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This five-step framework, developed and tested by a foundation, embeds learning in emergent systems change strategies. It prioritizes the testing of hypotheses and assumptions, uses learning questions, and calls for examining both confirming and disconfirming evidence. --- A framework for embedding learning in systems change strategies and for testing strategic uncertainties. Learning and evaluation approaches that accompany systems change efforts need to fit with and support the emergent...

The Reduced Access Analytical Methods (RAAM) toolkit is a practical resource designed to help humanitarian practitioners overcome monitoring challenges in reduced access environments. Reduced access can be caused by natural disaster, conflict, political instability, or other factors, and typically makes it difficult to conduct normal monitoring of program implementation. The RAAM toolkit offers technical and managerial tools for a menu of analytical methods that can fill information gaps...

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...

How can donors and grantees work together to create effective monitoring, evaluation, and learning (MEL) practices that drive field-wide transformation?

Large publicly funded programmes of research continue to receive increased investment as interventions aiming to produce impact for the world’s poorest and most marginalized populations. At this intersection of research and development, research is expected to contribute to complex processes of societal change. Embracing a co-produced view of impact as emerging along uncertain causal pathways often without predefined outcomes calls for innovation in the use of complexity-aware approaches to...

Research for development (R4D) funding is increasingly expected to demonstrate value for money (VfM). However, the dominance of positivist approaches to evaluating VfM, such as cost-benefit analysis, do not fully account for the complexity of R4D funds and risk undermining efforts to contribute to transformational development. This paper posits an alternative approach to evaluating VfM, using the UK’s Global Challenges Research Fund and the Newton Fund as case studies. Based on a...

In this blog we are sharing a digest of some of the many useful and innovative monitoring, evaluation and learning resources and efforts that have come through the M&E Sandbox in 2022. A lot of these resources have been shared by our community in response to the overwhelmingly positive feedback from the launch of the Sandbox (please keep them coming!). We hope you find it useful. We have grouped these efforts and resources under six broad questions: - How do we measure systems...

How can donors and grantees work together to create effective monitoring, evaluation, and learning (MEL) practices that drive field-wide transformation? The Open Society Foundation’s Fiscal Governance Program found success by focusing on six key approaches, including empowering grantees and relinquishing power. In 2021, an external close-out evaluation by Intention to Impact of the program (which ran for 7 years and gave over $150 million in grants) revealed something pretty remarkable—the...

How can we transform monitoring and evaluation (M&E) into a more adaptive, emergent process to address uncertainty and complexity in todays’ world? How do we move from compliance and accountability to learning – to support better, more timely, decisions? Join GEI Program Manager, Dugan Fraser, as he discusses these questions and others with Special Guest, Søren Haldrup, from UNDP's Strategic Innovation Unit where he manages UNDP's innovation facility and leads a new initiative called the M&E Sandbox.

This CDI Practice Paper by Tom Aston and Marina Apgar makes the case for ‘bricolage’ in complexity-aware and qualitative evaluation methods. It provides a framework based on a review of 33 methods to support evaluators to be more intentional about bricolage and to combine the component parts of relevant methods more effectively. It discusses two cases from practice to illustrate the value added of taking a more intentional approach. It further argues that navigating different forms of...

Calls for more ‘adaptive programming’ have been prominent in international development practice for over a decade. Learning-by-doing is a crucial element of this, but programmes have often found it challenging to become more learning oriented. Establishing some form of reflective practice, against countervailing incentives, is difficult. Incorporating data collection processes that generate useful, timely and practical information to inform these reflections is even more so.This paper...

In the CEDIL Methods brief, ‘Evaluating complex interventions: What are appropriate methods?’ we identify four types of complex development interventions: long causal chain interventions, multicomponent interventions, portfolio interventions, and system-level interventions. These interventions are characterised by multiple activities, multiple outcomes, multiple components, a high level of interconnectedness, and non-linear outcomes.

This landscape review on measuring and monitoring adaptive learning highlights the learning from five adaptive programming guidelines and toolkits and one implementation science framework to inform the monitoring and evaluation of adaptive learning. The introduction of adaptive learning processes and skillsets in global health programming is part of an emerging strategy to advance a learning culture within projects and teams to improve health program performance. The monitoring and...

Inclusive and rigorous peacebuilding evaluation is both vital and complex. In this blog we share examples of how we are innovating our methodologies to move towards participatory and adaptive practice.

A critical appraisal's of CEDIL papers on Evaluating Complex Interventions... A study was recently published by the Centre of Excellence for Development Impact and Learning (CEDIL) entitled Evaluating complex interventions in international development. This is the sort of title that raises great expectations. Complexity is a hugely popular theme and many of us are keen to know more about how to evaluate efforts that seek to achieve results amid complexity. In April 2021, CEDIL conducted a...

This article explores the challenges of monitoring and evaluating politically informed and adaptive programmes in the international development field. We assess the strengths and weaknesses of some specific evaluation methodologies which have been suggested as particularly appropriate for these kinds of programmes based on scholarly literature and the practical experience of the authors in using them. We suggest that those methods which assume generative causality are particularly well...

Issues of power are not new to program evaluation. What is new is a consideration of how programming uses insights into incentives that shape and adapt implementation. How should one evaluate in a way that explicitly assesses the ways in which a program considers power? One of the innovative topics deriving from the democracy and governance space is the approach of thinking and working politically (TWP) which is seeing increased use in development programming. TWP suggests different mental...

Evaluators who take a complexity-aware approach must consider tradeoffs related to theoretical parsimony, falsifiability, and measurement validity. These tradeoffs may be particularly pronounced with ex-post evaluation designs in which program theory development and monitoring frameworks are often completed before the evaluator is engaged. In this chapter, we argue that theory-based evaluation (TBE) approaches can address unique ex-post evaluation challenges that complexity-aware evaluation...