Introduction
The recent decline in client satisfaction scores for Karat's technical screening service is a critical issue that demands immediate attention and a thorough analysis. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
Our analysis will follow a structured framework, beginning with clarifying questions to establish context, followed by a comprehensive examination of potential factors contributing to the decline. We'll then formulate data-driven hypotheses, conduct a 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 could directly impact client satisfaction. Expected answer: Yes, we implemented a new AI-assisted scoring system. Impact on approach: If confirmed, we'd focus on the new system's accuracy and client perception.
Why it matters: Different client segments may have varying expectations. Expected answer: We've seen an increase in enterprise clients. Impact on approach: This would lead us to investigate if our service is meeting enterprise-specific needs.
Why it matters: External factors could influence client perception and expectations. Expected answer: A new competitor has entered with a faster turnaround time. Impact on approach: We'd need to assess our service speed and differentiation strategy.
Why it matters: Changes in measurement could artificially affect scores. Expected answer: No changes in measurement methodology. Impact on approach: This would rule out measurement issues and focus us on actual service quality.
Practice similar questions
Subscribe to access the full answer