Introduction
The recent increase in average response time for Freshworks' Freshservice tickets from 2 hours to 6 hours this month is a critical issue that demands immediate attention. This significant shift in performance metrics could impact customer satisfaction, team productivity, and overall service quality. To address this problem, 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.
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 could directly impact response times. Expected answer: Information about system updates or process changes. Impact on approach: If changes occurred, we'd focus on those specific areas first.
Why it matters: A sudden increase in volume could strain existing resources. Expected answer: Data on ticket volume trends. Impact on approach: If volume increased, we'd explore scalability solutions.
Why it matters: Team composition can greatly affect response times. Expected answer: Information on recent staffing changes. Impact on approach: If staffing changed, we'd focus on team capacity and training.
Why it matters: Ensures we're comparing apples to apples. Expected answer: Confirmation of consistent measurement methods. Impact on approach: If measurement changed, we'd need to reassess the actual problem.
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