Evaluationsdesign

Evaluationsdesign, commonly referred to as evaluation design, is the planning process that specifies how an evaluation will be conducted to assess a program, policy, or intervention. It defines the purpose, stakeholders, evaluation questions, data requirements, methods, timing, and analytic approach. A clear design links the program theory to evidence collection and helps ensure that findings are credible, relevant, and usable for decision makers.

Key components include articulating the intended use of findings, developing evaluation questions, and outlining a theory of change or logic model. The design also selects an evaluation approach (formative, process, summative, or outcomes-focused) and a study design (experimental, quasi-experimental, or non-experimental). It specifies data sources and instruments, sampling strategy, data collection procedures, ethical safeguards, and a data analysis plan. Feasibility, cost, and potential biases are considered to balance rigor with practicality.

Common evaluation designs range from randomized controlled trials to quasi-experimental methods such as difference-in-differences, regression discontinuity, and matching, to non-experimental approaches like pre–post designs and qualitative case studies. The choice depends on context, ethics, and resources. Effective evaluation design also addresses validity threats, ensures reliability of measures, and includes a plan for timely reporting and utilization by stakeholders. Overall, a well-crafted design guides data collection, analysis, and interpretation to support learning and accountability.