We focus on a simple problem.
Strong evidence still fails to change decisions.
Mission
We engineer evidence and AI-mediated outputs so they earn warranted trust in the settings where action is required.
A world where evidence earns trust in the context it's used.
Vision
Commitments drawn from 25 years inside pharmaceutical evidence generation.
What we stand for
Warranted trust over persuasion
We help evidence earn belief, not manufacture it.
Context beats abstraction
Evidence that works outside of the lab.
Clarity is a safety feature
If stakeholders can’t understand it, they can’t act on it safely.
Who benefits and who doesn’t is always a relevant question.
Equity in real-world use
Traceability by default
Every output should have a visible lineage.
Build things that ship
Practical artifacts that get used, not filed.
Founder
Steve Watt, MD, MPhil, MRCP
Founder & Principal, People’s Evidence Lab
Steve is a physician who spent 25+ years in pharmaceutical evidence generation and regulatory science at Pfizer, most recently as Head of Patient-Centered Research and Partnerships within Medical Evidence Generation. His work spanned benefit–risk assessment, patient-preference research, real-world evidence, and patient-centered drug development.
He founded People's Evidence Lab to address a problem he saw repeatedly from the inside: rigorous evidence that never reached the people who needed to act on it. PEL is building the methodology to close that gap — across healthcare, education, and AI governance.
Steve co-chairs the Innovation Track at Harvard's Division of Clinical Informatics (DCI) for the Patient-Powered Digital Health 2026 program, helping digital-health teams make their evidence land with the stakeholders who matter, and is an invited co-presenter at [MAPS — full conference title] in 2026.
Being a physician means he can speak to clinicians as a peer; 25 years in pharma means he can speak to evidence teams as an insider. PEL is built on that pairing.
Reusable learning, without exposing client specifics.
How we collaborate
We define artifacts and decisions up front, are careful with confidentiality and sensitive materials, and aim for reusable learning without exposing client specifics. We can work under NDA when appropriate, and we partner with researchers, institutions, and mission-driven organizations on pilot studies, evidence methodology, and trust-transfer challenges.