Technical Interviews From Both Sides

Technical interviews are a compromise that nobody loves. Candidates feel like they're performing tricks unrelated to actual work. Interviewers feel like they're evaluating performance under artificial conditions. Both are right. The process is imperfect, and it's also the process — so understanding how to navigate it from both sides is a practical necessity.

For Candidates: Navigating the Interview

What Interviews Actually Evaluate

Despite what it feels like, most technical interviews aren't trying to test whether you've memorized algorithms. They're trying to evaluate:

How you think through problems. Can you break a problem down? Do you ask clarifying questions? Do you consider edge cases? The thought process matters more than the solution.

How you communicate. Can you explain what you're doing and why? Technical work is collaborative. If you can't articulate your reasoning, it doesn't matter how good your code is.

How you handle uncertainty. Getting stuck is normal and expected. What do you do next? Do you try a different approach? Do you ask for a hint? Do you methodically narrow down the problem?

Whether you'd be a good teammate. Are you pleasant to work with? Do you listen? Can you take a suggestion without getting defensive? This is evaluated throughout the entire interview, not in a dedicated section.

Preparation That Actually Helps

Practice talking while coding. The hardest part of technical interviews isn't the code — it's narrating your thought process while writing code. Practice this explicitly. Solve problems on a whiteboard or in a plain text editor while explaining your approach out loud.

Learn the common patterns. Most coding interview problems use a small set of patterns: two pointers, sliding window, BFS/DFS, dynamic programming, hash maps for lookup. Learning to recognize which pattern applies is more valuable than memorizing specific solutions.

Prepare your stories. Behavioral questions ("tell me about a time you...") come up in almost every interview. Prepare 4-5 stories that cover: a technical challenge you solved, a conflict you navigated, a project you led, a mistake you made and learned from, and a time you disagreed with a decision. Use the STAR format (Situation, Task, Action, Result) to structure them.

Ask questions at the end. Not "what's the culture like?" (vague) but "How does the team handle technical disagreements?" or "What does a typical week look like for someone in this role?" or "What's the biggest challenge the team is facing right now?" These questions demonstrate that you're evaluating the company, not just hoping they'll pick you.

When the Interview Is Unfair

Some interviews are genuinely bad: obscure trivia questions, problems that require specific knowledge the interviewer has, hostile or dismissive interviewers, or processes that take weeks of unpaid work.

You can't fix a bad process from the candidate side. But you can evaluate it. A company's interview process tells you how they think about people. If the interview is disrespectful of your time, the job probably will be too. If the interview is a gotcha game, the culture is probably competitive rather than collaborative.

It's acceptable to withdraw from a process that doesn't respect you. "I don't think this is the right fit" is a complete sentence.

For Interviewers: Running Better Interviews

What Most Interviews Get Wrong

Testing memorization instead of reasoning. "Implement a red-black tree" tests whether someone studied red-black trees. It doesn't test whether they can design a system, debug a problem, or collaborate with a team. Use problems that test reasoning, not recall.

Optimizing for false negatives. Most interview processes are designed to avoid hiring someone who isn't good enough. The cost: rejecting people who are excellent but don't perform well in artificial conditions. If your process rejects 90% of candidates, you're almost certainly rejecting great people.

Ignoring the candidate experience. An interview is a two-way evaluation. The candidate is assessing whether they want to work with you. A hostile, disorganized, or disrespectful interview process turns away the best candidates — because the best candidates have options.

Better Interview Design

Use real work. Instead of algorithmic puzzles, give candidates a problem similar to what they'd actually do on the job. Code review an existing PR. Debug a real (sanitized) bug. Design a system to handle a real requirement. Pair program on a feature.

Real work interviews assess relevant skills in a realistic context. They're also more comfortable for candidates because they feel like actual work rather than a performance.

Structured evaluation. Define what you're evaluating before the interview. Use a consistent rubric across candidates. Without structure, interviews become gut-feel decisions influenced by bias — interviewers prefer candidates who are similar to themselves.

A rubric might include: problem decomposition (1-5), code quality (1-5), communication (1-5), handling of edge cases (1-5), collaboration (1-5). Each dimension is scored independently. The total score is compared across candidates.

Time-boxed take-homes. If you use a take-home exercise, make it realistic (2-4 hours, not 20), clearly scoped, and respectful of the candidate's time. Pay candidates for take-home work if it exceeds 2 hours. Their time has value even when they're job-seeking.

Interviewer training. Interviewers should be trained on: how to evaluate consistently, how to avoid leading questions, how to recognize and mitigate bias, and how to create a comfortable environment. Most companies don't train interviewers. Most interviews suffer for it.

What to Actually Evaluate

For most engineering roles, you need to know:

1. Can they solve problems relevant to the work? Not abstract puzzles — actual problems they'll encounter.

2. Can they write clear, maintainable code? Not optimal code — code that a teammate can read and modify.

3. Can they communicate technical ideas? To peers, to non-technical stakeholders, in writing.

4. Do they learn from feedback? When you suggest a different approach, do they engage or resist?

5. Would the team enjoy working with them? Collaboration, openness, curiosity.

If your interview process doesn't evaluate these five things, it evaluates the wrong things.

The Honest State of Technical Hiring

Technical interviews are imperfect. They create false positives (hiring people who interview well but work poorly) and false negatives (rejecting people who work well but interview poorly). No amount of process optimization fully solves this because interviews are inherently artificial environments.

The best we can do — from both sides — is design processes that are respectful, relevant, and structured. Candidates can prepare by practicing communication and pattern recognition. Interviewers can improve by using real work, structured rubrics, and trained evaluators.

The process isn't fair. Navigating it skillfully and improving it deliberately are both worth the effort.

Key Takeaway

Technical interviews evaluate thinking, communication, and collaboration more than memorization. Candidates: practice narrating your thought process, learn common problem patterns, prepare behavioral stories, and evaluate the company during the interview. Interviewers: use real work instead of puzzles, apply structured rubrics, respect candidates' time, and train your interviewers. Both sides benefit from acknowledging that the process is imperfect and working to make it less so.