手法を比較

	Most Significant Change	Outcome Harvesting
分野	Public Policy	Public Policy
系統	Process / pipeline	Process / pipeline
提唱年	2005	2012
提唱者	Rick Davies & Jess Dart	Ricardo Wilson-Grau & Heather Britt
種類	Participatory, story-based monitoring and evaluation technique	Retrospective, outcome-led evaluation approach
原典	Davies, R., & Dart, J. (2005). The 'Most Significant Change' (MSC) Technique: A Guide to Its Use.	Wilson-Grau, R., & Britt, H. (2012). Outcome Harvesting. Cairo: Ford Foundation MENA Office (revised November 2013).
別名	MSC, MSC Technique, Story-Based Monitoring, Davies-Dart Most Significant Change	OH, Wilson-Grau Outcome Harvesting
関連	4	4
概要	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.	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.