Introduction
The doubling of average response time for Hootsuite's customer support team in the last quarter is a critical issue that demands immediate attention. This problem directly impacts user satisfaction, retention, and the overall perception of Hootsuite's service quality. I'll approach this analysis systematically, focusing on identifying potential root causes, validating hypotheses, and developing both short-term 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 shifts. Expected answer: Yes, a major feature update was released. Impact on approach: If true, we'd focus on the new feature's impact on support load.
Why it matters: Ensures we're comparing apples to apples. Expected answer: No change in calculation method. Impact on approach: If changed, we'd need to recalculate using consistent methods.
Why it matters: Volume changes could explain response time increases. Expected answer: Moderate increase in ticket volume. Impact on approach: If true, we'd investigate reasons for increased tickets and staffing adequacy.
Why it matters: Team changes could affect response capabilities. Expected answer: No major changes in team size or structure. Impact on approach: If changes occurred, we'd focus on training and onboarding processes.
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