This standard ensures that real-time value metrics are captured and made visible through operational monitoring systems. It helps teams validate that their work delivers measurable outcomes, driving alignment between engineering, product, and business goals.
Aligned to our "Data-Driven Decision-Making" policy, this standard promotes continuous feedback, faster adaptation, and prioritisation based on real impact. Without it, teams risk focusing on technical outputs rather than delivering meaningful customer or business value.
| Category | Description |
|---|---|
| People & Culture | Teams focus on output, not value impact. Little or no discussion of business outcomes. |
| Process & Governance | Success is measured by activity or volume. Value is not tracked post-release. |
| Technology & Tools | No systems to monitor real-time value. Telemetry focuses only on system health. |
| Measurement & Metrics | Value is assumed, not measured. No link between features and outcomes. |
| Category | Description |
|---|---|
| People & Culture | Outcomes are discussed occasionally, typically during retrospectives or reviews. |
| Process & Governance | Some initiatives define intended value, but tracking is manual or ad hoc. |
| Technology & Tools | Teams use reports or spreadsheets to track basic outcome indicators. |
| Measurement & Metrics | Outcome data is captured for a few features, but lacks consistency or depth. |
| Category | Description |
|---|---|
| People & Culture | Product and engineering define value metrics together for all significant work. |
| Process & Governance | Value metrics are part of the Definition of Done and reviewed during delivery ceremonies. |
| Technology & Tools | Dashboards show real-time value telemetry alongside technical health indicators. |
| Measurement & Metrics | All features are linked to measurable outcomes, and data is reviewed post-release. |
| Category | Description |
|---|---|
| People & Culture | Teams adapt based on live value data. Experimentation is informed by trends. |
| Process & Governance | Continuous improvement incorporates value signals and customer impact. |
| Technology & Tools | Platforms automatically collect and analyse value data with alerting thresholds. |
| Measurement & Metrics | Value trends inform product direction. Metrics drive investment decisions. |
| Category | Description |
|---|---|
| People & Culture | A culture of innovation and optimisation based on value data is embedded. |
| Process & Governance | Predictive insights and market trends drive proactive planning and investment. |
| Technology & Tools | Analytics tools surface emergent signals and automate decision triggers. |
| Measurement & Metrics | Value definitions are continuously refined based on customer behaviour and feedback. |