Standard : End-to-end delivery time from code to customer is actively monitored and improved
Purpose and Strategic Importance
This standard ensures that organisations actively measure, monitor, and optimise the total lead time from initial code commit through to customer value realisation. Transparent visibility of end-to-end delivery time enables targeted improvements and sustainable flow acceleration.
It supports the policy “Shorten the Value Stream” by making delivery efficiency a key performance focus. Without this standard, delays and bottlenecks remain hidden, reducing responsiveness and increasing risk.
Strategic Impact
- Provides clear insights into delivery bottlenecks and inefficiencies
- Enables data-driven decisions to accelerate value delivery
- Supports alignment between engineering and business objectives
- Encourages continuous flow and reduces waste in the value stream
- Enhances customer satisfaction through faster time to value
Risks of Not Having This Standard
- Hidden delays and bottlenecks impede delivery speed
- Ineffective prioritisation and improvement efforts
- Misalignment between delivery performance and business goals
- Reduced competitiveness due to slow response times
- Lower stakeholder confidence and satisfaction
CMMI Maturity Model
Level 1 – Initial
| Category |
Description |
| People & Culture |
- Delivery time is not measured or visible to teams or leadership. |
| Process & Governance |
- No formal process for tracking or improving end-to-end delivery. |
| Technology & Tools |
- Limited tooling or dashboards for delivery metrics. |
| Measurement & Metrics |
- No metrics capture lead time or delivery flow performance. |
Level 2 – Managed
| Category |
Description |
| People & Culture |
- Basic measurement of delivery time exists but lacks consistency and depth. |
| Process & Governance |
- Some processes incorporate delivery metrics into retrospectives and planning. |
| Technology & Tools |
- Tools provide basic dashboards tracking cycle time and lead time. |
| Measurement & Metrics |
- Initial tracking of delivery bottlenecks and delays is performed. |
Level 3 – Defined
| Category |
Description |
| People & Culture |
- Delivery time monitoring is embedded in team practices and leadership reviews. |
| Process & Governance |
- Formal processes govern collection, analysis, and response to delivery metrics. |
| Technology & Tools |
- Integrated platforms provide comprehensive, real-time delivery performance data. |
| Measurement & Metrics |
- Metrics guide targeted continuous improvement initiatives. |
Level 4 – Quantitatively Managed
| Category |
Description |
| People & Culture |
- Data-driven management optimises delivery performance and flow efficiency. |
| Process & Governance |
- Delivery metrics inform resource allocation and process adjustments. |
| Technology & Tools |
- Advanced analytics identify systemic bottlenecks and predict impacts. |
| Measurement & Metrics |
- Quantitative links established between delivery time and business outcomes. |
Level 5 – Optimising
| Category |
Description |
| People & Culture |
- Continuous improvement culture drives delivery acceleration and flow optimisation. |
| Process & Governance |
- Governance adapts dynamically based on delivery performance data and trends. |
| Technology & Tools |
- AI-powered tools recommend process optimisations and predict delivery outcomes. |
| Measurement & Metrics |
- Organisational maturity in delivery monitoring drives sustained competitiveness. |
Key Measures
- Average end-to-end lead time from code commit to customer value
- Frequency and duration of delivery bottlenecks
- Improvements in delivery time over successive periods
- Correlation between delivery speed and customer satisfaction
- Team engagement with delivery performance data and improvement actions