Introduction
The recent 20% decline in customer satisfaction scores for AGCO's Valtra tractor after-sales service in Scandinavia 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 business.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product ecosystem, user journey, and metric breakdown. 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 shifts. Expected answer: Yes, a new digital ticketing system was implemented. Impact on approach: If true, I'd focus on the new system's user experience and functionality.
Why it matters: Ensures we're comparing apples to apples. Expected answer: No changes in measurement methodology. Impact on approach: If unchanged, I'd focus on actual service quality issues rather than measurement discrepancies.
Why it matters: Regional factors could explain localized satisfaction drops. Expected answer: No significant market changes, but new emissions regulations were introduced. Impact on approach: If regulations have changed, I'd investigate how well our after-sales service is adapting to these new requirements.
Why it matters: An aging fleet could strain after-sales resources. Expected answer: The average age of tractors has increased by 2 years over the past 18 months. Impact on approach: If true, I'd focus on scaling and adapting our service capabilities for an older fleet.
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