Introduction
GlobalLogic's digital product engineering service has experienced a concerning 15% drop in client satisfaction scores over the past quarter. This decline signals potential issues within the service delivery, client expectations, or both. To address this challenge, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications for the business.
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 client satisfaction. Expected answer: Yes, we've introduced a new project management system. Impact on approach: If confirmed, I'd focus on the system's implementation and user adoption.
Why it matters: Changes in measurement could skew results without actual service quality changes. Expected answer: No changes in methodology. Impact on approach: If unchanged, I'd focus on actual service quality issues rather than measurement discrepancies.
Why it matters: Changes in client composition could affect overall satisfaction scores. Expected answer: We've onboarded two large enterprise clients this quarter. Impact on approach: If confirmed, I'd investigate whether these new clients have different expectations or needs.
Why it matters: External factors could be raising the bar for client satisfaction across the industry. Expected answer: A major competitor has launched an AI-enhanced service offering. Impact on approach: If true, I'd explore how this might be influencing client expectations and our competitive positioning.
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