Introduction
The sudden 35% decrease in appointment bookings through Get Well's digital scheduling platform last week is a critical issue that demands immediate attention. As we dive into this analysis, we'll systematically identify potential causes, validate hypotheses, and develop a comprehensive plan to address 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 often correlate with sudden metric shifts. Expected answer: Yes, a minor UI update was rolled out. Impact on approach: If confirmed, we'd focus on the UI changes and user experience.
Why it matters: Helps narrow down if it's a universal issue or segment-specific. Expected answer: The decrease is more pronounced in older users. Impact on approach: We'd investigate accessibility and usability for older demographics.
Why it matters: Technical issues can dramatically impact user behavior. Expected answer: No major outages, but some intermittent slowdowns were reported. Impact on approach: We'd prioritize performance analysis and server logs.
Why it matters: Changes in user acquisition can affect booking patterns. Expected answer: A major referral partner paused their campaign last week. Impact on approach: We'd analyze the impact of different acquisition channels on booking rates.
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