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	Outcome Harvesting	Contribution Analysis
Dziedzina	Public Policy	Public Policy
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	2012	2001
Twórca	Ricardo Wilson-Grau & Heather Britt	John Mayne
Typ	Retrospective, outcome-led evaluation approach	Theory-based approach to causal inference about contribution
Źródło pierwotne	Wilson-Grau, R., & Britt, H. (2012). Outcome Harvesting. Cairo: Ford Foundation MENA Office (revised November 2013).	Mayne, J. (2012). Contribution analysis: Coming of age? Evaluation, 18(3), 270–280.
Inne nazwy	OH, Wilson-Grau Outcome Harvesting	Mayne's Contribution Analysis, Contribution Story Analysis, Theory-Based Contribution Analysis
Pokrewne	4	3
Podsumowanie	Outcome Harvesting is a participatory evaluation approach, developed by Ricardo Wilson-Grau and Heather Britt, that identifies outcomes after they have occurred and then works backward to determine whether and how an intervention contributed to them. Instead of measuring progress against predefined targets, evaluators 'harvest' evidence of observable changes in the behaviour, relationships, actions or policies of social actors, then assess the program's contribution to each. It is designed for complex settings where cause-and-effect relationships are not fully understood in advance and outcomes cannot be specified ahead of time.	Contribution analysis is a theory-based evaluation approach that addresses the attribution problem — establishing whether and how an intervention made a difference — without relying on an experimental counterfactual. Developed by John Mayne from 2001 onward, it works by articulating the program's theory of change, gathering evidence along that chain, and then assembling a 'contribution story' that is progressively stress-tested against rival explanations. The aim is not statistical attribution but a credible, evidence-based conclusion that the program plausibly contributed to observed results, in the face of other influencing factors.