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This paper explores the current state of thinking among a range of aid actors (multilaterals, bilateral, applied scholars and international non-governmental organisations) on how to promote empowerment and accountability in fragile, conflict and violence affected settings. It seeks to identify trends, gaps and weaknesses in that thinking, and propose research questions and hypotheses to test. Three underlying sources of confusion are identified that are hindering progress on both...

This interview protocol was used for a research project on adaptiveness in technology for governance initiatives in Kenya. For more information, please read the research report at: Prieto Martin, P.; Hernandez, K.; Faith, B. and Ramalingam, B. (2017) Doing Digital Development Differently: Lessons in adaptive management from technology for governance initiatives in Kenya, MAVC Research Report, Brighton: Institute of Development Studies, ids.ac.uk/project/making-all-voices-count

The Success Case Method approach is useful for documenting stories of impact and for understanding the factors that help or hinder impact. It is particularly useful for uncovering the contextual forces that influence impact. Originally designed for evaluating corporate training programs, the Success Case Method is now being applied to other programs including international development interventions. Last year, I provided technical assistance to a pilot of the Success Case Method as part of...

There is a growing recognition that programs that seek to change people’s lives are intervening in complex systems, which puts a particular set of requirements on program monitoring and evaluation. Developing complexity-aware program monitoring and evaluation systems within existing organizations is difficult because they challenge traditional orthodoxy. Little has been written about the practical experience of doing so. This article describes the development of a complexity-aware evaluation...

This How-To Note describes considerations for developing a project logic model, as well as steps for thinking through a more complete theory of change (TOC). A logic model is a graphic or visual depiction that summarizes key elements of a TOC, and it is often used as a facilitation tool during the design process. There are many types of logic models, including but not limited to logical frameworks (logframes), results chains, results frameworks, and local actor-oriented models, among others....

In an effort to increase the understanding of conservation enterprises’ activities and outcomes and to improve the effectiveness of biodiversity programming, this brief synthesizes lessons from past USAID-funded efforts to support conservation enterprises

Causal Link Monitoring (CLM) 1 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.2 CLM focuses on how specific individuals or organizations use...

Adaptive management is at the heart of ‘doing development differently’ (Wild et al., 2016). Whether it is here to stay depends on how much it is mainstreamed into existing development programming by donors and implementers alike, especially in planning, monitoring, evaluation, and learning (PMEL) cycles. In this report, we find that mainstreaming adaptive management in PMEL involves three strategies: 1. planning for flexibility; 2. developing locally owned monitoring and evaluation (M&E);...

Many rural poor and marginalized people strive to make a living in social-ecological systems that are characterized by multiple and often inequitable interactions across agents, scale and space. Uncertainty and inequality in such systems require research and development interventions to be adaptive, support learning and to engage with underlying drivers of poverty. Such complexity-aware approaches to planning, monitoring and evaluating development interventions are gaining strength, yet,...

• This paper revisits how existing advocacy evaluation frameworks classify people and activities, and define and assess outcomes. We discuss how assessments could be more specific and propose bounding the scope of inquiry in one of four ways: strategy specific, outcome oriented, actor-centric or system-wide. • In classifying activities, the same action or event may be situated at different phases of the change pathway – in some cases used as a tactic to influence a policy outcome, and in...

In fields like climate and development, where the challenges being addressed can be described as “wicked”, learning is key to successful programming. Useful practical and theoretical work is being undertaken to better understand the role of reflexive learning in bringing together different knowledge to address complex problems like climate change. Through a review of practical cases and learning theories commonly used in the areas of resilience, climate change adaptation and environmental...

Political economy analysis is about understanding how change in relation to rule of law and international development is embedded within and shaped by political and economic relations that interact and are particular to each context. These political economy dynamics determine the distribution of power and resources within any given society and must be taken into account when attempting to achieve change. Political economy analysis is important in the justice sector because rule of law and...

The logical framework, otherwise known as a logframe, is a commonly used planning tool. Initially designed for use within simple projects, it is increasingly being applied to complex programmes and organisations. In these cases the logical framework has limitations. There are several options that can help overcome these limitations. These include expanding the logframe, and using multiple logframes.

The practice of using rigorous scientific evaluations to study solutions to global poverty is relatively young. Although researchers continue to advance our knowledge of the mechanisms at work, confusion about their role and value persists. Having evidence from specific studies is fine and good, but for policy makers, the point is not simply to understand poverty, but to eliminate it. Do decisions always need to be informed by evidence from the local context? What potential and limits do...