Introduction
The sudden increase in average response time for customer inquiries through Sprinklr's unified messaging platform from 2 minutes to 8 minutes this week is a critical issue that demands immediate attention. This significant degradation in performance could impact customer satisfaction, retention, and ultimately, our bottom line. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.
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: Recent changes often correlate with performance issues. Expected answer: Yes, there was a major update. Impact on approach: If yes, we'd focus on rollback options and code review.
Why it matters: Volume changes can strain system resources. Expected answer: No significant volume changes. Impact on approach: If no, we'd look more closely at internal system issues.
Why it matters: Staff changes can directly impact response times. Expected answer: No major staffing changes. Impact on approach: If no, we'd focus more on technical and process issues.
Why it matters: External dependencies can cause cascading issues. Expected answer: Some minor API issues reported. Impact on approach: If yes, we'd investigate these integrations more closely.
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