Start with the organisation, not a predefined tool.

Each engagement begins by understanding the programmes, existing systems, reporting requirements, team capacity and operating context.

Three connected areas

Becoming data-driven requires more than software. Organisations need appropriate systems, people with the skills and confidence to use them, and routines that make evidence part of programme management. A weakness in any one area limits the value of the others.

01

Data infrastructure

Systems for data capture, storage, processing, quality assurance, analysis, visualisation and reporting.

02

Data capacity

Training, documentation and technical support so teams can use tools correctly, interpret results and manage data quality.

03

Data culture

The shared expectation that data will be reviewed, questioned and used—not only collected for reporting. This includes regular reflection, openness about results and decisions informed by evidence.

Designed for practical use

We specialise in working with nonprofits and purpose-driven organisations. Experience implementing systems in rural and resource-constrained settings informs decisions about connectivity, digital literacy, field workflows, training and maintenance—so the system can be used in day-to-day work.

Bespoke and fit for purpose
Designed around programmes, users, reporting requirements, operating context, budget and existing capacity.
Simple and robust
Complexity is added only where it improves the system or reduces manual work.
Built for real conditions
Systems are tested for day-to-day use, including rural, field-based and low-connectivity contexts.
Integrated
Programme logic, indicators, collection, databases, analysis and reporting are linked as one system.
Flexible and adaptable
Systems are designed with a flexible structure, allowing them to be modified, extended or expanded as programmes, reporting requirements and organisational needs change.
Sustainable and maintainable
Systems are designed so teams can confidently manage, use and maintain them independently over the long term.

First step

Review what is working and identify priority gaps.

Free Data and M&E Diagnostic