Design & Evaluation
Evidence-built Theory of Change + Measurement & Evaluation
(traceable & audit-ready)
Best for: Program design and evaluation teams who need full results-based management support: logic, indicators, measurement, and evaluation planning — grounded in evidence.
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<h2 class="text-xs font-bold text-slate-900 dark:text-white uppercase tracking-widest mb-4">What you get:</h2>
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<span class="text-slate-700 dark:text-slate-300 leading-snug">An evidence-built Theory of Change decomposed into results pathways (explicit causal hypotheses you can test)</span>
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<span class="text-slate-700 dark:text-slate-300 leading-snug">Full traceability: pathway claims and linkages can be traced back to specific corpus sources (audit-friendly)</span>
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<span class="text-slate-700 dark:text-slate-300 leading-snug">A full performance measurement + evaluation framework: outcomes, indicators, data sources, baselines/targets where appropriate, reporting cadence, and roles (RBM-aligned)</span>
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<span class="text-slate-700 dark:text-slate-300 leading-snug">Clear assumptions, risks, and “what would change our mind” triggers (so learning is structured, not ad hoc)</span>
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<span class="font-bold not-italic text-emerald-600 dark:text-emerald-400 block mb-2 uppercase tracking-wider text-sm">What it enables:</span> Better-designed programs — and measurement/evaluation that matches how change is expected to happen.
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