What factors are contributing to the increased error rate in Interos's multi-tier mapping functionality during the last quarter?

Introduction

Interos's multi-tier mapping functionality is experiencing an increased error rate, impacting the core value proposition of supply chain visibility. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for the product and its users.

I'll approach this issue by first clarifying the context, then ruling out external factors before diving deep into the product's user journey, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a correlation with recent product updates. Have there been any significant changes to the multi-tier mapping functionality in the last quarter?

Why it matters: Recent changes could directly impact the error rate. Expected answer: Yes, there was a major update to improve mapping speed. Impact on approach: If confirmed, I'd focus on the update's implementation and potential side effects.

• Considering user segments, I'm wondering if this is a universal issue. Are we seeing the increased error rate across all customer types, or is it more prevalent in specific industries or company sizes?

Why it matters: This helps determine if it's a systemic issue or related to specific use cases. Expected answer: The issue is more pronounced in customers with complex, global supply chains. Impact on approach: I'd investigate whether the complexity of supply chains is overwhelming the system.

• Given the nature of multi-tier mapping, I'm curious about data sources. Has there been any change in the quality or quantity of data inputs from suppliers or third-party sources?

Why it matters: Data quality directly affects mapping accuracy. Expected answer: We've recently onboarded new data providers to expand coverage. Impact on approach: I'd examine the integration and validation processes for new data sources.

• Thinking about system performance, I'm wondering about scalability. Has there been a significant increase in the volume of mapping requests or the size of supply chains being mapped?

Why it matters: Increased load could strain system resources and lead to errors. Expected answer: Yes, we've seen a 30% increase in mapping requests this quarter. Impact on approach: I'd focus on system architecture and performance optimization.