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Does the choice of monitoring and evaluation (M&E) approaches and tools matter for adaptive programmes? In short, yes: monitoring, evaluation and learning (MEL) and adaptive management (AM) are intertwined. While programme monitoring data and evaluation results are not the only sources of evidence that programmes use for learning and iteration, they often are amongst most important ones — or at least they should be. Selecting what type of information to collect and analyse — and how — is...
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Itad has recently completed a strategic evaluation for Sida to help them work through how they can best manage programmes that are adaptive and apply systems approaches - the conclusions from the evaluation about what funders need to do to manage adaptively are of broader relevance.
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This is a series about Monitoring, Evaluating and Learning (MEL) whether sets of interventions/portfolios are adding more together than each one would produce on their own. In post 1, I pointed to coherence, the new OECD-DAC evaluation criteria as a way to bridge the ambition of bringing bigger change with the MEL world. In post 2, I shared 3 of 4 practical lessons I’ve learned in experimenting with MEL systems and exercises that focus explicitly on interactions of...
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The final blog in Nigel Simister's series on adaptive management and the M&E of complex projects and programmes.
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By Nigel Simister Adaptive management is a broad approach designed to support development or humanitarian programmes in complex or uncertain …
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Monitoring and Evaluation needs to be different to support the new generation of 'adaptive programmes' in aid. 4 M&E specialists in Tanzania explain how.
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Based on a recent discussion in Manila, Chris Roche reflects on how Monitoring, Evaluation and Learning can better support 'adaptive programming'.
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Development actors are embracing the concept and practice of adaptive management, using evidence to inform ongoing revisions throughout implementation. In this guest blog, Heather Britt, Richard Hummelbrunner and Jackie Greene discuss a practical approach that donors and partners can use to agree on what’s most important to monitor as a project continues to evolve.
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The first in a three-part series on adaptive aid.Lisa Denney clarifies the confusion.
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Chris Roche and Linda Kelly with six take-aways on what is being tried and learnt in setting up monitoring and evaluation frameworks for adaptive programs.
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New insights, opinions and perspectives on market systems development, from experts and practitioners.
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Some top adaptive management exponents give their top tips on how to distinguish spin from reality, when looking at an avowedly AM programme
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Over the last decade, the peace sector has been developing and adapting Monitoring and Evaluation (M&E) systems and tools to fit their contexts and ways of working. This evolution may hold some insights for the aid community in how to go beyond more traditional, backwards-looking M&E to navigate today’s volatile, interest-based world of politics and aid.
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Andrea Babon and Lisa Denney explore how learning partners - a common feature of aid programs - can operate and feed into programs.
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The UNDP has been exploring new approaches to M&E to better understand and address complex systems challenges. Traditional linear project-based planning and evaluation methods are insufficient for dealing with the unpredictable nature of such systems. The UNDP’s new Strategic Plan calls for a shift in M&E practices to align with the complexity of today’s global challenges. Key points from the blog post include: Learning and Adapting: There’s a need for continuous learning and adaptation in...
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About a decade ago, the development sector fell into the same trap the financial services industry did in the mid-1990s. We were all seduced by clever...
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Causal Link Monitoring (CLM) integrates design and monitoring to support adaptive management of projects. CLM helps project planners and managers identify the processes that are required to achieve desired results, and then to observe whether those processes take place, and how. Result-producing processes specify the causal links between results in a logic model or results framework—in other words, the processes between results. CLM focuses on how specific individuals or organizations use...
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