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In her acclaimed study of effective cross-organizational teamwork, Harvard Business School Professor Amy C. Edmonson concluded that “trying things that...

Process tracing is a causal methodology that can help people understand how a particular large-scale change actually happened within a complex dynamic environment. Much of the existing literature provides important information about the method; we wrote this brief to help more people operationalize the concepts and learn about practical steps for using this method more easily, with quality, and toward a more equitable world. This piece was written based on our experiences implementing...

Create a multilevel donut chart in excel -------------------------------------------------------------------------------- #exceltips #exceltutorials #excelcharts SUBSCRIBE: https://goo.gl/c46YPs Microsoft Office 365, Beta Channel, Version 2104 --------------------------------------------------------------------------------- IF YOU LIKED THIS VIDEO YOU MAY ALSO LIKE: - Recreating a pie chart from a newspaper in PowerPoint    • How to make a pie...

A fair amount has been written recently questioning the value added of theories of change. Have we gone through a hype cycle? Are they…

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.

This learning paper provides guidance to humanitarian innovators on how to use evidence to enable and drive adoption of innovation. Innovation literature and practice show time and time again that it is difficult to scale innovations. Even when an innovation is demonstrably impactful, better than the existing solution and good value for money, it does not automatically get adopted or used in mainstream humanitarian programming. Why do evidence-based innovations face difficulties in scaling...

How does Small Foundation think about the impact…

In all the jobs I have held, the only training that has ever stayed with me was a three-day course on logframes, held in a very pleasant beach hotel on Fiji’s beautiful coral coast. This was a few months after I joined what was then the Overseas Development Administration, DFID’s forerunner. Three days on logframes. Yes really. Our Pacific team were gathered together to learn this new skill. The course was designed not only to help us think rigorously about how change happens, but also to...

In community engagement and participatory processes, facilitators must make intentional efforts and adopt inclusive strategies to include marginalized and frequently overlooked groups. Yet, there is a lack of guidance on how to inclusively facilitate participatory processes. Facilitators are therefore often poorly prepared to engage with the power relations that underlie these processes, including those between the facilitator and participants and among participants themselves. This guide...

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.

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...

The Covid-19 Responses for Equity (CORE) programme was a three-year initiative funded by the Canadian International Development Research Centre (IDRC) that brought together 20 projects from across the global South to understand the socioeconomic impacts of the Covid-19 pandemic, improve existing responses, and generate better policy options for recovery. The research covered 42 countries across Africa, Asia, Latin America, and the Middle East to understand the ways in which the pandemic...

Achieving broad-based socio-economic development requires interventions that bridge disciplines, strategies, and stakeholders. Effective sustained progress requires more than simply an accumulation of sector projects, and poverty reduction, individual wellbeing, community development, and societal advancement do not fall neatly into sectoral categories. However, researchers and practitioners recognize key operational challenges to achieving effective integration that stem from the structures...

On December 13, 2022, Social Impact hosted a webinar in our Evidence for Impact series, "Strengthen Your Team's CLA Practices: Introducing the CLA Maturity Tool for USAID Implementers." Through the session, we shared more about the origin and history of the USAID tool upon which this version is based, why and how we updated

This chapter explores the use of mechanisms within the realist evaluation of the Building Capacity to Use Research Evidence (BCURE) program, a £15.7 million initiative aiming to improve the use of evidence in decision-making in low and middle-income countries. The evaluation was commissioned to establish not just whether BCURE worked but also how and why capacity building can contribute to increased use of evidence in policymaking in the very different contexts in which the program operated....

What problem is the KRT model trying to solve? For workforces that experience continuous staff turnover, the lack of systematic knowledge transfer can often lead to: - Loss of programmatic momentum, - Duplication of efforts and frustration, and - Wasted time and resources. The Knowledge Retention and Transfer (KRT) model provides tools, processes, and practices to individuals, teams, offices, and organizations to improve knowledge handover, which in turn improves efficiency and programmatic and operational learning.

Large language models (LLMs) are a type of generative artificial intelligence (AI) designed to produce text-based content. LLMs use deep learning techniques and massively large data sets to understand, summarize, generate, and predict new text. LLMs caught the public eye in early 2023 when ChatGPT (the first consumer facing LLM) was released. LLM technologies are driven by recent advances in deep-learning AI techniques, where language models are trained on extremely large text data from the...

This report addresses the well-recognized evidence gap1 on the longer-term impacts created by marketdriven programming; specifically, programming influenced by market systems development (MSD) principles. It does so by presenting the findings of an ex-post study conducted three and a half years after the close of USAID’s Feed the Future Senegal Naatal Mbay Activity (hereafter Naatal Mbay) in 2019. It examines the scale and sustainability of changes resulting from Naatal Mbay’s introduction...

How can we measure and learn when promoting systems change? It’s a challenge that has inspired Laudes Foundation to develop a rubrics-based methodology to help us, our partners and the wider field of philanthropy, understand our contribution to change, while learning and adapting to new and unforeseen circumstances. Change cannot be captured by numbers alone because metrics put the focus on what can be counted, not always what’s most important. Rubrics are a framework that set a standard...

In September of 2014, USAID’s Office of Learning, Evaluation & Research (LER) awarded the Learning and Knowledge Management (LEARN) contract to Dexis Consulting Group and subcontractor RTI International.1 This document—the End of Contract Report—captures five and half years of results and reflections for our stakeholders. Our intention is to share the good and the bad, and while this report would not be considered a “tell all,” we think we have a story worth sharing, particularly to USAID...