Notion labs Business Analyst interview typically runs 3 rounds: recruiter screen, take-home, on-site. It usually takes a while and feels conversational and organized.
$93K
Avg. Base Comp
$111K
Avg. Total Comp
3
Typical Rounds
3-5 weeks
Process Length
Our candidates report that Notion’s process feels unusually human for a company with a strong product reputation, but that friendliness shouldn’t be mistaken for softness. The recurring theme is that interviewers are looking for clear product judgment more than polished technical depth. One candidate was asked to propose a new AI feature, which is a good signal that they want to see how you think about user value, prioritization, and whether your ideas fit the product’s existing philosophy.
We’ve also seen that culture fit is not treated as a throwaway topic here. A candidate was explicitly asked which Notion value aligned most with their own experience, which tells us they care about whether you can connect your background to the company in a genuine, specific way. The people on the other side were described as warm and conversational, but the evaluation still hinged on whether the candidate could communicate thoughtfully and show a real understanding of what makes Notion different. In other words, the bar is less about being flashy and more about sounding like someone who already thinks the Notion way.
Synthetized from 1 candidates reports by our editorial team.
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Real interview reports from people who went through the Notion labs process.
I came away from the process with a pretty positive impression of Notion, even though it felt a little long and somewhat onerous by the end. The early conversations were very friendly and conversational, and the recruiter kept me updated throughout, which made the whole thing feel organized and low-stress. I had a take-home as part of the process, followed by an on-site round where the people I spoke with were warm and easy to talk to. Nothing felt overly aggressive or trick-question heavy, which I appreciated.
The main questions were more about judgment and fit than hard technical depth. One of the prompts I got was to think through what new feature I would build in AI, which was a nice way to see how I approach product thinking and prioritization. I was also asked which Notion value aligns most with my personal values and professional experience, so it was important to be able to connect my background to the company’s culture in a genuine way. Overall, the interviews were not especially difficult, but the process did take a while. My takeaway is to be ready for a conversational process that still expects thoughtful product sense, clear communication, and a real understanding of Notion’s values.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Notion labs
What’s the expected churn rate in March for all customers that bought the product since January 1st?
| Question | |
|---|---|
| Empty Neighborhoods | |
| 2nd Highest Salary | |
| Customer Orders | |
| Button AB Test | |
| Top Three Salaries | |
| Rolling Bank Transactions | |
| Comments Histogram | |
| 500 Cards | |
| Minimum Change | |
| Closest SAT Scores | |
| Top 3 Users | |
| Subscription Overlap | |
| Month Over Month | |
| Paired Products | |
| Find the Missing Number | |
| Jars and Coins | |
| Upsell Transactions | |
| Monthly Customer Report | |
| P-value to a Layman | |
| Hurdles In Data Projects | |
| First Touch Attribution | |
| Download Facts | |
| Google Maps Improvement | |
| Bagging vs Boosting | |
| Employee Project Budgets | |
| Longest Streak Users | |
| Employee Salaries (ETL Error) | |
| Size of Joins | |
| Random SQL Sample |
Synthesized from candidate reports. Individual experiences may vary.
The process starts with a friendly, conversational recruiter conversation. The recruiter keeps candidates updated throughout the process and sets expectations for the remaining steps.
Candidates complete a take-home as part of the evaluation. The prompt appears to focus on judgment, product thinking, and prioritization rather than deep technical difficulty.
The final stage is an on-site round with warm, easy-to-talk-to interviewers. Questions center on product sense and fit, including prompts like what AI feature you would build and which Notion value aligns with your own background and values.