1p3a Experience · May 2026

2026 google hiring assessment update: new 'most like me / least like me' question type

SWE Phone Screen newgrad
1 upvote 3 replies

Interview Experience

有变化 - 新题型:“Most like me / Least like me” !!! 之前看了这个楼主的贴子,也回复在了那里: 把内容写在一起,这样避免看官遗漏!# 刚完成 最新的 GHA as of 5/xx/2026 第一部分是 "Most like me" and "Least like me" 问题,每道题三个 statement,都是好话,非常难抉择! 第二部分是 情景题,和 我来具体说说新题型:“Most like me / Least like me” 例子:不是真题,举个例子 Example: A. I finish my work on time. B. I communicate clearly with colleag...

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About Google Interview Reports

This question was reported by a candidate who interviewed at Google. 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 Google are the higher-signal extractions to take from this report.

For broader preparation context, the Google 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 Google reports consistently are the ones worth investing in; one-off niche problems are not.

During Your Google 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 Google 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.