# Data-driven decision interview question and shared experiences

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Source: https://www.aced.io/questions/5630/when-data-helped-you-make-a-decision
Source observed: 2026-11-04T22:59:36.920Z
Last checked: 2026-11-04T22:59:36.92+00:00
Indexed: 2026-11-06T01:21:57.433+00:00

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# Tell me about a time when data helped you make a decision.

We provide interview-preparation questions and experiences through Aced, formerly Exponent. This behavioral interview question asks you to describe a decision influenced by data, including how you collected and interpreted the data, which trade-offs you considered, and how you checked that the decision was not biased or driven by assumptions.

## Question details

- **Roles:** [BizOps & Strategy](https://www.aced.io/questions?role=bizops), [Technical Program Manager](https://www.aced.io/questions?role=tpm), [Program Manager](https://www.aced.io/questions?role=program-manager), [Product Marketing Manager](https://www.aced.io/questions?role=pmm), [Product Manager](https://www.aced.io/questions?role=pm)
- **Companies:** [LinkedIn](https://www.aced.io/questions?company=linkedin), [Anduril](https://www.aced.io/questions?company=anduril), [Amazon](https://www.aced.io/questions?company=amazon), [Achievers](https://www.aced.io/questions?company=achievers), [Visa](https://www.aced.io/questions?company=visa)
- **Categories:** Data Analysis; Program Sense
- **Reported last asked:** 8 months ago
- **Detailed company statistics:** available through [Upgrade](https://www.aced.io/upgrade?src=questions)

## Interview experiences

We have 3 shared experiences for this question.

### LinkedIn — BizOps & Strategy · Mid Level / L4
[Read the LinkedIn interview experience](https://www.aced.io/experiences/linkedin-bizops-strategy-interview-d554d8)

Reported 8 months ago:

> “The loop ran for 2+ months and ended up being six to seven rounds with no take-home: recruiter screen, hiring managers, case-heavy interviews, and separate behaviorals. No take-home, surprisingly! Almost every round blended casing and behavioral, so it never felt like I could fully switch my brain off one side or the other. The interviews themselves were candidate-led, with one interviewer feeling super collaborative and another much more reserved and watchful, especially in the cases. I feel like the biggest theme across the whole process was that LinkedIn cared a lot about story, stakeholder management, and whether I was actually AI-native versus just saying buzzwords.”

### Achievers — Product Marketing Manager · Intern
[Read the Achievers interview experience](https://www.aced.io/experiences/achievers-product-marketing-manager-intern-interview-409a45)

Reported 2 years ago:

> “It was a short process, not very technical, very mission driven. The recruiter screen was all the basic questions. The second round was the with the manager and more about previous experiences and applying them to the role. A lot of questions around data. The final round was more of a teammate vibe check and culture fit round.”

### Visa — Product Manager · Intern
[Read the Visa interview experience](https://www.aced.io/experiences/visa-product-manager-intern-interview-7d05fd)

Reported 3 years ago:

> “The process was straightforward and behavioral. The team was looking for fit for the specific product and the team itself. The previous experiences were heavily emphasised and if they matched the current team's needs, that's what they wanted to verify.”

## Community answers

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## Related questions

- [Tell me about a time when you made a decision with limited data.](https://www.aced.io/questions/934/decision-with-limited-data)
- [Tell me about a time when you had to make a decision quickly.](https://www.aced.io/questions/3568/quick-decision-making-experience)
- [Tell me about a time when your technical knowledge helped the team make a decision.](https://www.aced.io/questions/3886/technical-knowledge-influencing-team-decision)

## Related courses

### [Product Strategy Questions](https://www.aced.io/courses/product-strategy)

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Our Product Management Interview Prep course covers AI product-sense rounds, vibe-coding prototypes, metrics questions, AI fluency, product strategy, product sense, analytical and execution interviews, leadership and drive behavioral interviews, and technical PM interviews. It is intended for candidates targeting Anthropic, OpenAI, Meta, Apple, Google, and other companies.

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