MY ROLE: Product Strategy & Design Lead
AI-Integrated Research, UX/UI, and Product Vision
DURATION: 2025–Present
Initial 3-week sprint from hypothesis to validated concept. Now evolving into MVP development, early outreach, and continued validation.
OBJECTIVE: Use AI-enhanced research and data-informed design to define a product vision for Vela, a hormone-aware strength and mobility platform for women in perimenopause, menopause, and healthy aging.
Originally developed as a design case study, Vela is now advancing toward prototype testing and early user validation.
This process explores how intelligent workflows, biofeedback, and wearable integrations can support personalized midlife wellness, reveal unmet user needs, and inform more adaptive health experiences.
For women navigating perimenopause and menopause, the body becomes more unpredictable—and yet most wellness and fitness tools ignore this critical life stage.
Outdated Models: Most fitness apps are built around male or fertile-cycle physiology, offering advice that doesn’t reflect midlife realities.
Disconnected Data: Hormonal, fitness, and recovery metrics remain siloed, leaving women with incomplete or confusing guidance.
Midlife Blind Spot: Perimenopausal users remain underserved and without the guidance or personalization they need to thrive.
To move quickly and validate user needs in a lean, evidence-based way, I used an AI-enhanced workflow to map the opportunity space, synthesize insights, and craft the product strategy.
Conceptual research summary. For design exploration only and not intended to represent final product capabilities or claims.
With a strong problem space defined, I focused on turning real-world data and wearable inputs into first draft wireframes so that user flows could quickly be tested and refined.
As I received positive feedback on the case study and spoke with women navigating midlife transitions, it became clear this work needed to move beyond the conceptual phase—which is what sparked the product build currently in motion.
While several AI tools offer rapid prototyping capabilities, they often fall short on visual nuance, usability rigor, and brand cohesion. In this stage, I leverage AI as a starting point—not a substitute—combining automation with deep design expertise to deliver high-fidelity, user-validated, and on-brand UI for the initial product iteration.
Conceptual prototype created for experience design, brand, and feature vision. Functionality may not reflect final product or data sources.
• Defined a focused product concept at the intersection of women’s health, strength training, behavior change, and healthy aging
• Translated menopause-related user needs into a clear product strategy, UX direction, and early MVP framework
• Developed experience patterns for adaptive guidance, habit formation, progress tracking, and confidence-building
• Used AI-enhanced research and design workflows to accelerate synthesis, concept development, and product iteration
• Established a foundation for continued MVP development, user outreach, and early validation