01
Student Pre-Read
A short introduction to Design For Impact, its principles, components, and a worked example.
Resources for teaching impact-centered statistical collaboration in consulting, statistics, and data science courses.
Instructors are welcome to adapt these materials to their own students, course structure, and teaching context.
A short pre-read, a focused class session, and practical follow-through can help students connect statistical work to the impact it is meant to enable.
Before Class
Assign the Student Pre-Read and ask students to reflect on a past or upcoming project.
During Class
Introduce the five components, work through a complete example, and give students time to practice applying the concepts.
After Class
Encourage students to experiment in their collaborations and reflect on how their analytical work translates into impact.
Use these resources together, or select the pieces that fit your course.
01
A short introduction to Design For Impact, its principles, components, and a worked example.
02
An editable presentation that instructors can adapt for their own classes.
03
A ready-to-use 50-minute lesson with objectives, suggested timings, classroom activities, and an optional extension.
04
A 10-point rubric for assessing students’ understanding of the five Design For Impact components.
05
The one-page blank artifact and companion reference with definitions, prompts, and guidance for the five components.
Have you taught Design For Impact or adapted these materials for your course? I’d love to hear about your experience.