Policy : Link Metrics to Meaningful Outcomes

Commitment to Measuring What Matters
We believe that metrics should illuminate outcomes, not just activity. Counting pull requests, commits, or tickets says little about whether we’re creating real value. By aligning metrics to what matters—to users, to systems, and to the business—we make better decisions and build more purposeful systems.

What This Means
We focus on metrics that reflect actual impact, not internal effort. We use frameworks like DORA and SPACE to understand the health of delivery. We track how long it takes to turn ideas into value, and how reliably data and systems meet the needs of those who depend on them.

Our commitment to meaningful metrics is built on:

• Outcome-Focused Measurement – Teams measure results like uptime, latency, adoption, and recovery time—not just internal activity such as PR counts or story points.
• DORA and SPACE as Health Signals – Metrics from DORA (e.g. lead time, deployment frequency) and SPACE (e.g. satisfaction, flow) are used to guide team health and delivery improvement.
• Analytics Over Opinion – Product and platform analytics guide prioritisation and planning decisions, reducing reliance on anecdotal or stakeholder-driven direction.
• Time-to-Value Tracking – Time is measured from concept to customer—not just from commit to deploy. We track how long it takes for ideas to reach users and deliver impact.
• Data Reliability as a Metric – Data teams use freshness, completeness, and latency metrics to assess trust in pipelines—not just pipeline run success.

Why This Matters
When teams measure only what’s easy, they optimise the wrong things. Vanity metrics create noise and false confidence. Meaningful metrics focus teams on results, strengthen trust, and create feedback loops that drive better prioritisation, healthier systems, and faster delivery of value.

Our Expectation
All teams must use outcome-aligned metrics to guide improvement and decision-making. This includes adopting DORA/SPACE metrics, tracking time-to-value, and assessing system and data reliability. Leaders must support transparent, thoughtful measurement over simplistic counting.

To support this policy, teams will be guided by standards for outcome-based metrics, metric hygiene, and analytics best practices. By linking metrics to meaningful outcomes, we drive decisions with evidence, reduce noise, and deliver value with clarity and confidence.