Outcome Harvesting

Summer training course on Advanced Outcome Mapping and Outcome Harvesting

This is the 12th annual season of the Monitoring and Evaluation Professional Summer Training Programme for Development Experts and Practitioners. The focus this year is on two methods for planning, monitoring and evaluation (PM&E) - Advanced Outcome Mapping and Outcome Harvesting - that enable programme managers to plan, implement and report on their outcomes in dynamic environments where development results can be both planned and unanticipated. The two modules on Advanced Outcome Mapping and Outcome Harvesting are designed as tools for the adaptive management of complex development programmes, beyond the usual M&E methods of Result-Based M&E and the Logical Framework.

Outcome Mapping and Outcome Harvesting. Adaptive Management for Complex Development Programs

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. 

Outcome Mapping and Outcome Harvesting: Planning, Monitoring and Evaluation For Complex Development Programmes

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.

Cosecha de Alcances

Also Available In: English, Portugues

La Cosecha de Alcances recoge evidencia de lo que ha cambiado (alcances) y luego, trabajando hacia atrás determina si y cómo una intervención contribuyó a esos cambios.

La Cosecha de Alcances se ha comprobado ser útil en situaciones complejas cuando no es posible predefinir lo que una intervención va a lograr o, inclusive, tampoco las acciones específicas a ser tomadas a través de varios años. 

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Colheita de Resultados

Also Available In: English, Español

A Colheita de Resultados obtém-se evidencia do que mudou (os resultados) e logo, trabalha para trás para determinar se e como uma intervenção contribuiu para essas mudanças.

A Colheita de Resultados tem sido especialmente útil em situações complexas, quando não foi possível predefinir concretamente o que uma intervenção visa alcançar, ou até mesmo não pode predizer quais ações específicas serão tomadas ao longo de um período de vários anos.

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Outcome Harvesting

Also Available In: Portugues, Español

Outcome Harvesting collects (“harvests”) evidence of what has changed (“outcomes”) and, then, working backwards, determines whether and how an intervention has contributed to these changes.

Outcome Harvesting has proven to be especially useful in complex situations when it is not possible to define concretely most of what an intervention aims to achieve, or even, what specific actions will be taken over a multi-year period.

 

52 weeks of BetterEvaluation: Week 16: Identifying and documenting emergent outcomes of a global network

Kornelia Rassmann's picture 12th April 2013 by Kornelia Rassmann

Global voluntary networks are complex beasts with dynamic and unpredictable actions and interactions. How can we evaluate the results of a network like this? Whose results are we even talking about?