Unlock the secrets to using pie charts effectively with this step-by-step article! Learn how to transform your data storytelling by avoiding common pitfalls, mastering design best practices, and ensuring your visualizations convey clear, impactful insights.

Looking to integrate AI tools into your evaluation workflows? Our latest article offers a step-by-step guide on how to use AI tools like ChatGPT, Google Gemini, or Claude 3.5 for conducting an environmental scan. Learn how to streamline the process, from brainstorming topics to generating research questions and search strategies.

Streamline your data analysis process with our Analyst Quality Assurance Notes, Checklist, and Style Guide Template! This tool helps you document data-related assumptions, decisions, and analytic steps in one organized file.

Data protection in the world of evaluation is a must, especially when handling personally identifiable information (PII). Want to learn how to safeguard your data effectively? Discover the essential steps, including encryption and anonymization, to ensure your PII is shielded from unauthorized access, all while staying compliant with regulations.

In this first instalment of our Data Visualization Applications series, we'll guide you through the art of transforming raw data into compelling visualizations. We kick things off by delving into the power and simplicity of the bar chart. By following these steps and best practices, you'll elevate your charts to ensure your data speaks clearly and convincingly. Stay tuned for more insights and techniques in our Data Visualization Applications series.

Choosing the right type of chart to display your data can help to improve clarity among your readers and lessens the likelihood that your findings may be misinterpreted. With so many different types of charts and graphs, it can be tough to know where to start. This infographic is for anyone who wants to clearly display their quantitative data in a meaningful way but isn’t sure how to pick the best chart for the job.

A codebook for qualitative research is a stand-alone document that contains a list of themes, codes, and definitions that you are using in your qualitative analysis. This article outlines the structure of a qualitative codebook as well as steps to follow to create your own.

Data are only useful when used! They do no good buried in reports, sitting on shelves (or shared drives) hidden away. Data, particularly data from an evaluation, are begging to be discussed, contemplated, and put into action! This article discusses some ways to make sure your data are used.