How We Started

The idea behind Chronos AI was to build a smarter, more intuitive in-house platform for CVS Health — one that empowers teams to interact with healthcare data in a conversational, human way. Rather than relying on complex data tools, the goal was to design a modern dashboard that combines AI, chat-based data generation, and intelligent workflows, while staying scalable for future enhancements.

We aimed to deliver a versatile, AI-powered ecosystem that streamlines analytics, enhances decision-making, and provides healthcare professionals with a seamless digital experience.

Project Structure

1. Project Overview

Objective: Design an AI-powered internal application to simplify data interaction and reporting for CVS Health teams.

Target Audience: Healthcare professionals, data analysts, and CVS Health internal stakeholders.

Key Goals:

• Create a conversational chatbot for quick data/statistics generation.

• Develop an Intelligent Questionnaire Engine to streamline workflows.

• Provide a Health Hub as a central resource for analytics and preventive care.

• Design a scalable dashboard home that grows with new modules and features.

• Ensure accessibility, responsiveness, and ease of navigation.

2. Research & Discovery

User Research:

• Conducted stakeholder interviews to understand reporting pain points and data bottlenecks.

• Mapped user needs for faster access to insights without heavy manual processes.

Competitive Analysis:

• Reviewed existing healthcare dashboards and AI tools.

• Identified opportunities to merge AI-driven chat interaction with traditional reporting dashboards.

Key Insights:

• Users wanted speed and simplicity when retrieving reports.

• A personalized dashboard experience was necessary to reduce friction.

• Flexibility for future feature expansion was critical.

3. Information Architecture (IA)

Sitemap:

• Dashboard Home

• Chatbot for Data/Statistics

• Intelligent Questionnaire Engine

• Health Hub

• Settings & Configurations

User Flow:

• Pulling a dataset via chatbot.

• Completing dynamic questionnaires.

• Navigating Health Hub for resources.

• Customizing dashboard preferences.

4. Visual Design & High-Fidelity Prototypes

Design System:

• Colors: A modern healthcare palette — clean neutrals paired with accent tones for focus.

• Typography: Professional yet approachable — ensuring readability across dense data layouts.

• Iconography & Imagery: Minimal, intuitive, and accessible for diverse users.

High-Fidelity Prototypes:

• Designed responsive screens for all modules.

• Focused on clarity and reducing data fatigue.

• Used progressive disclosure to simplify complex tasks.

Interactive Elements:

• Smooth transitions between modules.

• Conversational chatbot interactions.

• Contextual tooltips and hover states for data clarity.

Key Features

• AI-Driven Chatbot: Generate reports, statistics, and insights in real-time.

• Intelligent Questionnaire Engine: Adaptive workflows for compliance and decision-making.

• Health Hub: A central hub for health analytics, preventive care insights, and curated resources.

• Scalable Dashboard Home: Personalized KPIs, contextual recommendations, and evolving modules.

• Settings & Configurations: Flexible customization for notifications, layouts, and integrations.

Key Takeaways (My Perspective as a Product Designer)

• User-Centered Approach: Focused on making complex healthcare data feel simple, conversational, and actionable.

• Attention to Detail: Designed a polished, scalable system that grows with CVS Health’s internal needs.

• Collaboration: Partnered closely with product managers, developers, and healthcare analysts to align business goals with user experience.

• Problem-Solving: Transformed data-heavy, time-consuming processes into a streamlined AI-powered dashboard experience.