Introduction
The sudden 25% drop in customer satisfaction scores for Drivenets's Network Cloud orchestration platform over the last month is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and business.
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 next steps.
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 satisfaction drops. Expected answer: Yes, a major update was released. Impact on approach: If yes, we'll focus on change-related issues; if no, we'll look at other factors.
Why it matters: Ensures the metric itself is reliable. Expected answer: No changes in measurement. Impact on approach: If changed, we'd need to investigate the measurement process first.
Why it matters: Network performance directly impacts user satisfaction. Expected answer: Some increase in reported issues. Impact on approach: If yes, we'll prioritize technical investigations; if no, we'll focus more on user experience factors.
Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: Varies by segment. Impact on approach: If varied, we'll dive into segment-specific analysis; if uniform, we'll look at platform-wide issues.
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