Technical interviews don’t just test whether you know data structures and algorithms—they test how you think under pressure. If you’ve ever blanked on an “easy” problem, it’s usually not a knowledge gap; it’s a process gap. Here’s a simple, repeatable playbook you can use in live-coding, whiteboard, and pair-programming interviews.

The 4-Step Interview Flow (Use This Every Time)

1) Clarify before you code

Spend the first 60–120 seconds shaping the problem so you don’t solve the wrong thing.

• Ask about input constraints (n size, value ranges, sorted/unsorted)
• Confirm edge cases: empty input, duplicates, negative numbers, ties
• Restate the problem in your words and get a quick “yes” from the interviewer

Tip: If you’re stuck, asking a good clarifying question buys time and demonstrates maturity.

2) Generate examples + walk through them

Before writing code, create 1–2 small test cases and talk through them.

• One “normal” case
• One “corner” case (like empty, single element, all same)

This helps you catch mistakes early and sets you up for confident implementation.

3) Explain your approach and tradeoffs

Even if you know the optimal solution, briefly compare options.

• “Brute force would be O(n²)… but we can do O(n) using a hash map.”
• Mention time and space complexity clearly
• Name the pattern when applicable: two pointers, sliding window, BFS/DFS, monotonic stack

Tip: Interviewers often score communication as heavily as correctness.

4) Implement in small, verifiable steps

Instead of writing everything at once, build in layers:

• Write function signature + return shape
• Handle edge cases early
• Implement the core loop
• Add helper functions if it improves readability

While coding, narrate what you’re doing:

• “I’m storing counts in a map so I can check in O(1).”
• “Now I move the left pointer until the window is valid again.”

What to Do When You Get Stuck (Without Panicking)

Getting stuck is normal. The goal is to recover gracefully.

• Say what you know: “We need to avoid O(n²)… I’m thinking hashing or sorting.”
• Back up to an example: step through your test case and see where logic breaks
• Ask for a hint strategically: “Would you prefer an optimal solution, or should I start with brute force and optimize?”
• State an invariant: “At every step, the window contains no duplicates.”

A Quick Self-Practice Challenge

Pick one classic problem (e.g., Two Sum, Valid Parentheses, Longest Substring Without Repeating Characters) and practice using the exact script:

1. Clarify
2. Examples
3. Approach + complexity
4. Code + quick test

Do this repeatedly until your brain treats it as muscle memory.

What part of technical interviews do you find hardest right now—starting the solution, finding the optimal approach, or staying calm while coding live?