Measuring Impact in the Age of AI
This 3-hour hands-on lab focuses on using AI as an accelerator — not a replacement for judgment. Participants will work with a prepared education dataset and learn how to:
Clean and organize large datasets quickly
Analyze multiple data points efficiently
Compare cohorts and track pilot progress
Generate structured summaries for funders and boards
Create repeatable reporting workflows
AI does not decide what matters. You do.
AI helps you move faster through the mechanics — so you can test pilots more iteratively, adjust programs sooner, and keep funders up to date with real-time data.
This session is designed for:
EdTech founders running pilots
Nonprofit leaders managing outcomes
Program operators responsible for reporting
You will leave with a practical workflow to shorten your reporting cycle and strengthen pilot feedback loops.