Why has League's Health Savings Account enrollment rate dropped by 15% over the past quarter?

Introduction

The recent 15% drop in League's Health Savings Account enrollment rate over the past quarter is a concerning trend that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term and long-term implications for our product strategy.

Step 1

Clarifying Questions (3 minutes)

• Considering the timing, I'm wondering if there have been any recent changes to the HSA product or enrollment process. Have we implemented any updates or modifications to the HSA offering in the last 3-4 months?

Why it matters: Recent changes could directly impact user behavior and enrollment rates. Expected answer: Yes, we made some UI changes to the enrollment flow. Impact on approach: If changes were made, we'd focus on analyzing their impact on user experience and conversion.

• Looking at the enrollment funnel, I'm curious about where we're seeing the biggest drop-off. At which stage of the enrollment process are we seeing the most significant decrease in user progression?

Why it matters: Identifying the specific pain point in the funnel can help us target our efforts more effectively. Expected answer: The drop-off is most significant at the plan selection stage. Impact on approach: This would guide us to focus on improving the plan selection interface and information presentation.

• Considering market dynamics, have there been any notable changes in competitor offerings or marketing strategies during this period?

Why it matters: External factors could be influencing user decisions and perceptions of our HSA product. Expected answer: A major competitor launched a new HSA product with lower fees. Impact on approach: We'd need to reassess our value proposition and potentially adjust our pricing or features to remain competitive.

• Thinking about user segments, I'm wondering if this decline is uniform across all user groups or if it's more pronounced in specific demographics. Do we have data on how the enrollment rate has changed across different user segments?

Why it matters: Understanding which segments are most affected can help us tailor our solutions more effectively. Expected answer: The decline is more significant among younger users (25-35 age group). Impact on approach: We'd focus on understanding the needs and preferences of this specific age group to improve our offering.