Make evidence travel.
We’re building the methodology and tools that help evidence earn trust—across healthcare, education, and AI governance.
The problem isn’t missing evidence. It’s evidence that doesn’t land.
Strong evidence fails to change decisions every day—not because it’s wrong, but because it lacks context, traceability, or clarity for the people who need to act on it. We call this the evidence-to-action gap. People’s Evidence Lab is building the methodology to close it—starting with active research in AI-enabled education and empathy measurement in large language models.
Three conditions that make evidence usable.
Clarity
If the people who need to act on evidence can’t understand it, it doesn’t matter how rigorous it is.
Contextual Fit
Evidence works when it’s shaped for the setting where decisions actually happen—not abstracted away from it.
Traceability
If you can’t see where the evidence came from and how it was built, you can’t calibrate how much to trust it.
Who we work with.
Teams where trust, safety, and adoption shape whether evidence gets used.
Medical Affairs and Evidence Generation leaders
Digital health product and data teams
Making RWE, PRO data, and benefit–risk evidence travel to formulary, regulatory, and clinical audiences.
Building trust into AI-enabled tools before deployment—not after.
Payers, HTA bodies, evidence intermediary stakeholders
Education and learning system decision owners
Helping the people who translate evidence for decision-makers do so with traceable methodology.
Supporting K–12 and higher-ed leaders adopting AI with evidence they can trust and explain.
We also work directly with patients, educators, students, and other people whose first-hand evidence rarely reaches the decisions that affect them.