A few weeks ago, I shared a story in the Theory-to-Practice Brief about a qualitative analysis project that almost went sideways. The AI produced something polished, but it also fabricated quotes.
What saved the work wasn't a better tool but a more deliberate process.
This May, I'm teaching two skill sprints built directly from that experience. Each session is 90 minutes. Each focuses on one piece of using AI well in evaluation work.
Here's what's coming up:
Better Prompts, Better Answers: Using LLMs for Evaluation Tasks
Tuesday, May 12 @ 2:30pm ET
Practice writing prompts for three tasks you already do: drafting survey questions, summarizing findings, and sketching a logic model. You'll write, run, evaluate, and revise in real time.
Qualitative Analysis with AI: Getting Results You Can Stand Behind
Tuesday, May 26 @ 1:30pm ET
Learn a structured, step-by-step process for using AI to analyze open-ended survey data in a way that's rigorous, transparent, and auditable. You'll work through the full process live on a real practice dataset.
Both sessions are held via Zoom. All registrants receive two months' access to the recording. No prior AI experience is needed for either session.
If you've been curious about how to use these tools in your actual work and not just in theory, these sessions are designed for exactly that.
