Strategy, Product Design, User Research, Product Discovery, Brand Design, Design Sprints, Design System, Data Visualization
Data Viz Collaboration:
Lindsey Poulter, @datavizlinds
Hesham Eissa, @hesheissa
Metabolon’s legacy products were static, antiquated, challenging to understand, and difficult to scale. How can we transform into a data-driven, product focused, “‘omics-as-a-service” platform?
I led external user research efforts, recruiting and interviewing current and former clients to understand their needs and environmental context. At the same time, I ran internal empathy workshops with our client-facing teams to develop a deep profile of our ideal user.
I initiated a Design Sprint effort, facilitating a group of 10+ through a week of design workshops, expert interviews and solution prototyping.
I led a team of three (two designers and one UI dev), through a product design process – gathering stakeholders for discovery sessions, creating and reviewing design ideation, and testing wireframe and high-fidelity prototypes.
We also worked heavily with data and visualization – developing data transformation methods and building working, proof-of-concept components for evaluation.
To support and scale product design and development, we invested in creating a comprehensive design system and data visualization strategy.
I collaborated with product owners and back-end developers to fully realize the product design – defining user stories, guiding feature development into Agile sprints, and approving final components. I also worked directly with Marketing and Sales to name the product and key features, and develop a launch campaign. I took a working demo directly to select clients to gather user feedback and refine the product roadmap.
