Collaborating, Learning, and Adapting Impact Measurement Learning Network: Findings on what to expect when you practice CLA

This turbulence is a critical component of a robust learning dynamic, as it creates pressure for staff to clarify their understanding of organizational practices and assumptions. Conflict and ambiguity can also lead to the refinement of organizational intentions and assumptions, much like a rock tumbler shapes and clarifies stones. Effective CLA relies on various mechanisms and practices, which can vary significantly from one organization to another. Each organization is unique, with diverse staff members who learn and contribute in different ways, and is constantly changing. As a result, practices that were effective in the past may need to be updated, and new mechanisms may need to be tested and tailored to fit the organization's specific needs. One size does not fit all when it comes to implementing CLA, and organizations must adapt their approaches to suit their unique circumstances. Data-enabled rapid decision-making and external collaboration with development partners are two examples of effective CLA practices. However, the specific approach will depend on factors such as the timeframe, resources, team members, goals, and other unique factors specific to the project. Helping teams navigate these differences can facilitate the contextualization of CLA to their work, making it more manageable and effective. Many practitioners may initially question the need for CLA, as they may believe that they are already practicing collaboration, learning, and adaptation. Research suggests that they may be right to an extent, as CLA draws on decades of experience on best practices. By building on existing practices and creating a language for teams to discuss their approach, CLA can help to identify gaps, barriers, and areas for improvement. This can lead to the development of more effective organizational processes and operations systems that support CLA. Institutional arrangements and operating systems are crucial enablers for CLA, and people are essential to its success. Organizations must be prepared for a dynamic process of finding what kinds of CLA practices work for their goals, and be willing to adjust their approaches as needed. By building from where teams are and leveraging the language of CLA, organizations can create a more supportive and effective environment for collaboration, learning, and adaptation.