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Better questions. More useful evidence.

Designing evaluation and applied research around the decisions that matter.

Conceptual illustration of layers of research evidence

Define the use before the tool

A survey or interview is a method, not a purpose. Research design should start with the decisions a study needs to inform. Clear questions help align the evidence required, the people who need to be heard and the limits of what can responsibly be concluded.

Combine methods deliberately

Quantitative evidence can reveal patterns, while qualitative work can explain how people experience a program and why outcomes differ. Mixed methods are useful when each contributes to the research question and findings are examined together rather than presented as separate exercises.

Examine context and difference

Program performance is shaped by local conditions, institutions and access to resources. Gender and social inclusion analysis helps identify whose experience is visible in the evidence and whose may be missing. Sampling, consent and field quality checks all affect the credibility of findings.

Keep claims proportionate

Not every design can establish causation. A careful report explains what the evidence supports, what remains uncertain and where alternative explanations may exist. Evaluation criteria such as relevance, coherence, effectiveness, efficiency, impact and sustainability can structure inquiry without substituting for judgement.

Make learning actionable

Recommendations are more useful when they are connected to a specific decision, clearly prioritised and realistic for the institution expected to act. Sharing findings in accessible formats helps turn a completed study into an ongoing process of learning.

This is general thematic commentary informed by CASE’s service areas and published organizational profile. It does not reproduce confidential assignment findings or claim new project results.
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