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Why has the average session duration for WebMD Health Services's personalized health assessment decreased by 2 minutes since the latest app update?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving User Experience Healthcare Digital Health Mobile Apps User Engagement Analytics Root Cause Analysis Health Tech App Updates
Product Management Root Cause Analysis Question: WebMD Health Services app update affecting health assessment duration

Introduction

The recent decrease in average session duration for WebMD Health Services's personalized health assessment by 2 minutes since the latest app update is a concerning trend that requires immediate attention. This metric is crucial as it directly correlates with user engagement and the effectiveness of our health assessment tool. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

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 this might be related to the app update. Can you confirm when exactly the update was released and if the decrease in session duration started immediately after?

Why it matters: This helps establish a clear timeline and potential causation. Expected answer: The update was released on [specific date] and the decrease was noticed within a week. Impact on approach: If aligned, we focus on update-related issues; if not, we broaden our investigation.

  • I'm curious about the nature of the update. Were there any significant changes to the user interface or flow of the health assessment?

Why it matters: UI/UX changes could directly impact user behavior and session duration. Expected answer: Yes, we streamlined the assessment process to make it more user-friendly. Impact on approach: If yes, we'll focus on UX design and user journey; if no, we'll look at backend or content-related issues.

  • Considering user segments, has this decrease been consistent across all user groups or are there specific demographics more affected?

Why it matters: Helps identify if the issue is universal or specific to certain user types. Expected answer: The decrease is more pronounced among older users. Impact on approach: If segmented, we'll tailor solutions to specific user groups; if universal, we'll look at broader systemic issues.

  • I'm wondering about the completion rate of the health assessment. Has that metric changed along with the session duration?

Why it matters: Helps distinguish between efficiency improvements and potential user disengagement. Expected answer: Completion rates have remained stable. Impact on approach: If stable, we might be dealing with an efficiency gain; if decreased, it indicates a more serious engagement issue.

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NextSprints

Updated Jan 22, 2025