Introduction
The doubling of customer support ticket resolution time for Kraken's staking service is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product ecosystem, metric breakdown, and data analysis. From there, I'll form and validate hypotheses, conduct root cause analysis, and propose a comprehensive resolution plan.
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, a new staking option was introduced. Impact on approach: If confirmed, I'd focus on the new feature's implementation and user adoption.
Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: It's primarily affecting new users to the staking service. Impact on approach: If true, I'd investigate onboarding processes and new user experience.
Why it matters: Changes in support processes can artificially inflate resolution times. Expected answer: No significant changes to the support process. Impact on approach: If confirmed, I'd focus more on the product itself rather than support systems.
Why it matters: External events can drive increased support volume and complexity. Expected answer: Some regulatory discussions, but no major changes. Impact on approach: If true, I'd investigate how market uncertainty might be affecting user behavior and support needs.
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