Policy Library
Policy evidence from official statistics, legislat…
Five data standards that shape policy evidence. Create five cards that show how apparently technical data choices determine what policy questions can be answered. Each card should pair one data infrastructure concept with its practical consequence for researchers or decision makers.
Representative sampling turns displacement data into population evidence, not just project monitoring. Core EGRISS identification questions make refugees and IDPs classifiable and comparable across countries. Rich questionnaire metadata lets analysts map evidence gaps by theme, such as labor, financ...
ViewWhat stops evidence from shaping public policy?. Synthesize the research supply and policy demand gap, including motivated reasoning and the need for capability, opportunity, and motivation across levels of government. Present a practical diagnostic for public-sector teams to identify whether evidence use is blocked by skills, systems, incentives, or decision culture.
Why evidence fails to shape policy The OECD report argues that the core problem is not a shortage of research: policy-relevant knowledge is often abundant, but it is still difficult to connect that supply to what policy-makers actually need, so the report emphasizes strengthening the demand side for...
ViewWhen should governments use randomized trials in policy design?. Build a scenario-based knowledge check on randomized trials, counterfactuals, quasi-experimental methods, cost-effectiveness, feasibility, ethics, data access, and skills. Keep the emphasis on choosing the right evaluation method rather than promoting trials as universally superior.
Q1. A ministry wants to know which of two housing support models is most cost-effective for improving the same outcome. What is the best evaluation choice? - Run a randomized trial only and ignore costs - Use an economic evaluation that combines a robust impact estimate with programme costs - Choose...
ViewLearning or accountability: what should policy evaluation prioritize?. Break down the recurring debate over whether evaluation should mainly support learning or accountability. Show why the practical answer is usually a balanced design that protects independence while keeping findings usable for improvement.
Policy evaluation keeps running into the same fight: should it mainly prove performance for accountability, or help people learn and improve policy? WHO and OECD say that is a false choice; the goal is both[[cite:1]][[cite:2]]. WHO says evaluation should be conducted as systematically and impartiall...
ViewFive tests for whether government evaluation systems are usable. Create five cards covering institutional mandates, evaluation quality, impact on decisions, data access, and skills for evidence use. Include the 79 percent central evaluation guidelines finding as one concrete anchor where appropriate.
Evaluation systems are useful but uneven across government. Clear institutional mandates are needed so evaluations are conducted and used systematically across government. On quality, the OECD says 79% have adopted central evaluation guidelines, but that passage does not prove those guidelines speci...
ViewHow should governments build evaluation into the policy cycle?. Synthesize the recurring design principles for evaluation systems: ex ante planning, ex post review, proportional methods, stakeholder engagement, data governance, central support, and decision links. Include a practical checklist for analysts distinguishing a credible evaluation system from a compliance exercise.
Embedding evaluation throughout the policy cycle The WHO and OECD sources converge on a simple test: evaluation should be built in from the start, carried through implementation, and then used again in later decisions, rather than treated as a one-off compliance product.[[cite:1]][[cite:2]] - Plan e...
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