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Outcome mapping (OM) is a methodology for planning, monitoring and evaluating development initiatives in order to bring about sustainable social change. As the name suggests, its niche is understanding outcomes; the so-called ‘missing-middle’ or ‘black box’ of results that emerge downstream from the initiative’s activities but upstream from longer-term economic, environmental, political or demographic changes.
52 weeks of BetterEvaluation: Week 16: Identifying and documenting emergent outcomes of a global networkBlog12th April, 2013
Outcome Mapping and Outcome Harvesting: Planning, Monitoring and Evaluation For Complex Development ProgrammesEventCourse15th June, 2015 to 19th June, 2015ItalyPaid
The Bologna Centre for International Development and the University of Bologna's Department of Economics are holding their 10th Annual Edition Summer Training Programme on Monitoring and Evaluation. This year's programme includes two courses that focus on methods that are increasingly on the cutting-edge for planning, monitoring and evaluation in development situations characterized by a dynamic environment and unpredictable results: Outcome Mapping and Outcome Harvesting.
Outcome monitoring and learning in large multi-stakeholder research programmes: lessons from the PRISE consortiumResourceDiscussion paper2019
This discussion paper outlines the key lessons to emerge from designing and applying an outcome monitoring system to the Pathways to Resilience in Semi-arid Economies (PRISE) project - a five-year, multi-country, multi-project and multi-partner research consortium that generated new knowledge about how economic development in semi-arid regions could be made more equitable and resilient to climate change. The aim of this system was to continuously capture, analyse and understand changes in stakeholder behaviour and actions around the research activities and results, and how these changes can ultimately lead to sustained shifts in policy and practice.
EventCourse15th June, 2016 to 22nd June, 2016ItalyPaid
This course focuses on two methods for planning, monitoring and evaluation in dynamic environments where development results can be both planned and unanticipated. Outcome Mapping is a set of tools used for planning, monitoring and evaluating interventions aimed at bringing about social, economic or technological change. The idea is that to succeed, an intervention needs to involve multiple stakeholders. OM connects ‘outputs’ to ‘outcomes’ by focusing on the patterns of action and interaction among stakeholders. Outcome Harvesting is used to identify, formulate, analyse and interpret what was achieved and how, regardless of whether it was pre-defined or not. Conventional M&E can be inappropriate because what is done and what is achieved may vary considerably from the original plan. OH enables people responsible for monitoring and evaluating development work to identify and formulate intended and unintended, positive and negative outcomes, determine how the intervention contributed to them.
This book by Sarah Earl, Fred Carden and Terry Smutylo takes an original approach to assessing development impacts by focusing on the way in which people relate to each other and to their environment rather than simply evaluating the products a program produces. This book aims to improve the effectiveness of programs by proving information on how to be specific about the principle actors, the expected changes, and the strategies a program will employ. The steps involved in the outcome mapping approach are laid out and explained in this book, supported by detailed information on designing and facilitating workshops and a number of worksheets and examples.
Blog18th June, 2019
This guest blog by Tiina Pasanen and Kaia Ambrose discusses how the Pathways to Resilience in Semi-arid Economies (PRISE) project approached the challenge of coming up with an outcome monitoring system that considered the dynamics and complexities involved in a multi-project, multi-country and multi-partner research consortium and shares some key lessons to come out of this. Feature image credit: Lancelot Ehode Soumelong.