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  • Dylomo

    Dylomo is a free, web-based tool that can be used to create interactive, online logic models.
    Resource

  • Discussion Paper: Innovations in Monitoring and Evaluation

    This discussion paper produced by the United Nations Development Programme discusses various innovations that are occurring in M&E, and the advantages and disadvantages of these methods.
    Resource

  • Evaluating the environmental impact of personal protective equipment (PPE) in the COVID-19 pandemic

    This Footprint Evaluation case study explores the feasibility and value of considering environmental sustainability in the evaluation of personal protective equipment (PPE) provisioning during the COVID-19 pandemic.
    Resource

  • Enhancing program performance with logic models

    Developed by the University of Wisconsin Extension service, this resource provides an introduction to developing and using a particular version of the results chain.
    Resource

  • W.K. Kellogg Foundation logic model guide

    The W.K. Kellogg Foundation Logic Model Guide shows how to develop a results chain model.
    Resource

  • Outcome harvesting

    Outcome Harvesting collects (“harvests”) evidence of what has changed (“outcomes”) and, working backwards, determines whether and how an intervention has contributed to these changes.
    Approach

  • 52 weeks of BetterEvaluation: Week 16: Identifying and documenting emergent outcomes of a global network

    Global voluntary networks are complex beasts with dynamic and unpredictable actions and interactions. How can we evaluate the results of a network like this? Whose results are we even talking about?
    Blog

  • Example outcome journal template

    This template is based on the original Outcome Mapping guidance, incorporating elements from Outcome Harvesting (e.g. significance) and allowing tagging to particular progress markers (rather than listing them all as the original does).
    Resource

  • Causal Pathways introductory session: Outcome harvesting for exploring causal pathways

    This session of the Causal Pathways Symposium 2023, by Carlisle Levine and Hippolyt Pul, introduces outcome harvesting, a method to collect evidence of what has changed and whether and how an intervention has contributed to these changes.
    Resource

  • Outcome harvesting

    This 27-page brief, written by Ricardo Wilson-Grau and Heather Britt, introduces the key concepts and approach used by Outcome Harvesting (published by the Ford Foundation in May 2012; revised in Nov 2013).
    Resource

  • Cosecha de alcances

    Cosecha de Alcances es una herramienta centrada en la utilización y altamente participativo que permite a evaluadores, donantes y gerentes de proyectos y programas identificar, formular, verificar y dar sentido a los alcances en que han inf
    Resource

  • Retrospective 'outcome harvesting': Generating robust insights

    This paper describes the use of the Outcome Harvesting approach to evaluate a global voluntary network.
    Resource

  • Discussion note: Complexity aware monitoring

    USAID’s Office of Learning, Evaluation and Research (LER) has produced a Discussion Note: Complexity-Aware Monitoring, intended for those seeking cutting-edge solutions to monitoring complex aspects of strategies and projects.  
    Resource

  • Cases in outcome harvesting

    This report from The World Bank documents the pilot of a program that examines the use of outcome harvesting and the Bank's results management approach to understand how change happens in complex environments.
    Resource

  • Theory maker

    This free and open-sourced web-based tool was made by Steve Powell as a quick and simple way of creating a theory of change. The information provided was supplied by Steve Powell.
    Resource

  • Causal Pathways 2023 Symposium and 2024 introductory sessions

    This series of webinars was first presented at the Causal Pathways Symposium 2023, which focused on "connecting, learning, and building a shared understanding of the evaluation and participatory practices that make causal pathways more visible"
    Resource

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