Design the study, then everything around it.
An AI study designer. A brand starts with a product and a sentence about what it does. The designer walks them through seven steps: it sharpens the claim into something testable, reviews the published research, suggests how to measure the outcome, recommends a study design and sample size, and writes the protocol. The design challenge was trust. An AI that says "use 60 participants" is useless to a scientist unless it shows its working, so every recommendation explains itself in plain language, shows the statistical power behind it, and cites the studies it is based on (above). The brand stays in control: every criterion can be edited, and the sample size is a slider, not a verdict.
A protocol, not a chat transcript. The end of the flow is a document a review board recognizes: objective, participation criteria, sample size justification and references, in the structure an IRB submission expects. The team starts from a complete draft instead of a blank page, and refines it.
Recruitment from the same brief. Once a study exists, it needs people. Reputable Recruit reads the study and generates the recruitment landing page, on-brand imagery, an eligibility survey and a set of Facebook ads, so launching a study no longer waits on a designer. The team reviews and publishes rather than building each piece by hand.
A reason to keep checking in. A study is only as good as the data participants keep sending, and drop-off is the quiet killer of real-world studies. I designed the participant app around a daily rhythm, plus Heartbeats, a rewards system: every check-in and survey earns points, the balance is always visible, and points unlock gift cards in tiers. Heartbeats was designed and specced for launch, with an admin side for the study team to manage it.
Results researchers can defend. The dashboard follows every participant's wearable data, check-ins and surveys, and flags who is falling behind so the team can reach out before they drop. For each outcome it compares the experimental group with the control group over time and shows the statistics underneath: which test was used, the p-value and the effect size. The headline number is never shown without the evidence for it.