Coach AI voice assistant
Agora-powered conversations provide care suggestions, reminders, resources, and contextual support.
Caregiving Technology Case Study
HomeTeams AI Elderly Care Platform
An accessible caregiving platform with voice-based conversational AI, personalized care support, task coordination, secure communication, and training resources.
Home Care and Elderly SupportMobile Caregiving Application
Project Overview
From operational challenge to working product
HomeTeams is designed to improve coordination between caregivers, helpers, care receivers, and team leaders. The product brings scheduling, tasks, communication, resources, and AI-assisted support into a single mobile experience.
Coach AI uses Agora conversational AI to provide natural voice interaction, personalized care suggestions, reminders, and relevant resources while keeping accessibility and low cognitive load central to the experience.
Business Challenge
The problems the product needed to solve
Coordinate caregiving tasks, schedules, communication, and resources across different user roles.
Design voice and mobile interactions that remain clear and approachable for elderly users.
Maintain conversational context while handling speech variability, background noise, and ambiguous requests.
Introduce personalized AI support without losing empathy, user control, or practical usefulness.
Our Solution
A connected system designed for the workflow
The product experience was redesigned through stakeholder research, competitive analysis, low- and high-fidelity prototyping, usability testing, and A/B comparison.
Coach AI combines voice interaction, prompt engineering, context management, and empathetic conversational patterns. Supporting workflows cover task creation, secure group chat, care plans, tracking, reminders, and personalized training recommendations.
Key Features
Capabilities delivered through the platform
Care task management
Caregivers can schedule, update, track, and coordinate recurring or one-time care activities.
Secure team communication
Group messaging keeps caregivers, care receivers, and team members aligned around ongoing support.
Personalized care support
AI-assisted recommendations adapt care plans and resources using available context and feedback.
Training and resources
Helpers can access relevant videos and guidance to improve care delivery and confidence.
Accessible mobile UX
Voice-first flows, clear navigation, and reduced cognitive load support a wider range of users.
Technologies Used
Product and engineering stack
- Agora Conversational AI
- Natural Language Processing
- Prompt Engineering
- Context Management
- Voice Interfaces
- AI Recommendations
- Mobile UX
- Figma
- Interactive Prototypes
- Usability Testing
- A/B Testing
- Secure Messaging
Results & Impact
What the work made possible
Validated with representative users
Five-participant usability testing identified practical improvements across scheduling, AI interaction, messaging, tracking, and training.
Clearer caregiving workflows
The redesigned home, task, chat, onboarding, and AI experiences made important actions easier to find and complete.
More accessible AI interaction
Voice-first design, fallback behavior, and empathetic response patterns made Coach AI more approachable for care scenarios.
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