Introduction
Care.com's senior care matching service is experiencing a sudden 50% increase in customer support wait times. This significant spike demands immediate attention and a thorough root cause analysis. I'll approach this issue systematically, examining potential factors contributing to the increased wait times and developing a comprehensive strategy to address the problem.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Pinpointing the timeframe helps identify potential triggers. Expected answer: Within the last week or two. Impact on approach: A sudden change suggests a specific event or change as the cause.
Why it matters: Helps determine if it's a systemic issue or specific to certain services. Expected answer: It's affecting all types of care requests similarly. Impact on approach: If uniform, we'd focus on system-wide factors; if not, we'd investigate specific service areas.
Why it matters: Changes in request types could indicate underlying product or user experience issues. Expected answer: No significant change in the types of requests. Impact on approach: If unchanged, we'd focus more on volume and process issues rather than content complexity.
Why it matters: Recent changes could directly impact user behavior and support needs. Expected answer: A minor update to the matching algorithm was implemented two weeks ago. Impact on approach: This could be a key factor to investigate if the timing aligns with the wait time increase.
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