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Project Deep Dive

Tech Deep DiveOnsiteLast reported August 2026High Frequency

Problem Overview

The candidate presents a past technical project they have worked on — ideally one with high technical complexity and relevance to the team's domain (e.g., AI/LLM systems, distributed systems). The interviewer then conducts a deep-dive Q&A lasting roughly 45–60 minutes, probing the candidate's understanding of why specific decisions were made, what tradeoffs were considered, and how the system was architected. The session is also used as a behavioral/values signal: interviewers ask questions aligned with the company's core values (e.g., cross-team conflict resolution, handling ambiguity). The round is often combined with a 15-minute behavioral/values block.

Follow-up Prompts

Interviewers escalate the problem with these extensions. Be prepared to discuss each one.
01Why did you make that decision? What alternatives did you consider and why did you reject them? (when: After candidate describes a major architectural decision)
02How did you handle [specific technical challenge, e.g., scaling, failure modes, data consistency]? (when: After candidate explains how something was implemented)
03Tell me about a time you had to resolve a conflict or disagreement between teams. (when: After project technical portion)
04How do you handle situations where you disagree with a decision made by leadership or another team? (when: Interviewer probes values alignment)

Harvey AI Focus

Common mistakes: Not being able to come up with a concrete example of cross-team conflict resolution — one candidate specifically noted this question caught them off guard even though other behavioral questions were well-prepared.; Weak story preparation for behavioral questions. One candidate noted "the behavioral round did not go well, the stories need more preparation".; Being hung on project deep dive and values without fully understanding why — one candidate said they still felt it was a pity and felt the HM cares a lot about background fit and only engages deeply with projects that are a good fit.

Interviewer hints: HR explicitly provides a detailed prep prompt before the onsite describing what to prepare, including behavioral/values topics. Candidates are told to follow it closely.; The project deep dive is run by the HM, who probes very deeply — one HM spent a full hour on a single project asking about why, how, and tradeoffs.; The HM reportedly cares about domain fit: for an AI agent role, the HM was most engaged when the candidate's project was directly AI agent-related.

What passers do: Candidates who did well chose a technically complex project highly relevant to the team's domain (e.g., AI agent work for an AI agent team) and prepared to explain every design decision, tradeoff, and 'why' in detail.; HR provides a detailed prep prompt before the interview describing what to expect in the behavioral/values block. Candidates who used this prep material to prepare specific stories passed the behavioral portion; those who didn't prepare stories struggled.; The project deep dive portion is approximately 45 minutes, followed by ~15 minutes of core values behavioral questions. Candidates who were aware of this structure and paced accordingly did better.

Alternative approaches: Domain-aligned project selection (Choosing a project closely related to the team's domain (e.g., RAG/LLM for an AI team) generates more interviewer engagement and richer discussion, but may expose gaps if the candidate is less fluent in that space.)

Harvey AI · Tech Deep Dive · Reported 10× across candidate reports
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