Search

  • Dylomo

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

    Viewing learning materials, such as previously recorded webinars, at your own pace.
    Method
  • W.K. Kellogg Foundation logic model guide

    The W.K. Kellogg Foundation Logic Model Guide shows how to develop a results chain model.
    Resource
  • Iterative design and monitoring for adaptive management: How causal link monitoring can help

    Development actors are embracing the concept and practice of adaptive management, using evidence to inform ongoing revisions throughout implementation.
    Blog
  • 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
  • Causal Pathways introductory session: Causal link monitoring

    This session of the Causal Pathways Symposium 2023, by Heather Britt, introduced causal link monitoring, a method for integrating monitoring data and evaluation in order to address causality amid complexity.
    Resource
  • Causal link monitoring brief

    Causal Link Monitoring (CLM) integrates design and monitoring to support adaptive management of projects.
    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
  • Causal link monitoring

    Causal link monitoring (CLM) is an approach to designing and implementing monitoring, evaluation and learning (MEL) systems that prioritise information for managing adaptively in complexity.
    Approach