Introduction
The sudden 40% increase in customer support queries related to Motorway's collection and delivery service over the past two weeks is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for our product and customer experience.
To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to uncover the underlying factors contributing to this spike in support queries and propose actionable steps to resolve the issue and prevent future occurrences.
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 lead to increased support queries. Expected answer: Yes, we've introduced a new route optimization algorithm. Impact on approach: If confirmed, we'd focus on the algorithm's performance and user communication about the change.
Why it matters: This helps identify if the issue is widespread or specific to certain user groups. Expected answer: The increase is more pronounced among first-time users. Impact on approach: If true, we'd focus on onboarding and first-time user experience improvements.
Why it matters: Changes in partnerships could affect service quality and consistency. Expected answer: We've expanded our partner network by 20% in the last month. Impact on approach: If confirmed, we'd investigate partner onboarding and performance monitoring processes.
Why it matters: Technical issues could directly lead to user frustration and increased support needs. Expected answer: We've noticed a 15% increase in app load times during peak hours. Impact on approach: If true, we'd prioritize technical performance optimization in our solution.
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