Challenge
The problem
Patients in Nigeria face long queues, transportation costs, poor hospital experiences and delays in receiving diagnostic results — discouraging timely care.
Research
Research
Conducted surveys with 70 respondents across professionals, mothers and students to surface the most acute pain points around diagnostic testing.
- Long waiting times at facilities
- Lack of convenience and travel cost
- Poor customer experience
- Trust and credibility issues with labs
Personas
Who we're building for
Needs convenient, time-efficient testing that fits around work.
Requires safe, home-based care while caring for a newborn.
Budget-conscious with a tight schedule — needs affordable, nearby tests.
Values trust and reliability from accredited labs.
Solution
The solution
A seamless mobile-first platform that lets patients search tests, compare accredited labs, book home sample collection and receive verified digital results.
Process
How I worked through it
- 1Discovery
Stakeholder interviews, competitive scan and JTBD framing to size the opportunity.
- 2User Research
Mixed-method study with 70 respondents — survey + 8 in-depth interviews.
- 3Personas & Flows
Four primary personas mapped to end-to-end user flows from search to result.
- 4PRD & Wireframes
Wrote the PRD, partnered with design on low and mid-fidelity wireframes.
- 5Prioritization
Applied MoSCoW across 20+ ideas to define a focused MVP scope.
- 6Roadmap & GTM
Built a Gantt-style roadmap with a phased go-to-market and pitch deck.
Prioritization
MoSCoW
- · Test search
- · Lab listings
- · Booking
- · Home collection
- · Digital results
- · Notifications
- · User dashboard
- · Lab ratings
- · Subscription plans
- · Family profiles
- · In-app consultations (v1)
- · Insurance billing (v1)
Frameworks
Tools & frameworks
Metrics
Outcomes
Reflection
Lessons learned
- Anchor scope ruthlessly — MoSCoW kept the MVP focused on the painful path.
- Trust is a feature: labs accreditation badges materially shifted user confidence.
- Notifications closed the loop and were the #1 requested addition post-prototype.
