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Mckinsey Online Assessment

Here is how public prep guides and student write-ups describe the McKinsey online assessment. This is not an official company brochure.

Case + Solve - not aptitude/coding service OA.

Rounds students usually mention: Application / resume screen → McKinsey Solve (problem-solving game) → Case + PEI/fit interviews → Partner final round

Item From student reports
Platform McKinsey Solve digital assessment
Online test summary Psychometric mini-games (ecosystem + tower-defense style cited in guides) before interview rounds; cuts a large share of shortlisted applicants.
Eligibility notes Highly selective resume screen (top academics + leadership proof)
Branches (reported) Primarily IIM/ISB/IIT and select campuses for BA/Associate tracks
Section Questions Time Notes
Solve games n/a - Not a coding OA
  • Check your college placement email for the platform, section order, and timing.

These are practice questions for speed - not claimed to be from a real McKinsey live paper.

Coding Q1: Rotate array

Problem: Rotate an array to the right by k steps. Example: [1,2,3,4,5,6,7], k = 3 → [5,6,7,1,2,3,4].

Approach: Normalize k %= n. Reverse the whole array, reverse the first k elements, then reverse the rest. That yields the rotation in place.

Complexity: O(n) time, O(1) space

McKinsey tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q2: First unique character

Problem: Find the first non-repeating character in a string and return its index, or -1 if none exists.

Approach: Count frequencies in one pass (hash map or array of 26 for lowercase). Second pass returns the first index with count 1.

Complexity: O(n) time

McKinsey tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q3: Stack with min

Problem: Design a stack that supports push, pop, top, and getMin in average O(1) time.

Approach: Keep a parallel min-stack (or store pairs). When pushing, also push the new minimum. When popping, pop both stacks.

Complexity: O(1) per operation amortized

McKinsey tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q4: Maximum subarray sum (Kadane)

Problem: Given an integer array, find the contiguous subarray with the largest sum and return that sum. Example: [-2,1,-3,4,-1,2,1,-5,4] → 6 (from [4,-1,2,1]).

Approach: Keep a running sum. If the running sum drops below 0, reset it to 0 before taking the next element (or track the best ending-here value). Track the global maximum as you scan once from left to right.

Complexity: O(n) time, O(1) extra space

McKinsey tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

  1. 50+ live case drills
  2. PEI stories
  3. Solve practice
  4. Target-school placement calendar

These notes come from public reports and can differ by campus, year, and role. If your college placement email or the official careers/notification PDF says something different, follow that.

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