Explain how program activities lead to change and test assumptions.
Prompt Library
- Planning a ProgramTheories of change, logframes, MEL plans, stakeholder maps and data use plans.
- IndicatorsChoosing indicators, writing definitions, reference sheets and SMART checks.
- Collecting DataSurveys, interview and focus group guides, sampling and data quality checks.
- Analysis and EvaluationEvaluation designs, matrices, terms of reference, and analyzing what came back.
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Structure results, indicators, evidence, and assumptions in a matrix.
Plan what to measure, how, when, and who is responsible.
Connect evaluation questions to evidence, criteria, and methods.
Turn program objectives into measurable, time-bound indicators.
Define each indicator's measurement and reporting rules.
Prioritize learning questions and how to use the findings.
Connect program data to the people and decisions needing it.
Map stakeholders by their interest, influence, and role in M&E.
Build a justified budget for M&E staffing, data, and reporting.
Show how activities and outputs lead to outcomes and impact.
Plan how to collect and respond to community feedback.
Report program activities, results, challenges, and next steps to donors.
Present evaluation methods, findings, and recommendations clearly.
Condense an M&E document while preserving evidence, caveats, and priorities.
Document a program success, challenge, or lesson through a structured case.
Set the scope, questions, and methods for an external evaluation.
Capture implementation lessons and organize them for future program use.
Draft a proposal's M&E approach, indicators, and supporting budget.
Plan how to share findings with donors, teams, communities, and partners.
Check a logframe's logic, indicators, assumptions, and completeness for gaps.
Identify an existing MEL plan's biggest gaps and practical revisions.
Test causal links and assumptions and identify needed revisions.
Check indicator wording and measurement against agreed definitions.
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