Introduction
The sudden 50% increase in customer complaints about Infra.Market's steel rebar quality in the last quarter 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 our product and business.
I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into our product, user journey, and metrics. We'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: Changes in production could directly impact product quality. Expected answer: Yes, we've implemented a new quality control system. Impact on approach: If confirmed, we'd focus on the new system's implementation and potential issues.
Why it matters: Changes in customer base could affect perception and usage patterns. Expected answer: We've seen a 30% increase in orders from small-scale contractors. Impact on approach: This would lead us to investigate if the issue is more prevalent in this segment.
Why it matters: Understanding the specific quality issues helps narrow down potential causes. Expected answer: Most complaints relate to inconsistent tensile strength. Impact on approach: We'd focus on factors affecting tensile strength in our analysis.
Why it matters: Supply chain changes could impact the quality of our final product. Expected answer: We've onboarded two new steel suppliers to meet increased demand. Impact on approach: This would lead us to investigate the quality of raw materials from new suppliers.
Practice similar questions
Subscribe to access the full answer