This standard ensures teams prioritise delivering working software frequently, even if it means releasing smaller, incremental value rather than waiting for fully complete feature sets. By embracing early delivery, teams gain faster feedback, reduce risk, and sustain momentum.
It supports the policy “Deliver Working Software Frequently” by favouring continuous progress and validated learning over striving for perfection. Without this mindset, teams risk delayed releases, misaligned solutions, wasted effort, and missed feedback opportunities that impede iterative improvement.
| Category | Description |
|---|---|
| People & Culture | - Teams target completeness prior to any release. - Frequent delivery seen as risky or unprofessional. |
| Process & Governance | - Work structured around large, monolithic releases. - Review and approval cycles are slow and batch-oriented. |
| Technology & Tools | - Branching and integration practices inhibit early delivery. - Limited tooling for incremental releases. |
| Measurement & Metrics | - No tracking of delivery frequency or feedback responsiveness. - Feedback loops are long or absent. |
| Category | Description |
|---|---|
| People & Culture | - Teams attempt smaller deliveries but still prioritise completeness. - Partial releases accepted with caution. |
| Process & Governance | - Delivery broken into phases, but major value delivered late. - Feature toggles used inconsistently or experimentally. |
| Technology & Tools | - Delivery pipelines exist but lack optimisation for frequent integration. - Tooling partially supports releases. |
| Measurement & Metrics | - Delivery frequency and deployment rates tracked intermittently. - Basic monitoring of release outcomes. |
| Category | Description |
|---|---|
| People & Culture | - Teams plan and deliver vertical slices of end-to-end value. - Shared understanding that early delivery benefits outcomes. |
| Process & Governance | - Work prioritised and structured explicitly for incremental release. - Feature toggles and safe release practices routinely employed. |
| Technology & Tools | - CI/CD pipelines implemented with automation enabling frequent releases. - Tools support feature management. |
| Measurement & Metrics | - Release frequency, rework rates, and feedback turnaround consistently monitored and analysed. |
| Category | Description |
|---|---|
| People & Culture | - Teams experiment with delivery cadence to optimise flow and feedback. - Product decisions informed by data from small releases. |
| Process & Governance | - Frequent delivery embedded into planning, prioritisation, and review cadences. - Release practices standardised and measured. |
| Technology & Tools | - Feature management tools fully support progressive rollout, rollback, and testing in production. |
| Measurement & Metrics | - Deployment frequency, lead time for change, and feedback latency tracked and optimised. |
| Category | Description |
|---|---|
| People & Culture | - Frequent delivery is the ingrained mindset and continual improvement focus. - Batch sizes continuously reduced to maximise validated learning. |
| Process & Governance | - Delivery structures adapt dynamically to maximise early feedback and flow. - Feedback loops actively inform roadmap and organisational changes. |
| Technology & Tools | - Advanced automation enables safe multiple daily deliveries. - Continuous optimisation of deployment tooling. |
| Measurement & Metrics | - Time to value and feedback-to-change cycle times continually reduced. - Delivery flow and impact metrics optimised organisation-wide. |