The Custom Assessment and Landscaping Methodology: Balancing Accountability and Learning in M&E Systems

The Custom Assessment and Landscaping Methodology Balancing Accountability and Learning in M&E Systems

Custom Assessment Landscaping Methodology (CALM): Balancing Accountability and Learning in M&E Systems shares one approach for developing tools and processes that increase the utility and impact of data for decision-making. It also shares case studies from our work with the UK’s Department for International Development (DFID) and the Government of Malawi to provide an overview of how implementing CALM supports the design of more balanced M&E data systems.

Understanding Data Use: Building M&E Systems that Empower Users

Understanding Data Use

The August 2018 paper, Understanding Data Use: Building M&E Systems that Empower Users, emphasizes how critical it is for decision-makers to consider users’ decision space – from the institutional all the way to technical levels – in achieving data uptake