Plans and Frameworks 12
Logframes, theories of change, MEL plans, learning agendas and roles matrices.
Logframes, theories of change, MEL plans, learning agendas and roles matrices.
Score how well a deliverable links its data, indicators, or findings to specific decisions across five dimensions using AI. Use to assess MEL plans, indicator reference sheets, monitoring briefs, evaluation reports, learning agendas, and any deliverable that should drive action rather than only describe state.
Score the assumptions column of a logframe for completeness, testability, and link to causal logic. Paste the logframe to assess whether assumptions are doing their analytic job. Use this for the logframe or results framework column; for the assumptions section of a Theory of Change narrative see toc-assumptions-quality.
Score the means of verification (MoV) column of a logframe for source specificity, method appropriateness, and frequency clarity. Paste the logframe to assess whether the MoV column will guide data collection.
Score a logframe across five dimensions using AI. Paste your logframe into the prompt to get a structured quality assessment with dimension scores, evidence citations, and priority revisions.
Score the data flow diagram inside a MEL plan for completeness, role clarity, and feasibility. Paste the diagram (or its narrative description) to get a structured assessment with revision priorities.
Score the learning questions section of a MEL plan for strategic relevance, answerability, and decision-linkage. Paste the section to assess whether questions will drive learning that informs program adaptation.
Score a Monitoring, Evaluation and Learning plan across five dimensions using AI. Paste your MEL plan to get a structured quality assessment with dimension scores, evidence citations, and priority revisions.
Score the roles and responsibilities matrix inside a MEL plan for completeness, specificity, and feasibility. Paste the matrix to assess whether every M&E function has named ownership.
Score a Theory of Change across five dimensions using AI. Paste your ToC narrative or diagram description to get a structured quality assessment with dimension scores, evidence citations, and priority revisions.
Score the causal logic of a theory of change in five dimensions using AI. This is a focused component rubric for the causal pathway only, useful when a ToC is embedded in a logframe, MEL plan, contribution analysis, or adaptive management memo. For a holistic assessment of a complete ToC document including stakeholder engagement and presentation, use the theory-of-change-assessment rubric instead.
Score the assumptions section of a Theory of Change. Paste the assumptions to assess whether they are stated explicitly, testable, prioritized, and connected to specific causal links. Use this for the ToC narrative assumptions section; for the assumptions column of a logframe or results framework see logframe-assumptions-column.
Score whether the causal pathway in a Theory of Change covers the full logic from inputs to impact. Paste the ToC to assess gaps, jumps, and missing intermediate steps.