# Program Sense interview question: Tell me about a time when you were forced to prioritize multiple projects. 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/5472/forced-to-prioritize-multiple-projects Source observed: 2026-11-05T00:06:30.838Z Last checked: 2026-11-05T00:06:30.838+00:00 Indexed: 2026-11-05T21:03:01.495+00:00 --- # Tell me about a time when you were forced to prioritize multiple projects. We classify this as a **Program Sense** question associated with **Data Scientist**, **Software Engineer**, and **Technical Program Manager** roles. The page lists **Meta** and **Google**, reports **3 interviews**, and says it was last asked **a year ago**. Detailed company statistics require an [Upgrade](https://www.aced.io/upgrade?src=questions). ## Interview experiences ### [Google · a year ago](https://www.aced.io/experiences/google-senior-data-scientist-interview-190f70) ![Google logo](https://exponent-static.s3.amazonaws.com/company_logos/google.png) **Role:** Data Scientist · Senior / L5 > I had already been referred and was already in touch with a recruiter (for a previous interview process), so the first loop moved unusually smoothly and I even got to skip the technical screen there. The product loop was more standard: recruiter, a technical screen with SQL plus schema design, then a three-round onsite covering stats/modeling, experimentation/applied analysis, and Googliness. The tricky part is the two analytical onsite rounds overlap a lot, but the stats side was more trivia and mechanics than I expected, while the experimentation side stayed pretty close to standard A/B testing frameworks with a little causal inference mixed in. Overall the interviewers came off very friendly and conversational, and I finished my last onsite in mid-December. ### [Meta · a year ago](https://www.aced.io/experiences/meta-facebook-software-engineer-interview-907e36) ![Meta logo](https://exponent-static.s3.amazonaws.com/company_logos/meta.png) **Role:** Software Engineer · Mid Level / L4 > I got into Meta through a referral, and the recruiter reached out quickly. The process was recruiter chat, then a pre-onsite package with CodeSignal, a live technical screen, and a weird multiple-choice engineering philosophy questionnaire, and then about a month later the onsite with DSA, system design, behavioral, and the AI-enabled coding round. Honestly, Meta gave me the best prep materials of any company I interviewed with: a long prep PDF, portal videos, mock system design resources, and even a practice environment for the AI round. Most of the coding questions were exactly the kind of stuff people tell you to study in the Meta-tagged LeetCode list, so I never felt like they were hiding the ball. I didn't get the offer, and I think the system design round was what sank me because I expected distributed systems and got an API-design style chess problem that I handled in a really unorganized way. ## Community answers No answers have been contributed by the community yet. ## Related questions - [Tell me about a project where you prioritized the customer.](https://www.aced.io/questions/1762/project-where-customer-priority) - [Tell me about a time when you led a project from start to finish.](https://www.aced.io/questions/652/time-led-project-start-to-finish) - [Tell me about a time when you had to prioritize between quality and speed.](https://www.aced.io/questions/7436/describe-prioritize-quality-vs-speed) ## Related courses ### [Data Science Interview Prep](https://www.aced.io/courses/data-science) ![Data Science Interview Prep](https://images.ctfassets.net/x78yjrjc11pq/3U4C5C0OkDR0UeGch4AmlE/7ad489430b676a088cb973307fe77884/Data_Science_Interview_Prep_Course.jpeg?w=800&h=800&fm=webp&q=75) Land your dream data science role at Google, Amazon, Microsoft, Meta, Apple, and other top companies. Learn from mock interviews, frameworks, and advice from senior candidates. Practice statistics, experimentation, coding, SQL, machine learning, behavioral interviews, and more. ### [SQL Interviews](https://www.aced.io/courses/sql-interviews) ![SQL Interviews](https://images.ctfassets.net/x78yjrjc11pq/62mN54S54HpLIOmyG8qbnq/54deaf5e397d0807d71c0e27e21e5ee3/sql_illustration_2.jpg?w=800&h=800&fm=webp&q=75) Prepare for SQL interviews by practicing syntax basics, aggregations, and window functions. Learn how to manipulate data, write complex queries, and analyze information from diverse data sets. ## Your answer We provide a formatted answer editor. Submitting marks this 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%2F5472%2Fforced-to-prioritize-multiple-projects&trace=t_679ff9ab98f3) ## Ask a follow-up about this page Need a more specific answer? Ask the exact question you have. 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