Bringing 1,200+ voices into an AI chatbot

As the Assoc. Director of Product Design, I initiated and led a research partnership that gave Roo, an AI chatbot with more than 5 million conversations, a clear direction. I set it up to work for both sides. University of Georgia researcher Divya S. gained data for her academic work. Planned Parenthood gained a 1,200+ person study for $15K, the cost of recruitment, which I found in our existing budget.

5M+

Conversations on Roo since launch

$15K

Research budget, found inside existing funds

1,200+

Total research participants

3

Research publications

Collage of Roo’s design: a privacy screen promising user data is never sold or tracked, a sample chat with sexual health questions, a U.S. map and an age chart of users, and photos of teens using their phones.
Collage of Roo’s design: a privacy screen promising user data is never sold or tracked, a sample chat with sexual health questions, a U.S. map and an age chart of users, and photos of teens using their phones.

Turning ambiguity into direction

Turning ambiguity into direction

Roo had already held millions of conversations about sex ed, but no one agreed on how it should evolve. Meanwhile, health orgs around us were racing to add and optimize AI tools. It was tempting to keep pace, but I knew adding features without knowing what problems we were solving put users' trust at risk. We needed to hear from them first.

A national study usually needs its own budget. Instead, I built a partnership that worked for both sides. Divya S., a PhD researcher at the University of Georgia, gained data for her academic work. We gained a 1,200+ person study for $15K, the cost of recruitment. I found the money in unused funds within our own budget.

Divya and I bridging industry and academia, one conversation at a time

Divya and I bridging industry and academia, one conversation at a time

Bridging research, product, and people

Bridging research, product, and people

Every step went through IRB approval and Planned Parenthood’s legal and security review, which slowed our start. To speed things up, I brought in Nicole Levitz, Director of Digital Health Interventions & Insights, who had led a similar partnership before. Her experience helped us move faster, and her guidance helped me avoid common pitfalls.

Much of my role became translation: reviewing Divya’s research and matching academic timelines and priorities to product needs. As findings came in, I saw an opportunity for Elise Gust, a product designer on my team, to step into greater leadership. She led ideation and prototyping while I provided feedback and direction. She went on to co-author 3 research publications with Divya and was promoted shortly after.

Document and design comments between Naily, Divya, and Elise. Naily suggests edits to Divya’s survey questions and gives Elise feedback on privacy screens. Three onboarding screens read “Roo will never ask for your name or location,” “You’re in control,” and “Your chats help Roo improve.”

Shaping the work together

Document and design comments between Naily, Divya, and Elise. Naily suggests edits to Divya’s survey questions and gives Elise feedback on privacy screens. Three onboarding screens read “Roo will never ask for your name or location,” “You’re in control,” and “Your chats help Roo improve.”

Shaping the work together

From insights to impact

From insights to impact

Elise’s concepts went into usability testing, and the strongest carried into our roadmap. These included privacy indicators to build trust with users and exploring alternative education formats. The research gave the team an evidence-based direction for Roo. Because it was published, the findings now reach beyond Planned Parenthood and add to public knowledge on AI in digital health.

Key research findings: 52% of participants ranked privacy as their top priority, and 61% said accuracy was their biggest barrier to adoption. Visual cues like locks and checkmarks build trust. Symptom checker was the most requested new feature. Illustrations and infographics were the most preferred education format.

Letting user needs guide AI decisions

Key research findings: 52% of participants ranked privacy as their top priority, and 61% said accuracy was their biggest barrier to adoption. Visual cues like locks and checkmarks build trust. Symptom checker was the most requested new feature. Illustrations and infographics were the most preferred education format.

Letting user needs guide AI decisions

Looking back

Looking back

Two overlapping flower shapes, purple and red, meeting in teal.

What I'd do again

I’d build a partnership where both sides win. Divya gained data for her academic work, and as a nonprofit, we gained a study we couldn’t have afforded alone. That shared purpose kept the project moving, even when the process slowed us down.

Two overlapping flower shapes, purple and red, meeting in teal.

What I'd do again

I’d build a partnership where both sides win. Divya gained data for her academic work, and as a nonprofit, we gained a study we couldn’t have afforded alone. That shared purpose kept the project moving, even when the process slowed us down.

Two overlapping flower shapes, purple and red, meeting in teal.

What I'd do again

I’d build a partnership where both sides win. Divya gained data for her academic work, and as a nonprofit, we gained a study we couldn’t have afforded alone. That shared purpose kept the project moving, even when the process slowed us down.

Four arrows pointing inward toward a shared center.

What I’d do differently

I’d seek senior leadership’s view on the product’s future before starting. I built strong support at my level, but I didn’t check in with the executives shaping Roo’s long-term direction. Their input early on could have helped the research become more relevant for their long-term strategy.

Four arrows pointing inward toward a shared center.

What I’d do differently

I’d seek senior leadership’s view on the product’s future before starting. I built strong support at my level, but I didn’t check in with the executives shaping Roo’s long-term direction. Their input early on could have helped the research become more relevant for their long-term strategy.

Four arrows pointing inward toward a shared center.

What I’d do differently

I’d seek senior leadership’s view on the product’s future before starting. I built strong support at my level, but I didn’t check in with the executives shaping Roo’s long-term direction. Their input early on could have helped the research become more relevant for their long-term strategy.

Layered teal flame shapes nested inside each other.

What lasts

The research is published and will keep shaping how teams build AI in healthcare. Elise was promoted shortly after the project, and I’m proud to have created space for her growth. Divya and I are still close collaborators to this day, and we’d love to partner again at the next health organization I join.

Layered teal flame shapes nested inside each other.

What lasts

The research is published and will keep shaping how teams build AI in healthcare. Elise was promoted shortly after the project, and I’m proud to have created space for her growth. Divya and I are still close collaborators to this day, and we’d love to partner again at the next health organization I join.

Layered teal flame shapes nested inside each other.

What lasts

The research is published and will keep shaping how teams build AI in healthcare. Elise was promoted shortly after the project, and I’m proud to have created space for her growth. Divya and I are still close collaborators to this day, and we’d love to partner again at the next health organization I join.

A teal rounded square

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© 2026 Naily Nevarez

A teal rounded square

Get started

Let’s connect

© 2026 Naily Nevarez

A teal rounded square

Get started

Let’s connect

© 2026 Naily Nevarez