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DoorDash·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
May 2026Remote

Summary

DoorDash coding interview with a binary tree formatting problem. Pretty algorithmic, required knowing your tree traversal well enough to not just reach for BFS out of habit.

Questions Asked (1)

Q1

Given the root of a binary tree, return a 2D string matrix representing a formatted printout of the tree, where the dimensions and node positions follow specific rules based on tree height.

Algorithms & Data Structures
Author's notes

My first instinct was BFS and I started going down that road before catching myself.

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AI HintsAI Generated

Suggested Approach

Use a recursive divide-and-conquer strategy: compute the height of the tree to determine the matrix dimensions (rows = height, columns = 2^height - 1). Then, recursively place each node at the correct column based on its position in the inorder traversal, filling empty spaces with empty strings.

Pro tip: Clarify the exact formatting rules (e.g., whether to use empty strings or spaces for missing nodes) and discuss trade-offs between recursive and iterative approaches, showing awareness of potential stack overflow for deep trees.

1. Understand the problem and constraints

Confirm the rules for matrix dimensions and node placement. Ask clarifying questions about edge cases like empty tree or single node.

2. Compute tree height and matrix dimensions

Calculate the height of the tree (number of levels) to determine rows = height and columns = 2^height - 1.

3. Determine node positions via inorder traversal

Perform an inorder traversal to assign each node a column index (0-based) in the matrix, ensuring correct horizontal placement.

4. Fill the matrix recursively

Recursively place each node's value at its row (level) and assigned column, filling other cells with empty strings.

5. Analyze complexity and edge cases

Discuss time and space complexity (O(n) time, O(n) space for matrix) and handle edge cases like empty tree.

Key Points to Mention

  • Tree height calculation and its relation to matrix dimensions
  • Inorder traversal for determining column positions
  • Recursive divide-and-conquer approach for placement
  • Handling of empty nodes with empty strings
  • Time and space complexity analysis
  • Edge cases: empty tree, skewed tree, and large trees

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.