Data-driven improvement involves the systematic processes of problem definition, root cause analysis, implementation and monitoring/ evaluation.

Data-driven improvement is achieved through:

- Mapping business inputs, activities and outputs.

- Co-designing business improvements and relevant data collection protocols.

- Designing improvement monitoring and evaluation frameworks.

- Change managing process improvements.

- Gathering and analysing data to test intervention success.

- Modifying improvement efforts based on evaluation findings.