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In my last blog on theory-based Monitoring Evaluation and Learning (MEL), I explained why relationships matter, and how to assess change…
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Global efforts to improve energy access and quality and to tackle climate change need a different approach to addressing poor energy governance. In 2015, leaders from around the world agreed to 17 Sustainable Development Goals (SDGs) to be achieved by 2030.1 The seventh goal (SDG7) is “Ensure access to affordable, reliable, sustainable and modern energy for all.” In the same year, the world’s leaders concluded the Paris Agreement to tackle climate change, which will require a global...
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The CLARISSA Social Protection Intervention was set us as an innovative social policy intervention for tackling social ills, with a...
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This paper explores the peer-reviewed evidence base of “traditional” technology-enabled monitoring, evaluation, research, and learning (MERL Tech) in international development assistance from 2015 to 2019. The authors conducted a scoping review that searched seven databases, screened 3,054 reference titles and abstracts, coded 886 abstracts, and extracted and analyzed conclusions and recommendations from the full texts of 256 studies. The findings reveal the most frequently reported...
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Getting serious about systems change
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Realist evaluation has, over the past two decades, become a widely used approach in evaluation. The cornerstone of realist evaluation is to answer the question: What works, for whom, under what circumstances, and why. This is accomplished by explicating the causal mechanisms that, within a particular context, generate the outcomes of interest. Despite the central role of mechanisms in realist evaluation, systematic knowledge about how the term mechanism is conceptualized and operationalized...
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The Outcomes Stars are a suite of evidence-based outcomes measurement and keywork tools, which drive an ‘enabling help’ approach to service delivery. They support a person-centred, collaborative and trauma informed approach and give service users, workers, managers and commissioners vital information about needs and progress. Since the first version was published in 2006, the unique features of the Outcomes Star contributed to its popularity and widespread use, with over 1,000 organisations...
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What is Rapid Action Learning and how was it developed?Sanitation Learning Hub - 2020, September 22
To celebrate the publication of our latest Frontiers of Sanitation, we had a series of conversations with our colleagues and partners on our work on Rapid Action Learning so far. To download the publication in full, head to https://sanitationlearninghub.org/res...
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Development cooperation has spent decades wrangling over the merits, evidence, and implications of what we may term “the learning hypothesis”: the idea that increased knowledge by development organisations must logically lead to increased effectiveness in the performance of their development activities. Organisations of all stripes have built research and monitoring and evaluation (M&E) departments, adopted a multitude of knowledge management systems and tools, and tinkered with...
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On June 24th under GLocal’s UNConference, “Co-creating our future stories of hope and action”, Jindra Cekan, Holta Trandafili, and Isabella Jean presented their work on sustainability evaluations and exit strategies via local voices. We chaired a 2-hour discussion session on the following topics: Sustainability of global development projects and exit from them, The importance of valuing local partners’ and participants’ voices, How to embed ex-post evaluation of sustainability into the...
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External consultants, learning partners or critical friends -whatever we call them- can seldom change the system or organisational (learning) culture from outside. So, how can Monitoring Evaluation and Learning (MEL) consultants support real change instead of creating tools or processes that are quickly forgotten without any real institutional ownership? Consultants and learning partners can seldom change a learning system or organisational culture – it just does not work like that. What...
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- The United Kingdom’s Foreign, Commonwealth and Development Office (FCDO)’s standard economy, efficiency, effectiveness/cost-effectiveness and equity (4E) framework is still relevant for approaching, measuring and managing value for money (VfM) for adaptive programmes. • However, this framework needs to be reframed to capture and incentivise flexibility, learning and adaptation. • VfM appraisal and reporting should be done in a way that draws on beneficiary feedback and informs good...
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What’s in the guide? This new document provides: An overview of the VfI approach, including the conceptual principles and processes underpinning it A worked example of the approach in action: evaluating the Youth Primary Mental Health and Addictions initiative in New Zealand Transferrable learning for others considering the use of the VfI approach.
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Sensemaking and Participatory Narrative Inquiry (PNI) are similar approaches, based on collecting stories about a real life experience from a large number of stakeholders on a topic of interest to the evaluation, and giving the storytellers themselves the responsibility for analyzing and making sense of the stories. Because a large number of stories are collected and self-interpreted, it is possible to conduct quantitative analysis of recurrent themes, perspectives and feelings emerging in...
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What can middle-level theory do? Middle-level theory (MLT) has several uses in development planning and evaluation. It helps predict whether a programme can be expected to work in a new setting. It offers insights into what design features are needed for success. It provides invaluable information for monitoring to see if the programme is on track and to fix problems that arise. It reveals the causal processes and related assumptions to be tested in an evaluation and helps identify...
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While many knowledge workers may fear that the rise of artificial intelligence (AI) will threaten their jobs, this article argues that small evaluation businesses should embrace AI tools to increase their value in the marketplace and remain relevant. In this article, consultants from a research, evaluation, and strategy firm, Intention 2 Impact, Inc., make a case for using AI tools to disrupt business as usual in evaluation from theoretical and practical perspectives. Theoretically, AI may...
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Programmes that aim to tackle complex societal issues, such as the worst forms of child labour, require rich partnerships that bring together different perspectives. CLARISSA’s consortium partnership adopts an empowerment approach to the interventions we deliver and our ways of working together. Part of this approach involves ongoing reflection and learning about how we work together in our partnership, and how this can be adapted if needed. This learning note focuses on a method used in...
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Applied agricultural research institutes play different roles in complex agricultural innovation processes, contributing to them with other actors. To foster learning and usable knowledge on how research actions influence such lasting innovation processes, there is a need to identify the causal mechanisms linking these actions and the effects of the changes they enable. A participatory, theory-driven, ex-post evaluation method, ImpresS, was developed by the French Agricultural Research...
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This briefing note looks at how the United States Agency for International Development (USAID) Wildlife Asia programme has operationalised the concepts of adaptive rigour and adaptive management as part of its approach to collaborating, learning and adapting. As described by the Global Learning for Adaptive Management (GLAM) initiative, adaptive rigour is about ensuring that the data, information, methods, processes and systems that underpin adaptive management are robust, systematic and...
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The investigation of causal mechanisms has the capacity to provide donors and implementing institutions with a greater understanding of people's reasoning and reactions as they work with interventions. This chapter contributes to the literature by identifying behavioral mechanisms generated through engagement with climate-resilient agriculture interventions within a larger livelihood project in Ethiopia. It works through the steps that enabled the study to unpack the black box between the...
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