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Outcome Harvesting×Most Significant Change×
المجالPublic PolicyPublic Policy
العائلةProcess / pipelineProcess / pipeline
سنة النشأة20122005
صاحب الطريقةRicardo Wilson-Grau & Heather BrittRick Davies & Jess Dart
النوعRetrospective, outcome-led evaluation approachParticipatory, story-based monitoring and evaluation technique
المصدر التأسيسيWilson-Grau, R., & Britt, H. (2012). Outcome Harvesting. Cairo: Ford Foundation MENA Office (revised November 2013). link ↗Davies, R., & Dart, J. (2005). The 'Most Significant Change' (MSC) Technique: A Guide to Its Use. link ↗
الأسماء البديلةOH, Wilson-Grau Outcome HarvestingMSC, MSC Technique, Story-Based Monitoring, Davies-Dart Most Significant Change
ذات صلة44
الملخصOutcome 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.The Most Significant Change (MSC) technique is a participatory, story-based approach to monitoring and evaluation developed by Rick Davies and refined with Jess Dart. It involves the systematic collection of stories of significant change from the field and the deliberative selection of the most significant of these by panels of stakeholders. There are no predefined indicators; instead, value judgements about what change matters most are made transparently by those involved, making MSC especially suited to capturing unexpected and qualitative outcomes in complex programs.
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ScholarGateقارن الطرق: Outcome Harvesting · Most Significant Change. استُرجع بتاريخ 2026-06-25 من https://scholargate.app/ar/compare