Behavioral design
Nudges, choice architecture, and decision supports built for healthcare settings where trust, clarity, and timing matter.
Content design shapes the experience; behavioral science explains why people act on it. I work at that junction — pairing content design craft with an MPH in Health Behavior to turn digital health products, patient-facing and clinician-facing alike, into interventions that change what people actually do, not just what they see.
My work spans patient and clinician experience, experimentation, and content strategy — translating complex health decisions into clear, actionable moments that improve outcomes.
I bring together experimentation, digital product thinking, health communication, and research rigor to build interventions that are credible, measurable, and useful in real healthcare contexts.
Nudges, choice architecture, and decision supports built for healthcare settings where trust, clarity, and timing matter.
Randomized and quasi-experimental evaluations, A/B testing, and multivariate optimization for engagement and behavior change.
Evidence-based content ecosystems for clinicians, patients, and public audiences, aligned to measurable learning and engagement goals.
Partnership across editorial, product, research, clinical, and executive teams to move strategy from idea to implementation.
A career shaped by digital health, patient communication, clinician engagement, and applied behavioral science across startup, nonprofit, and academic environments.
A repeatable process I bring to behavioral problems, whether the audience is patients, clinicians, or product teams. See it applied below in two full case studies.
Map the end-to-end path someone takes to reach a decision. Find where intent breaks down: confusion, distrust, bad defaults, or a missing nudge at the moment it matters.
Bring in advisory boards, subject-matter experts, and real users before locking content. Their language and lived experience shape what gets built, not just what gets reviewed.
Turn the diagnosis into a concrete intervention: new content, a changed flow, a different default, or a format the audience will actually use.
Build evaluation in from the start. Use what worked (and what didn't) to refine the next round of content, flows, and stakeholder recommendations.
Deeper looks at how I diagnosed a behavior gap, worked with the people affected by it, and what changed as a result.
Clinician attention is scarce and skeptical. Generic editorial content wasn't earning engagement from the Women in Medicine community, and top-down topic selection kept missing what these physicians actually wanted to talk about.
The content that performed best wasn't written for the audience — it needed to be written by them, and it needed formats built for physicians to actually contribute, not just read. That meant rethinking sourcing, format, and distribution together, not any single fix.
Editorial team selects topics internally; content is about the audience, engagement is flat.
Advisory board sources and vets prompts; an essay contest turns physicians into contributors, not just readers.
Metric reflects the combined engagement effect of the essay contest, its distribution plan, and original video programming — not attributable to any one piece alone.
Young men who have sex with men are a high-risk, historically underserved population for sexual health education. Most existing content was either clinical and cold, or moralizing and unusable — neither approach changed behavior.
The credibility gap was as much about tone as accuracy. If the app didn't speak the audience's own language about dating, hookups, and relationships, the safety and health content inside it would go unread.
Sexual health content for this audience defaults to clinical warnings or avoidance — both get ignored.
Consent, boundaries, and abuse content delivered in the audience's own voice, with a clear point of view: “If it's not a yes, it's no.”
The program was independently evaluated in a randomized trial and a follow-up engagement study, both peer-reviewed. In plain terms: men who used the app were significantly less likely to report condomless receptive anal sex than a control group (26.7% vs. 45.7%), and were less likely to forgo condoms for the sake of emotional connection with a partner — the specific decision point the app's cognition-and-emotion framing was built to address (Rendina et al., AIDS and Behavior, 2019).
A second study looked at how depth of engagement, not just login frequency, tracked with behavior change. Users who viewed more content within the app showed larger drops in internalized homophobia and in how much they relied on dating apps for hookups. At 90-day follow-up, reported past-month sex partners dropped from 2.39 to 1.15 and experienced online discrimination fell sharply — while how often someone logged in, on its own, did not predict these changes. The sessions people actually read mattered more than how often they opened the app (Moody et al., JMIR Public Health and Surveillance, 2022).
My background combines public health training with years of applied work in healthcare communication, digital intervention design, and program strategy.
Happy to walk through additional case studies, writing samples, or a full resume on a call.