How can Cigna enhance its myCigna mobile app to provide more personalized health recommendations?

Introduction

To enhance Cigna's myCigna mobile app with more personalized health recommendations, we need to deeply understand our users, their pain points, and the app's current capabilities. I'll outline a strategic approach to improve the app's personalization features, focusing on user needs, technological possibilities, and business objectives.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking about the app's current personalization capabilities. Could you share what level of personalization the myCigna app currently offers?

Why it matters: Determines our starting point and identifies gaps in personalization. Expected answer: Basic personalization based on user profile and claims history. Impact on approach: Would focus on enhancing existing features vs. building new ones from scratch.

• Considering user behavior, I'm curious about the frequency and depth of app usage. What are the primary use cases and engagement metrics for the myCigna app?

Why it matters: Helps prioritize features based on user interaction patterns. Expected answer: Primarily used for claims tracking and provider search, with weekly engagement. Impact on approach: Would focus on integrating personalization into high-traffic areas of the app.

• Thinking about Cigna's broader objectives, how does enhancing personalization align with the company's strategic goals?

Why it matters: Ensures our solution supports overarching business objectives. Expected answer: Aligns with goals to improve customer satisfaction and reduce healthcare costs. Impact on approach: Would emphasize features that drive both user engagement and cost-effective care.

• Considering the competitive landscape, how does myCigna's personalization compare to other health insurance apps in the market?

Why it matters: Identifies opportunities for differentiation and industry best practices. Expected answer: Slightly behind competitors in terms of AI-driven recommendations. Impact on approach: Would prioritize innovative, AI-powered personalization features.