This standard ensures that teams use flow-based metrics to continuously evaluate and improve their delivery performance. Metrics such as cycle time, lead time, throughput, and work in progress (WIP) enable teams to identify bottlenecks, reduce waste, and make informed decisions based on real delivery data.
It supports our policies to “Make Continuous Improvement a Delivery Habit” and “Design Delivery Systems for Flow” by grounding improvement efforts in tangible evidence. Without this, improvement becomes subjective, disconnected from real delivery outcomes, and unlikely to produce sustainable results.
| Category | Description |
|---|---|
| People & Culture | - Teams rely on intuition or status updates rather than delivery data. - Improvement conversations are informal and inconsistent. |
| Process & Governance | - No standard metrics are collected to assess delivery health. - Improvement is reactive and driven by immediate issues. |
| Technology & Tools | - No use of delivery analytics or metric tooling. |
| Measurement & Metrics | - Flow metrics are not tracked or discussed. |
| Category | Description |
|---|---|
| People & Culture | - Teams begin capturing basic flow data (e.g. completed work items). - Some use of metrics in retrospectives or reviews. |
| Process & Governance | - Key metrics like throughput or cycle time are discussed periodically. - Improvements may be loosely tied to delivery observations. |
| Technology & Tools | - Basic reporting is enabled through agile tools or manual tracking. |
| Measurement & Metrics | - Metrics are tracked for reference, but not consistently analysed. |
| Category | Description |
|---|---|
| People & Culture | - Teams routinely review flow data to identify improvement opportunities. - There is shared ownership of delivery performance. |
| Process & Governance | - Teams use metrics to guide retrospectives and improvement experiments. - WIP limits, batch size, and variability are actively managed. |
| Technology & Tools | - Tools like Jira, Azure Boards, or custom dashboards are used for flow analytics. |
| Measurement & Metrics | - Metrics are visualised and used to compare trends and outcomes over time. |
| Category | Description |
|---|---|
| People & Culture | - Teams use metric insights to adjust processes in real time. - Leadership supports metric‑driven decision‑making. |
| Process & Governance | - Improvement hypotheses are based on metric patterns and validated by results. - Metrics inform strategic choices like team composition or workflow design. |
| Technology & Tools | - Automated data collection and dashboarding provide near real‑time insights. |
| Measurement & Metrics | - Metrics like lead time, cycle time, WIP, and throughput are tracked, benchmarked, and acted upon. |
| Category | Description |
|---|---|
| People & Culture | - Teams reflect on and evolve metrics to suit changing contexts. - Flow data informs technical, organisational, and product decisions. |
| Process & Governance | - Flow metrics are used to align across teams and improve systemic delivery. - Metrics are part of forecasting, capacity planning, and risk assessment. |
| Technology & Tools | - Advanced analytics, alerts, and predictive insights support continuous optimisation. |
| Measurement & Metrics | - Flow efficiency, blocker time, and improvement impact are actively monitored and optimised. |