(Reiya)
CareLink
UI/UX · Product Manager · Thesis
As the population ages, families increasingly take on primary caregiving roles.
Yet most caregivers lack medical training and struggle to interpret changes in an older adult’s physical condition, behavior, and emotions.
They also find it hard to make sense of fragmented information, leading to:
Who Is User?
The AI-Driven Care Insight Dashboard serves family caregivers needing daily clarity, remote relatives tracking trends, and professional caregivers seeking reference data, helping all users understand changes, spot risks, and make informed decisions.
The AI-Driven Care Insight Dashboard provides family caregivers with daily clarity, remote relatives with trend tracking, and professional caregivers with reference data, helping all users understand changes, spot risks, and make informed decisions.
The AI-Driven Care Insight Dashboard is designed to empower non-professional caregivers in complex, high-pressure caregiving situations. Its key objectives are to help users:
Product Functions
Design Guidelines
Login: Role-Based Context Switching：
This screen allows caregivers to select their role (Partner, Child, Professional), ensuring the dashboard's content and alerts are immediately relevant to their specific caregiving context.
This two-step flow first collects the caregiver's account details, then the care recipient's information. This separation reduces initial complexity and clearly establishes the core care relationship.
Hierarchy of Alert → Insight → Action prioritizes critical status, then trends, then daily tasks.
Time selector adapts context from urgent monitoring to long-term planning.
Consistent visual design enables quick scanning with low cognitive load.
Emotion Module Design：
Time-based emotion trends using the same unified filter for consistent period review.
Today’s mood emoji with AI summary to intuitively show status and provide context.
Calming video cards for accessible emotional support within the app.
Uses a side drawer for contextual editing without leaving the timeline view.
Replaces direct emoji selection with adjustments to three core health dimensions (sleep, activity, comfort), reinforcing the underlying cause of the mood.
Employs simple inputs (e.g., sliders) that provide immediate visual feedback through the updated emoji.
A filter system organizes tasks by ownership and time period, while clear visual tagging highlights overdue items. Native gestures and a contextual editing drawer ensure intuitive interaction, with a completion graph tracking weekly progress.
Medication Design Rationale
Cards sorted by refill urgency in a horizontal scrollable layout, featuring a clear "days left" tag.
Separate entry point for historical medications to keep the main view focused on current needs.
AI-powered adherence insights provide missed-dose trends, refill alerts, and a compliance chart.
Community Module Design Rationale
Layered symptom-to-support flow – Organizes content into search, tagged symptoms, and professional help for guided navigation.
Risk-prioritized visual cues – Clear Low/Medium/High tags help users quickly gauge urgency.
Dedicated symptom reference view – Provides a clean, glanceable list for quick lookups without leaving the context.
Community Module Design Rationale
Layered symptom-to-support flow – Organizes content into search, tagged symptoms, and professional help for guided navigation.
Risk-prioritized visual cues – Clear Low/Medium/High tags help users quickly gauge urgency.
Dedicated symptom reference view – Provides a clean, glanceable list for quick lookups without leaving the context.