Introduction
The sudden 30% increase in customer support tickets for Infosys's EdgeVerve AI platform 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 the product and its users.
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 confirmed, we'd focus on the new features and potential bugs.
Why it matters: Helps identify if the issue is localized or widespread. Expected answer: The increase is primarily from enterprise customers in the financial sector. Impact on approach: We'd investigate sector-specific integrations or use cases.
Why it matters: Indicates whether we're dealing with new problems or exacerbation of existing ones. Expected answer: There's been a significant increase in performance-related tickets. Impact on approach: We'd prioritize performance optimization and scalability issues.
Why it matters: External pressures can drive sudden changes in user behavior or expectations. Expected answer: No significant competitor movements in the last month. Impact on approach: We'd focus more on internal factors rather than market dynamics.
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