An AI femtech platform for menopause

Build for individual users while closing a broader gap. Reliable menopause support is scarce, and that scarcity feeds wider gender health disparities. The design had to work at both levels at once.

A one-month sprint, user-centered from day one.

• 01
  Kickoff workshopAligned stakeholders on scope and urgency in a single working session.
• 02
  User and stakeholder interviewsIn-depth conversations with menopausal women, healthcare providers, and B2B clients surfaced individual stories and systemic gaps.
• 03
  Product backlog200+ user stories, prioritized so development tackled real user concerns first.
• 04
  Journeys and personasFive personas spanning end users, B2B customers, and internal stakeholders, with complete journeys.
• 05
  Competitive benchmarkingFeature mapping and user flows of competitor solutions to find where to differentiate.

Two hard problems. Designing an AI experience that feels empathetic rather than clinical for a sensitive health topic. And building a visual identity strong enough to carry the brand yet flexible enough to whitelabel.

Delivered in one month: a prioritized 200-story backlog and roadmap, 80+ proof-of-concept screens articulating the full experience, five personas and complete journeys, branding and style guides built for empathy, trust, and whitelabel flexibility, and interview findings grounding every decision.

• 01
  Designing for the underserved pays offA neglected user group meant every research insight translated directly into product differentiation.
• 02
  Empathy is a process, not a toneInterviews with real users and providers shaped the backlog, the flows, and the visual language.
• 03
  Speed and rigor can coexistA 200-story backlog, five personas, and 80+ screens in one month, without skipping the research.
• 04
  Whitelabel constraints sharpen brandingDesigning for flexibility forced clearer decisions about what the brand's core actually was.

Let's build
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