A Practical Guide to Using Routine Data in Evaluation

This guide offers practical strategies for using routine data in program evaluation, focusing on improving data quality and analytical rigor. It emphasizes the importance of integrating routine data into evaluation frameworks and outlines best practices for data analysis, interpretation, and incorporation into decision-making processes. By strengthening the quality of routine data, the guide helps organizations develop more robust evaluations, leading to better program outcomes and more evidence-based decision-making. The guide is particularly useful for development and health programs aiming to build stronger data-driven approaches to monitoring and evaluation, ultimately improving the impact of their interventions.