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Company focus

Turtlemint

Why has the average time spent on Turtlemint's health insurance comparison tool decreased by 20% since the latest update?

Prepared by NextSprints

12 mins
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Data Analysis Problem Solving User Experience Design InsurTech FinTech Digital Insurance User Engagement Product Metrics A/B Testing Root Cause Analysis InsurTech
Product Management Root Cause Analysis Question: Investigating decreased usage time of health insurance comparison tool

Introduction

The recent 20% decrease in average time spent on Turtlemint's health insurance comparison tool is a concerning trend that requires immediate attention. This analysis will systematically identify potential root causes, validate hypotheses, and propose targeted solutions to address this issue. We'll examine both internal and external factors, considering technical, user behavior, and product-related aspects to develop a comprehensive understanding of the situation.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might be a correlation with the latest update. Could you provide more details about the nature and scope of this update?

Why it matters: Understanding the changes made can help pinpoint potential causes. Expected answer: Information about feature changes, UI/UX modifications, or backend updates. Impact on approach: Directs focus to specific areas of the product affected by the update.

  • I'm curious about the user segments affected. Has this decrease been observed across all user groups, or are there specific segments showing more significant changes?

Why it matters: Identifies whether the issue is universal or segment-specific. Expected answer: Breakdown of affected user segments or confirmation of universal impact. Impact on approach: Helps tailor solutions to specific user groups if necessary.

  • Considering the metric itself, has there been any change in how "average time spent" is calculated or measured since the update?

Why it matters: Ensures the observed change is not due to measurement discrepancies. Expected answer: Confirmation of consistent measurement methods or details of any changes. Impact on approach: Validates the reliability of the data we're analyzing.

  • I'm wondering about any concurrent external factors. Have there been any significant changes in the health insurance market or competitor offerings during this period?

Why it matters: Helps distinguish between internal issues and external influences. Expected answer: Information on market trends or competitor actions. Impact on approach: Determines the extent to which external factors need to be considered in our analysis.

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Updated Jan 22, 2025