Introduction
The recent 15% drop in customer satisfaction scores for SHI International's IT asset management software 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 company.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and relevant metrics. From there, I'll generate data-driven 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 satisfaction drops. Expected answer: Yes, a major update was released 6 weeks ago. Impact on approach: If true, I'd focus on changes in that update.
Why it matters: Helps pinpoint if the issue is global or segment-specific. Expected answer: The drop is more significant among enterprise users. Impact on approach: I'd prioritize investigating enterprise-specific features or use cases.
Why it matters: Technical performance often directly impacts user satisfaction. Expected answer: Some intermittent slowdowns have been reported. Impact on approach: I'd investigate backend infrastructure and scaling issues.
Why it matters: External pressures can indirectly affect user perception. Expected answer: No significant external changes noted. Impact on approach: I'd focus more on internal factors if this is the case.
Practice similar questions
Subscribe to access the full answer