Problem database last updated: June 20, 2025
5 problems · 0 Easy, 3 Medium, 2 Hard · Ranked #255 of 458
0 Easy
0% · avg 23%
3 Medium
60% · avg 59%
2 Hard
40% · avg 18%
Based on 5 reported problems, Otter.ai interviews are significantly harder than average - 40% Hard vs 18% across all companies. The majority (60%) of questions are Medium difficulty, which is typical for companies that want to see solid fundamentals without excessive trick questions.
Compared to the industry average, Otter.ai puts unusual emphasis on heap-priority-queue (40% of problems, 6.6x the industry average), dynamic-programming (40% of problems, 2x the industry average), hash-table (40% of problems, 1.8x the industry average). If you're short on time, these are the categories to double down on.
The most common topics are array (80%), heap-priority-queue (40%), hash-table (40%), dynamic-programming (40%). Problems below are sorted by frequency, the ones at the top are asked most often.
| Problem | Difficulty | Frequency | Topics | |
|---|---|---|---|---|
Trapping Rain Water II Given an m x n integer matrix heightMap representing the height of each unit cell in a 2D elevation map, return the volume of water it can trap after raining. | Hard | Very Likely | arraybreadth-first-searchheap-priority-queue | Solve |
Word Break Given a string s and a dictionary of strings wordDict, return true if s can be segmented into a space-separated sequence of one or more dictionary words. | Medium | Very Likely | arrayhash-tablestring | Solve |
Frog Jump A frog is crossing a river. The river is divided into some number of units, and at each unit, there may or may not exist a stone. The frog can jump on a stone,... | Hard | Very Likely | arraydynamic-programming | Solve |
The Number of the Smallest Unoccupied Chair There is a party where n friends numbered from 0 to n - 1 are attending. There is an infinite number of chairs in this party that are numbered from 0 to infinit... | Medium | Very Likely | arrayhash-tableheap-priority-queue | Solve |
Flatten Deeply Nested Array Given a multi-dimensional array arr and a depth n, return a flattened version of that array. | Medium | Very Likely | Solve |
Trapping Rain Water II
SolveGiven an m x n integer matrix heightMap representing the height of each unit cell in a 2D elevation map, return the volume of water it can trap after raining.
Word Break
SolveGiven a string s and a dictionary of strings wordDict, return true if s can be segmented into a space-separated sequence of one or more dictionary words.
Frog Jump
SolveA frog is crossing a river. The river is divided into some number of units, and at each unit, there may or may not exist a stone. The frog can jump on a stone,...
The Number of the Smallest Unoccupied Chair
SolveThere is a party where n friends numbered from 0 to n - 1 are attending. There is an infinite number of chairs in this party that are numbered from 0 to infinit...
Flatten Deeply Nested Array
SolveGiven a multi-dimensional array arr and a depth n, return a flattened version of that array.
Frequency scores are based on crowdsourced interview reports. A higher score means the problem has been reported more often in recent Otter.ai interviews.
Very Likely
75-100%
Likely
50-74%
Sometimes
25-49%
Rare
0-24%
Otter.ai interviews focus heavily on array, heap-priority-queue, hash-table problems. If you're short on time, these are the categories to prioritize. The problems on this page are sorted by frequency, so start from the top and work your way down.
Beyond solving problems, practice explaining your approach. Otter.ai interviewers care about your thought process - how you break down a problem, consider edge cases, and evaluate tradeoffs between solutions. A clean O(n) solution you can explain clearly beats an O(log n) solution you can't articulate.
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Otter.ai has been reported to ask 5 distinct coding problems. The most common topics are array, heap-priority-queue, hash-table. 0 are Easy difficulty, 3 are Medium, and 2 are Hard. Problems are sorted by frequency - the ones at the top are asked most often.
Based on 5 reported problems, Otter.ai interviews are significantly harder than average - 40% Hard vs 18% across all companies. 60% of questions are Medium difficulty. Focus on the high-frequency Medium problems first, then work through the Hard ones.
Start with the highest-frequency problems listed on this page. Focus on the core topics: array, heap-priority-queue, hash-table. Practice solving them under time pressure and explaining your approach out loud. Mock interviews with AI can simulate the real experience.
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