This course introduces evaluators and researchers to mixed methods inquiry. Incorporating mixed method approaches can allow for better understanding and solving of complex problems. Further, mixed methods engage diverse viewpoints.

Our brains are wired for stories. Therefore, the stories we integrate with our data can create more actionable information.

Are you a program officer tasked with overseeing the monitoring of your program? Are you wondering what this key component of the program management cycle is all about?

To promote evaluation use, evaluators must effectively analyze, integrate, interpret, and synthesize data into information that can be shared. We do our best to emerge with the most truthful narrative our data can tell.

Around the world, donors and implementers are trying to figure out how best to use emerging technologies like artificial intelligence (AI), blockchain, big data, and the internet of things (IoT) to support development efforts.

How do we know if our training programs are effective? How can we determine if they are achieving their intended results? In this course, participants will learn how to translate intended outcomes of training programs into measurable objectives that are evaluable.

We create evaluation reports for our audiences. Both our Program Evaluation Standards and AEA Guiding Principles for Evaluators compel us to report evaluation findings in ways that are honest, accurate, and actionable.