This post is based on a real email conversation, but the numbers here have been changed. We believe this is an important conversation, and that the entire non-profit sector — as well as funders — might benefit from considering factors like the ones discussed below. Enjoy!
JESSE: As a data scientist, I sometimes struggle to strike a balance between stating our results with pure scientific rigor and communicating our impact in a way that’s easy to understand. The way we measure adoption, we’d need to be looking at ≥317 households in this cohort to be able to justify the decimal place in saying 91.1% for adoption.