shipped field record
Long-Term Impact Research
I worked at TalkingPoints from 2022–2026. Each project lists its own dates, so some begin later within that span.
- Problem
- Product decisions needed stronger evidence about long-term student outcomes.
- My role
- Built privacy-conscious analysis infrastructure and research datasets.
- Shipped
- Repeatable impact-analysis pipelines and conversation research tooling.
- Proof · 2026-07
- Moved impact conversations from intuition toward inspectable evidence.
Public systems
Research infrastructure for impact analysis. Clio-inspired conversation analysis pipeline. Dialogue segmentation, utterance role labeling, privacy-preserving NLP at scale.
Materials & technology
Links
Frequently Asked Questions
How do you handle the challenge that correlation isn't causation?
Carefully. We're explicit about what the analysis can and can't prove. Correlation with controls for observable factors is a start, but it's not a randomized trial. The goal is to move from 'we think we help' to 'here's evidence that's consistent with helping.'
How does this research influence product decisions?
It shifts conversations from opinion to evidence. Instead of 'we think feature X helps,' we can say 'students whose families received feature X had Y% fewer absences, controlling for Z.' That's a different kind of argument.