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Filter search resultsIf a picture paints a thousand words: The use of rich pictures in evaluation
In this e-book, Judy Oakden discusses the use of Rich Pictures in evaluation. In particular, she addresses why (and when) you should use rich pictures, and answers some of the common questions around the use of rich pictures.ResourceSoft systems methodology: a thirty year retrospective
Soft Systems Methodology (SSM) can be used to gain understanding of complex relationship drive situations and their contexts.ResourceBaseline basics
Baseline Basics is a short introduction to conducting a baseline study, focusing on the key concepts and practices, and pointing to additional resources for more detail.ResourceIterative 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.BlogDiscussion 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.ResourceCausal 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.ResourceCausal link monitoring brief
Causal Link Monitoring (CLM) integrates design and monitoring to support adaptive management of projects.ResourceCausal 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"ResourceCausal 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