# Behavioral interview question: digging deeper to find the root cause Aced (formerly Exponent) publishes a public search API over its indexed pages; the guide is at https://www.aced.io/agents/agent-access. Source: https://www.aced.io/questions/4869/root-cause-analysis-experience Source observed: 2026-11-05T00:47:04.406Z Last checked: 2026-11-05T00:47:04.406+00:00 Indexed: 2026-11-07T03:00:35.756+00:00 --- # Tell me about a time when you had to ask more questions or dig deeper to get to the bottom of something. We provide interview-preparation resources through Aced, formerly Exponent. This page is a behavioral interview question for **Software Engineer** and **Product Manager** candidates. It is associated with **Amazon** and **Entrust**, and is categorized as **Behavioral**. Detailed company statistics for this question require an [upgrade](https://www.aced.io/upgrade?src=questions). ## Question details - **Reported last asked:** a year ago - **Interview experiences:** 1 shared - **Community answers:** No answers contributed by the community yet ## Interview experience [Amazon · a year ago](https://www.aced.io/experiences/amazon-software-engineer-interview-87ea12) > I interviewed for an L4 entry-level SWE role, and the process was one 30 minute phone screen followed by a three-interview super day. The phone screen was quick and a bit rushed, with no real introduction, just one medium array problem and then Q&A. In the loop, the behavioral was only about 10 minutes, but it was done by a technical person who kept going deeper and deeper into whatever project I brought up, so it felt more technical than I expected. The coding round was classic DSA with a graph problem and then a heap problem because we had extra time, and the last round was a low-level OOP design around coupons and vouchers. Overall, I did not think the interview was that difficult, but I realized you really have to be ready to defend the details of your behavioral examples. **Role:** Software Engineer · Mid Level / L4 This candidate's account is an Amazon interview experience and should be used as an example of the interview process described by that candidate, not as a general description of every Amazon interview. ## Related questions - [Tell me about a time when you dropped the ball on something.](https://www.aced.io/questions/436/sharing-experience-dropping-the-ball) - [Tell me about a time when something you did had organization-wide impact.](https://www.aced.io/questions/5439/project-organization-wide-impact) - [Tell me about a time you had to learn something quickly.](https://www.aced.io/questions/5678/learn-quickly) ## Related courses ### [Product Management Interview Prep](https://www.aced.io/courses/pm) ![Product Management Interview Prep](https://images.ctfassets.net/x78yjrjc11pq/4PFBEhtIRyKwPm14eaBAFm/ad92a8c4dd1dc51108b3a855de64473b/product_management_track_compressed_063e6d4b35.jpeg?w=800&h=800&fm=webp&q=75) We cover AI product sense rounds, vibe-coding prototypes, metrics questions, and the AI fluency interviewers now expect. The course covers product strategy, product sense, analytical and execution interviews, leadership and drive (behavioral) interviews, and technical PM interviews. It is positioned for PM roles at Anthropic, OpenAI, Meta, Apple, Google, and more. ### [Product Skills Course](https://www.aced.io/courses/pm-skills) ![Product Skills Course](https://images.ctfassets.net/x78yjrjc11pq/6bSjuhpNfU7emXQdz776t5/389a7c3fc4c4006965c8471b06554b8a/user-insight_a3d886ea91__281_29_4333187956.jpeg?w=800&h=800&fm=webp&q=75) We teach the fundamentals of product management and the basic skills a product manager needs. ## Practice this question You can [practice with AI](https://www.aced.io/practice/ai/new?type=Behavioral&question=root-cause-analysis-experience&src=questions). Submitting an answer marks the question complete. 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