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Company focus

LetsGetChecked

What caused the sudden 50% decrease in completion rates for LetsGetChecked's online health questionnaires last week?

Prepared by NextSprints

15 mins
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Problem Solving Data Analysis User Experience Design Health Tech Diagnostics Digital Health User Experience Data Analytics Root Cause Analysis Health Tech Troubleshooting
Product Management Root Cause Analysis Question: Investigating sudden drop in health questionnaire completion rates

Introduction

The sudden 50% decrease in completion rates for LetsGetChecked's online health questionnaires last week is a critical issue that demands immediate attention. This significant drop could have far-reaching implications for user engagement, diagnostic accuracy, and ultimately, the company's bottom line. To address this problem, 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 there might have been a recent product update. Has there been any change to the questionnaire interface or flow in the past two weeks?

Why it matters: Recent changes could directly impact user experience and completion rates. Expected answer: Yes, there was a minor UI update. Impact on approach: If confirmed, we'd focus on UI/UX issues in our analysis.

  • Considering user segments, I'm curious about the distribution of the drop. Is the 50% decrease uniform across all user groups, or are certain demographics more affected?

Why it matters: Uneven impact could point to specific user experience issues or technical problems affecting particular devices or browsers. Expected answer: The decrease is more pronounced in older age groups. Impact on approach: This would lead us to investigate accessibility and usability issues for older users.

  • Given the severity of the drop, I'm wondering about any changes in data collection or analysis. Has there been any modification to how completion rates are measured or reported in the last month?

Why it matters: Ensures we're not dealing with a data anomaly rather than an actual user behavior change. Expected answer: No changes to measurement methods. Impact on approach: If confirmed, we can rule out data collection issues and focus on user-facing problems.

  • Thinking about external factors, have there been any significant health news events or competitor actions that might have influenced user behavior in the past week?

Why it matters: External events could explain sudden changes in user engagement. Expected answer: No major health news or competitor actions noted. Impact on approach: If confirmed, we'd focus more on internal factors and product issues.

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NextSprints

Updated Mar 29, 2025