Taking over a complex evaluation project can be a daunting experience, especially when it happens unexpectedly. This article offers practical insights and actionable advice drawn from real-world experience, providing a roadmap for managing a smooth transition.

This infographic is for those who want to understand the differences between research and evaluation, especially when they are used simultaneously in programs. The infographic shows the main steps of research and evaluation, points out the main ways they are different, and gives helpful advice for managing programs that use both approaches.

Criteria Based Ranking is one tool evaluators can use to facilitate critical thinking and some level of precision in decision making. In this article, we explain what criteria-based ranking is and how we used it in developmental evaluation.

Data integration is a way of merging these data from different sources through mixed methods. In this article, we discuss how qualitative and quantitative data can be integrated at the study design level, methods, or analysis level.

So you've successfully gathered the data you need to evaluate your program. But how do you engage stakeholders and partners to ensure a thorough understanding of the results? A data party could be part of the answer!

Every evaluation is different, but there are a few topics that should be covered in every kick-off meeting.

Recognizing that equitable evaluation is an emerging area of work, this article aims to add to the growing discussion. While it does not include an exhaustive list of issues and strategies, it will help you introduce some changes to your evaluation practice.

It is ideal to have a data dictionary whenever you have quantitative data that will be used and shared by multiple people or groups. Without precise definitions, it is very easy to arrive at different results while using the same dataset. In this article, we focus on how evaluators can (and should) clarify details about the data being used for evaluation. In other words, how and why build an evaluation-specific data dictionary.