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.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
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.
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.
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.
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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