MERL design and evaluations
Support baseline, midline, endline, formative, process and impact work with methods, indicators, sampling and limitations made explicit.
Services
Turn programme and operational data into decisions people can defend.
We connect research methods, field operations, data quality and analysis so evidence becomes useful to leadership, programmes and communities.
Data collection and quality systems
Design digital forms, supervision, validation, consent and quality checks using tools such as DHIS2, KoboToolbox and REDCap where appropriate.
Business intelligence and dashboards
Build decision-oriented dashboards with clear definitions, permissions, refresh expectations and visible data-quality limitations.
Data engineering and analysis
Clean, map, transform and analyse operational or programme data so the output is reproducible and useful beyond a single report.
GIS and sector intelligence
Use geographic and sector views to answer a defined question, with aggregation and privacy controls appropriate to the evidence.
Scope questions
Before we start.
Do you only build dashboards?
No. A clear report, cleaned dataset, indicator framework or evaluation design may be the better outcome. We use dashboards when repeated decisions and updates justify them.
Can you work with donor reporting requirements?
Yes. We can map the required definitions, templates, evidence and reporting cycle before designing the collection or analysis workflow.
Start with a conversation
Let’s scope the work properly.
We will agree requirements, deliverables, responsibilities and support terms.