Introduction
The 20% decline in customer satisfaction for IQVIA's Clinical Trial Optimization services compared to last year's ratings is a significant issue that requires 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 and long-term implications.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Identifying a specific trigger point can help narrow down the root cause. Expected answer: Yes, there was a significant update to the optimization algorithm. Impact on approach: If confirmed, we'd focus on the impact of this update on user experience and results.
Why it matters: Understanding if the issue is universal or segment-specific will guide our investigation and solution design. Expected answer: The decline is more pronounced among smaller biotech companies. Impact on approach: We'd need to investigate why smaller companies are more affected and tailor solutions accordingly.
Why it matters: The pattern of decline can indicate whether it's due to a specific event or a gradual deterioration of service quality. Expected answer: There was a sharp decline about six months ago, followed by a plateau. Impact on approach: We'd focus on events or changes that occurred around that six-month mark.
Why it matters: External factors could be influencing customer perception and expectations. Expected answer: A new competitor entered with an AI-driven optimization tool. Impact on approach: We'd need to assess our product's competitiveness and possibly accelerate our innovation roadmap.
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