Overall Impression
Jiawei demonstrated strong technical depth, especially around Siri Q&A pipelines and data recall improvements. Your answers reflect solid thinking on business metrics and system metrics, and you showed strong ownership in cross-team scenarios. With more structure and reflection on impact, you will present a clearer narrative in interviews.

Q1. Introduction and Core Vision / Metrics / Team Structure

Strengths

• Highlighted Siri Q&A vision clearly (search data pipelines as core).
• Balanced business-level and system-level metrics.
• Shared team structure context effectively.

Areas for Improvement

• Avoid jumping too quickly into design; start with why this work matters and its impact.
• Clarify project initiation versus execution — the setup is key.
• The revised version you gave was much stronger: a clear starting point with the problem definition.

Q2. Negative Feedback from Manager

Strengths

• Strong context: tied to on-call rotations and communication gaps.
• Clear explanation of feedback loop and how it reached you.
• Demonstrated solid learning: bi-weekly updates, improved documentation.

Areas for Improvement

• No major pitfalls here. This was a solid, concise story.

Q3. Failed Project & Mistakes

Strengths

• Improved second attempt: clearly framed Siri Q&A project, identified low answer quality, reranker dependency, underestimated load, escalation gaps.
• Showed ownership in initiating investigations and identifying dependencies.

Areas for Improvement

• Still needs a sharper failure narrative using STAR.
• Explicitly state your mistake and the impact (ideally with numbers).
• Highlight learnings more strongly: risk control, buffer, alignment docs.

Project Retrospective Presentation

Strengths

• Good focus on recall and answer rate targets.
• Rich technical detail with strong awareness of freshness challenges.

Areas for Improvement

• Structure is critical: start with impact/problem → architecture → solution options → your design → execution → risks/failures → results.
• Avoid overwhelming diagrams; start with a 30k-foot view, then zoom in.
• Be explicit about your contributions.
• Streaming concepts need clearer technical grounding.

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