Measure in Engineering Teams.

A pragmatic view on engineering metrics for CTOs who want better visibility into delivery, reliability, quality, and organisational health without creating metric theatre.

Metrics
Engineering Leadership
Delivery
CTO
A professional reviewing analytics dashboards on a laptop and tablet.

The metric problem

Engineering metrics are useful right up until teams start performing for the metric instead of learning from it. Many organisations know they need more visibility, but end up with dashboards full of numbers that are either too noisy, too local, or too easy to game.

The objective is not to measure more. It is to measure the few things that help leaders intervene earlier and steer more intelligently.

The categories that matter most

For CTOs, the most useful view usually spans four categories: delivery flow, quality, reliability, and team capability. Looking at only one of these in isolation creates distortion.

  • Delivery flow: how work moves from commitment to production
  • Quality: whether speed is being purchased through avoidable defects or rework
  • Reliability: how well the platform behaves in production and how fast teams recover
  • Team capability: whether the organisation is becoming more resilient or more dependent on a few individuals

What leaders should avoid

The metrics that create the most damage are usually the ones that flatten context. Lines of code, raw ticket counts, or simplistic velocity comparisons between teams rarely tell a meaningful story. Worse, they often reward local optimisation at the expense of broader outcomes.

  • Comparing teams without accounting for domain complexity
  • Using productivity proxies as performance management shortcuts
  • Assuming a single metric can explain delivery health
  • Ignoring qualitative signals from incidents, retrospectives, and support pain

What a useful metric system looks like

Good measurement informs conversations. It does not replace them. The best dashboards help leaders ask sharper questions: why lead time changed, why defect patterns rose, why a service is operationally expensive, or why one domain repeatedly misses its commitments.

  • Use trends rather than isolated snapshots
  • Connect technical measures to product and operational outcomes
  • Review metrics at the level where action can actually happen
  • Revisit the metric set as the organisation and platform evolve

The CTO standard

If a metric does not improve a decision, it is probably not worth much. CTOs should hold measurement systems to that standard. The right set of signals creates earlier visibility, calmer prioritisation, and better alignment between engineering detail and business reality.

That is ultimately the point: not better dashboards for their own sake, but better leadership through better evidence.