What features could eHealth add to its prescription drug coverage calculator to provide more personalized recommendations?

Introduction

To improve eHealth's prescription drug coverage calculator and provide more personalized recommendations, we need to focus on enhancing user experience and leveraging data-driven insights. I'll outline a strategic approach to address this challenge, considering user needs, technological capabilities, and market trends.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking about the primary use case for the calculator. Could you clarify if users typically use this tool when switching insurance plans or for ongoing cost management of their current prescriptions?

Why it matters: Determines if we focus on comparison features or long-term tracking capabilities. Expected answer: Primarily used during insurance plan selection. Impact on approach: Would prioritize features that aid in decision-making during enrollment periods.

• Considering user behavior, I'm curious about cross-platform usage. Are users primarily accessing the calculator via mobile devices or desktop computers?

Why it matters: Influences the design and functionality of new features. Expected answer: Roughly 60% mobile, 40% desktop usage. Impact on approach: Would emphasize mobile-first design while ensuring desktop compatibility.

• Regarding product lifecycle, where does the calculator stand in terms of user adoption and market penetration? Are we looking to expand our user base or increase engagement with existing users?

Why it matters: Helps determine if we should focus on acquisition or retention strategies. Expected answer: Moderate adoption, looking to increase engagement and retention. Impact on approach: Would prioritize features that encourage repeated use and provide ongoing value.

• Considering company alignment, what are the key business metrics that this improvement initiative is expected to impact?

Why it matters: Ensures our solutions align with broader company objectives. Expected answer: Increase in user retention and customer lifetime value. Impact on approach: Would focus on features that provide long-term value and encourage regular engagement.