Introduction
The recent 20% increase in customer support tickets related to TrustArc's Data Inventory & Mapping solution is a concerning trend that requires immediate attention and thorough analysis. To address this issue, 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 often correlate with support ticket spikes. Expected answer: Yes, a major update was released three weeks ago. Impact on approach: If true, we'd focus on the update's features and potential bugs.
Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The increase is primarily from enterprise customers. Impact on approach: If true, we'd investigate enterprise-specific features or use cases.
Why it matters: Identifies common themes that could point to specific problem areas. Expected answer: Difficulty in mapping data flows, slow performance, and integration issues. Impact on approach: Would guide our focus to these specific areas for deeper investigation.
Why it matters: External factors can drive sudden changes in product usage or requirements. Expected answer: A new data privacy regulation was announced in a key market. Impact on approach: If true, we'd need to assess our product's alignment with new regulations.
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