Rapid Prototype Development: Health Navigator

The first phase of this project leveraged remote ethnographic research and competitor product testing to build an understanding of user behaviors, needs, and pain points across the consumer healthcare space. Phase 2 involved 2-3 weeks of iterative testing and brainstorming for an AI-powered symptom checker bot.

Problem:

RVO Health was uniquely positioned to build an AI-fueled tool to powerfully connect users to several owned offerings in the health space, but was missing direction and user context. Design and product teams concepted a research-informed symptom checker and had a very tight time frame before designs needed to be shipped and contracts with partners needed to be signed.

Methods:

• Phase 1:

  • 60 in-depth interviews using dscout (15 total participants, I personally led >40 interviews)

  • Usability tests of 3 unique search/AI tools

  • One diary-style upload per participant

• Phase 2:

  • Pre-research FigJam capture of participant recruitment criteria & questions

  • 8 45-minute moderated interviews using dscout & mobile Figma prototypes

  • Post-research FigJam brainstorm

Deliverables:

• Panel of “core” research participants

• Quick research summaries with actionable recommendations from in-depth interviews

• Q&A-style insights & research summary from prototype testing

Outcomes:

• Informed an in-development prototype & several larger initiatives

• Worked with Product to incorporate selected ideas into Next Steps spreadsheet & Product Roadmap

• Newly documented vendor requirements steered conversations with potential partners