Designerrs Academy · End-to-End UX Case Study
CareEase
Role
UI/UX Designer
Timeline
July 2025 – Nov 2025
Tools
Figma, FigJam
Methods
Overview
Role & Responsibilities
Sole designer on this end-to-end project, part of the 3-month UX/UI Design from Scratch course at Designerrs Academy, working from a real-world brief under mentor guidance — owned every stage from research to testing.
Target Audience
Two groups: (1) working professionals seeking reliable home nursing for aging parents, and (2) people recovering from surgery or managing chronic illness who need ongoing home care and physiotherapy.
The Problem
As the elderly population grows, families struggle to find reliable, affordable, convenient home nursing care. Traditional healthcare lacks flexibility for routine tasks — medication, injections, wound care, physiotherapy — causing delayed treatment and added stress for patients and caregivers alike.
Define — Affinity Mapping
Sorted interview data into 6 groups: Feelings, Actions, Pain Points, Statements, Thoughts, Goals.
Top insights to keep:
Elderly family members hide health issues to avoid worrying their children → late detection
Distance/work creates guilt in caregivers who can't be physically present
Medication management is a constant struggle (doses, cost, shortages)
Users want tech that provides emotional comfort, not just tracking
Existing healthcare apps have small fonts, tiring logins, heavy jargon
Research — Secondary
Goals: understand how home healthcare workflows and caregiver-assignment work; identify gaps in accessibility, trust, and communication; explore user mindset around seeking care.
Competitive Analysis: Reviewed three existing home healthcare platforms — Apollo HomeCare, AlayaCare, and Care24 — to understand how they handle booking, caregiver visibility, and family communication.
Research — Primary
Interviewed 6 participants aged 20–50 (professionals, elderly individuals, caregivers) on pain points, trust concerns, preferences.
"I booked a nurse once through a local agency, but there was no way to track when she'd arrive or verify her credentials."
"I'd like to see caregiver ratings before booking, plus real-time tracking and health updates."
Journey Map
Mapped the primary persona's full journey — discovering services → receiving care → follow-up — to find where the experience breaks down.
Key friction points:
Booking: unclear service options/pricing, confusing scheduling
Finding the right support: poor categorization of caregivers/services
Ongoing care: no real-time updates on visits or treatment progress
How Might We
Turning research insights into design questions
How might we help families with smart scheduling and family task-sharing tools?
How might we help caregivers with voice pattern tracking (only for family person)?
How might we help caregivers enable quick status updates (voice notes/video check-ins) to reduce guilt when busy?
How might we help patients with instant doctor booking or teleconsultation feature?
How might we help elderly users with an easy-to-read option like a speaker icon, so if a person presses on that icon the message can be listened to instead of read?
How might we help elderly users with a guided "step-by-step" mode (mostly in voice assistance rather than reading)?
How might we help families by arranging a trusted nurse so the nurse can update daily health reports to the family members?
Ideate — User Flows
Two key flows designed:
Trusted Nurse/Doctor Booking: book nurse/doctor → verification → notifications to user + caregiver → home screen/dashboard with health updates and an SOS alert screen.
Voice pattern tracking (family-side only): AI monitors the elder's voice for distress → notifies caregiver → caregiver opens elder's dashboard → books a checkup or hits SOS.
User Flows:
Trusted Nurse/Doctor Booking:
Voice Pattern Tracking:
Site Map:
Design — Wireframes
Iterated low-fidelity wireframes (multiple versions), selected V2 for its clearer information hierarchy, then built high-fidelity screens.
Low - Fidelity Wireframes:
High - Fidelity Wireframes:
Style Guide
To create a calm, trustworthy, and comforting experience, a moodboard was developed using visuals focused on caregiving, emotional support, and family connection. From this research, a soothing yet reliable color direction was chosen.
Typography was designed for clarity and accessibility across age groups. Poppins was chosen for its high legibility and approachable character. A 12pt body text size ensures comfortable reading across different devices and environments.
Typography:
Poppins, 16, medium (Heading)
Poppins, 14, medium (Sub — heading)
Poppins, 12, regular (primary text)
Poppins, 10, regular (secondary text)
Poppins, 8, regular (captions)
Color Palette:
Final UI
Test — Usability Testing
Moderated testing, 4 participants from the target audience, given 3 realistic scenarios:
Scenario 1:
Your mother has high blood pressure, check his overall health condition.
Scenario 2:
Your mother needs a home nurse for regular injections. Book a nurse for her.
Scenario 3:
You are feeling slight discomfort in your chest and want to check your symptoms using an AI tool before consulting a doctor.
Key insight: users couldn't locate the AI tool (originally tucked in the top-left menu) so, I moved it to a floating AI button on the home screen for immediate access.
Final Prototype
Click the button below to explore the prototype.
Learnings & Takeaway
Through this project, I learned how important it is to truly understand users before designing. Talking to caregivers helped me see their struggles clearly, they need quick access to health updates and simple ways to take action when needed. Keeping things clear and easy to understand became the main goal.
The challenge was deciding which features were most important, because there were many ideas to explore. Focusing on essential actions like checking health status, connecting with family, and handling emergencies helped keep the design simple and useful. Overall, this project taught me how to balance user needs with clean and practical design decisions.