Executives do not need every operational metric. They need a small, stable view of whether important services are dependable, whether risk is changing, and whether investment is producing a better customer outcome.
Measure the service customers experience
Infrastructure can be healthy while a customer journey is failing. Start with the critical service or journey, then connect its technical indicators to the impact people actually feel. Availability matters, but so do latency, failed transactions, degraded features, data freshness, and the time needed to restore normal service.
Use a balanced reliability view
- Customer experience: successful completion and performance of critical journeys.
- Resilience: whether recovery objectives have been proved, not merely documented.
- Change quality: the proportion of changes that create failure or require remediation.
- Recovery: time to detect, contain, restore, and learn from material incidents.
- Risk trend: known weaknesses moving into or out of agreed tolerance.
No single number tells the whole story. A compact scorecard should show target, current position, trend, confidence in the data, and a named owner.
A reliability metric is useful when it changes a decision, not when it simply fills a dashboard.
Connect measures to investment
Executives should be able to see why reliability work competes for funding. A recurring incident pattern might justify platform improvement. Slow recovery may point to missing automation, weak observability, or an untested operating model. Excessive change failure may require smaller releases and better validation rather than more support capacity.
This connection prevents reliability from becoming a technical hygiene budget that is easy to defer. It also helps teams avoid gold-plating services whose business impact does not justify the cost.
Avoid metric theatre
Percentages without scope are dangerous. State which services, journeys, environments, and time periods are covered. Distinguish measured performance from estimates. Do not average away a severe failure in one critical service by combining it with many low-risk systems.
Start with five questions
- Which customer or operational journeys cannot tolerate extended disruption?
- What reliability promise have we made, explicitly or implicitly?
- Can we prove recovery under realistic conditions?
- What failure pattern consumes the most customer trust or team time?
- Which investment would reduce the most material exposure?
Once these answers are clear, the useful measures usually become obvious. Keep them few, make their scope explicit, and review them as business evidence.