# Behavioral interview question: a disagreement where the other person was right 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/5794/disagreement-and-they-were-right Source observed: 2026-11-04T22:21:40.955Z Last checked: 2026-11-04T22:21:40.955+00:00 Indexed: 2026-11-05T19:53:00.579+00:00 --- # Tell me about a time you had significant disagreement with someone and later realized they were right. We provide this behavioral interview question in Aced's interview-question library. It asks candidates to describe a substantial disagreement, explain how they handled it, and show how they recognized that the other person’s position was correct. ## Question details - **Category:** Behavioral - **Reported interviews:** 3 - **Roles associated with this question:** [Software Engineer](https://www.aced.io/questions?role=swe) (2), [Machine Learning Engineer](https://www.aced.io/questions?role=ml-engineer) - **Companies associated with this question:** [Anthropic](https://www.aced.io/questions?company=anthropic) (2), [Meta](https://www.aced.io/questions?company=meta-facebook) - **Most recent displayed report:** 9 months ago Detailed company statistics are available through [Upgrade](https://www.aced.io/upgrade?src=questions). ## Interview experiences We have 2 shared interview experiences connected to this question. ### Meta — Machine Learning Engineer, Senior / L5 [Read the Meta interview experience](https://www.aced.io/experiences/meta-facebook-senior-machine-learning-engineer-interview-8719a7) Reported 9 months ago. The candidate described a second attempt at the same Meta MLE process. Compared with the prior year, the process included a written portal pre-screen and a new AI-enabled coding round. After a sourcer’s email, the candidate completed a questionnaire and then a 45-minute coding screen containing two LeetCode-style questions. The full loop was split across four days: coding, AI-enabled debugging/coding, behavioral, and an ML design round involving a TikTok-style recommendation system. The candidate found the coding standard for Meta; the AI round required debugging an unfamiliar codebase, running tests intelligently, and using an LLM without blindly trusting it. ### Anthropic — Software Engineer, Staff / L6 [Read the Anthropic interview experience](https://www.aced.io/experiences/anthropic-staff-software-engineer-interview-9bfb57) Reported a year ago. The candidate completed a recruiter screen and coding phone screen. After passing, hiring paused for the team; a different recruiter later resumed the process with a virtual onsite. The onsite included coding, system design, hiring manager, culture, and a one-person technical presentation rounds. The candidate said the question bank was small enough to anticipate the types of questions, but this was one of their first loops and they felt insufficiently prepared. They came close but did not receive an offer, assessing that system design was the most damaging round. ## Community answers No answers have been contributed by the community yet. ## Related questions - [Tell me about a time you disagreed with someone and how you resolved it.](https://www.aced.io/questions/1350/time-disagreed-someone-resolved) - [Tell me about a time when you had a disagreement with your manager.](https://www.aced.io/questions/241/disagreement-manager) - [Tell me about a time when you had a technical disagreement with your manager.](https://www.aced.io/questions/6585/describe-technical-disagreement-with-manager) ## Related courses ### [Machine Learning Engineer Interview Prep](https://www.aced.io/courses/ml-engineer) ![Machine Learning Engineer Interview Prep](https://images.ctfassets.net/x78yjrjc11pq/6UfkHxUyLQVfDHSfLNQtWa/1be1539a65b4f6f15201f5b573c0a578/ML_Engineer_Interview_Prep_Course.jpeg?w=800&h=800&fm=webp&q=75) We cover mock interviews, frameworks, and advice from senior candidates for machine-learning roles at Meta, Google, Amazon, Apple, Microsoft, Nvidia, and other top companies. Topics include ML system design, core concepts, coding, and behavioral interviews. ### [Software Engineering Interview Prep](https://www.aced.io/courses/software-engineering) ![Software Engineering Interview Prep](https://images.ctfassets.net/x78yjrjc11pq/4VkuYewBHUFIVUS5oJDW5h/02e833439b1289f25f38f13f81cbdca3/adobe_stock_optimized.jpeg?w=800&h=800&fm=webp&q=75) We help candidates prepare for software engineering roles at Google, Amazon, Microsoft, Meta, Apple, and other top companies. The course covers data structures, algorithms, system design, people management, and behavioral interviews, using mock interviews, frameworks, and advice from senior candidates. ## Practice Use [Practice with AI](https://www.aced.io/practice/ai/new?type=Behavioral&question=disagreement-and-they-were-right&src=questions) to rehearse this behavioral question. Submitting an answer marks the question complete. --- [Read this page’s summary](https://www.aced.io/agents/api/public/v1/page-tldr?url=https%3A%2F%2Fwww.aced.io%2Fquestions%2F5794%2Fdisagreement-and-they-were-right&trace=t_679ff9ab98f3) ## Ask a follow-up about this page Need a more specific answer? Ask the exact question you have. It returns a fresh, cited answer from Aced (formerly Exponent)’s knowledge base. No account or API key required. Open this URL with your own question, URL-encoded. Include your question in q. All research inputs are optional; no account or setup. `GET https://www.aced.io/agents/agent/faq?q={question}&trace=t_679ff9ab98f3` [Tool guide and examples](https://www.aced.io/agents/agent-access) · [OpenAPI](https://www.aced.io/agents/api/public/v1/openapi.json) · [Page TLDR form](https://www.aced.io/agents/agent-tools/page-tldr?url=https%3A%2F%2Fwww.aced.io%2Fquestions%2F5794%2Fdisagreement-and-they-were-right). Opening a form does not execute a tool.