Introduction
Clutter's full-service moving option has experienced a significant decline in customer satisfaction, dropping from 4.8 to 4.2 stars in the past quarter. This 12.5% decrease is concerning and requires immediate attention. I'll approach this issue systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
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: Seasonal variations could explain the satisfaction drop and inform our solution approach. Expected answer: Possible increase in moves during summer months with more diverse customer base. Impact on approach: If confirmed, we'd need to adjust our capacity and tailor services for different customer segments.
Why it matters: Recent changes could directly impact customer satisfaction and point to specific areas for improvement. Expected answer: Possible introduction of new features, pricing changes, or operational adjustments. Impact on approach: If changes are identified, we'd focus on analyzing their impact and potentially rolling back problematic updates.
Why it matters: Ensures we're comparing apples to apples and not dealing with a measurement artifact. Expected answer: Confirmation of consistent measurement methods or disclosure of any changes. Impact on approach: If measurement changes are found, we'd need to re-evaluate the true extent of the satisfaction decline.
Why it matters: Operational issues could directly impact service quality and customer satisfaction. Expected answer: Information on staff turnover, new hires, or changes in partner relationships. Impact on approach: If workforce issues are identified, we'd focus on training, hiring, or partner management strategies.
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