Thoughtspot MTS 3 Full Stack Interview Experience – 2.5 YOE
Question Details
Round 1 1. Versioned stack 2. https://algo.monster/l
Full Details
Round 1 1. Versioned stack 2. https://algo.monster/liteproblems/252 ##
Round 2 1. The problem was around adding 2 large numbers that doesn't fit into normal integers. Suggested using strings and arrays but the interviewer wanted a linked list and pointed me to that. LC problem link -> https://leetcode.com/problems/add-two-numbers/description/ 2. Alternatives to redux for state management (My resume had redux mentioned) 3. Do you know how GraphQL works ? 4. When you write a query in LLM chatbot the response is streamed by backend. How does that work ? ##
Round 3 This was a resume deep dive round. Most of the questions was around the projects I had worked on. There were discussions around alternate approaches that could have been taken to solve the same problem. There were also some behavioral questions.
About This Question
This is a reported interview question from a thoughtspot interview for a swe role during the behavioral round reported in 2025.
It covers the following topics: Arrays, Sql, Strings, Linked List, Behavioral, Stack .
Topics
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About Thoughtspot Interview Reports
This question was reported by a candidate who interviewed at Thoughtspot. LeakCode aggregates interview reports from 10+ sources, including 1Point3Acres, Glassdoor, LeetCode Discuss, Blind, Reddit, Indeed, and Nowcoder. Each report is translated where necessary, deduplicated against existing entries, and tagged by company, role, round type, and reporting date.
Use this question as one calibration data point, not a memorization target. Companies typically rotate their question pools every 2-4 months; the exact wording of a 2024 question may differ from what you encounter today. The underlying pattern, difficulty level, and follow-up depth at Thoughtspot are the higher-signal extractions to take from this report.
For broader preparation context, the Thoughtspot interview process typically includes a recruiter screen, one or two technical phone screens, and a 4-5 round on-site loop covering coding, system design (at L4+ levels), and behavioral. Reports tagged on LeakCode show the round-by-round distribution and typical difficulty calibration. To browse questions filtered by round type and seniority, use the company hub linked above.
How To Practice This Type of Question
Solve similar problems on LeetCode under timed conditions (25-35 minutes per medium difficulty). The goal is pattern recognition: recognize the underlying technique (sliding window, two-pointer, BFS, memoized recursion, etc.) within 60-90 seconds of reading. Strong candidates verbalize their hypothesis out loud before coding, then iterate based on feedback. Weak candidates dive into implementation immediately, lose time on the wrong approach, and run out of time for follow-ups.
Companies update their question pools every 2-4 months. The exact wording of any given question may have been retired by the time you interview. Focus your prep on the pattern, not the specific problem. The patterns that appear in Thoughtspot reports consistently are the ones worth investing in; one-off niche problems are not.
During Your Thoughtspot Round
Apply the standard interview round template: clarify requirements (2-3 minutes), state your approach out loud and confirm direction with the interviewer (3-5 minutes), code with narration (15-25 minutes), test with concrete examples including edge cases (5 minutes), discuss optimization or trade-offs if time permits (5 minutes). This template is universally accepted across FAANG and adjacent companies; deviating from it produces weaker interviewer feedback signal.
The single most predictive failure mode in Thoughtspot reports tagged "no hire": not asking clarifying questions. Interviewers are explicitly trained to weight this. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into code immediately. The clarifying-question check is often the first signal recorded in the interviewer's written notes.