CCR Issue Analysis: Discrepancies in Data Interpretation and Methodology

Subject: Request for Clarification on Data Analysis Methodology for CCR Issue

Dear [TSE Team],

I hope this email finds you well. I'm writing to discuss the recent findings regarding the CCR issue and the differing conclusions drawn by our respective teams based on the data analysis.

As you know, both the SQ team and TSE team have been utilizing different approaches to analyze the data in order to gain insights into the CCR issue. While our team has been relying on hard defect counts, your team has been using parts per million (ppm). It's essential for us to align our findings and understand the underlying reasons for the divergence in our conclusions.

After careful analysis, our team has identified PQ gating as the primary root cause of the CCR issue. We have also observed a secondary issue of misbranded ASINs. However, it appears that your team has come to the reverse conclusion, with the misbranded ASIN issue being highlighted as the main problem.

In our analysis, we have considered the hard defect data with a specific threshold to prioritize brands. This involves sampling data. To align with your team's ppm analysis, we have converted our sampling data into ppm and still found that PQ gating is the primary cause.

In light of these discrepancies, we kindly request that you provide us with a thorough explanation of how your team analyzed the data to reach the conclusion that the misbranded ASIN issue is more severe than the PQ gating issue. Additionally, we would appreciate it if you could fill out the yellow highlighted section with the relevant numbers to facilitate a better understanding of your analysis.

By collaboratively addressing these concerns and clarifying our respective methodologies, we can work towards a unified understanding of the CCR issue and develop a more effective resolution strategy.

Thank you for your attention to this matter. We look forward to your prompt response and a constructive discussion.

Best regards,

[Your Name]