Introduction
The recent 10-point decline in customer satisfaction for Infoblox's Network Insight feature, as reflected in NPS surveys, is a critical issue that demands immediate attention. 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.
My analysis will follow a structured framework, beginning with clarifying questions to establish context, ruling out external factors, understanding the product and user journey, breaking down the metric, gathering and prioritizing data, forming hypotheses, conducting root cause analysis, proposing validation methods and next steps, and finally presenting a decision framework and 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 could directly impact user satisfaction. Expected answer: Yes, there was a major update 4 months ago. Impact on approach: If confirmed, I'd focus on analyzing the changes made in that update.
Why it matters: Ensures the decline is statistically significant and not due to sampling issues. Expected answer: Sample size is consistently around 1000 users per survey. Impact on approach: If consistent, I'd rule out sampling bias and focus on actual user experience issues.
Why it matters: Helps identify if the issue is widespread or specific to certain user types. Expected answer: Enterprise users show a more significant decline compared to SMB users. Impact on approach: I'd prioritize investigating enterprise-specific use cases and requirements.
Why it matters: External market forces could influence user perception and satisfaction. Expected answer: No significant changes from competitors in the past 6 months. Impact on approach: I'd focus more on internal factors rather than competitive pressures.
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