Introduction
The sudden 30% increase in customer support tickets related to SpotOn's online ordering feature this quarter 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 key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and solutions.
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 UI refresh was implemented. Impact on approach: If yes, I'd focus on the changes made and user adaptation.
Why it matters: Helps identify if it's a localized or systemic issue. Expected answer: Mostly from new users. Impact on approach: If concentrated, I'd investigate that specific segment more deeply.
Why it matters: Increased load or changing patterns could strain the system. Expected answer: 20% increase in order volume. Impact on approach: If yes, I'd look into scalability and performance issues.
Why it matters: Technical problems often lead to increased support tickets. Expected answer: Some intermittent slowdowns during peak hours. Impact on approach: If yes, I'd prioritize investigating backend infrastructure and capacity.
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