Technical vs Behavioral Interviews: What to Expect

Two Types of Interviews, One Goal

Most hiring processes include both technical and behavioral interviews. They test different things, require different preparation, and feel completely different to sit through. Understanding what each one evaluates helps you prepare more effectively.

Technical interviews assess your hard skills — can you solve problems, write code, design systems, or demonstrate domain expertise?

Behavioral interviews assess your soft skills — how you work with others, handle challenges, communicate, and fit the team's culture.

Most roles require both. Even highly technical positions include behavioral rounds, and even non-technical roles may include skills assessments.

What to Expect in a Behavioral Interview

Behavioral interviews are conversation-based. The interviewer asks questions about your past experiences, and you respond with specific examples. A typical round lasts 30-45 minutes and covers 4-6 questions.

Common formats:

One-on-one with a hiring manager or team member
Panel interview with 2-3 interviewers
Video call (increasingly common for first rounds)

What they're evaluating:

Communication skills — can you explain ideas clearly?
Teamwork — how do you collaborate and handle conflict?
Problem-solving — how do you approach challenges?
Leadership — do you take initiative?
Self-awareness — can you reflect on mistakes and learn?

How to prepare: Build 5-7 STAR method stories covering different competencies. Practice them out loud until each one flows in 60-90 seconds. Check our full list of behavioral interview questions for the most common prompts.

What to Expect in a Technical Interview

Technical interviews come in several formats depending on the role and company. The common thread is that you're demonstrating skills in real-time.

Coding Interviews

You solve programming problems on a whiteboard, shared editor, or take-home assignment. Companies like Google, Meta, and Amazon use LeetCode-style algorithmic problems. Startups often prefer practical coding challenges that mirror real work.

What they evaluate: Problem-solving, code quality, algorithmic thinking, and how you communicate your approach.

How to prepare:

Practice data structures and algorithms (arrays, trees, graphs, dynamic programming)
Use platforms like LeetCode, HackerRank, or NeetCode
Talk through your thought process as you solve — interviewers care about your approach, not just the answer

System Design Interviews

You design a system architecture — "Design a URL shortener" or "Design Instagram's feed." These are more common for mid-level and senior roles, but some companies include lighter versions for new grads.

What they evaluate: Scalability thinking, trade-off analysis, and understanding of distributed systems.

Take-Home Projects

You complete a coding project in your own time (usually 2-4 hours). Then you discuss your solution in a follow-up call.

What they evaluate: Code quality, architecture decisions, testing, and documentation.

Domain-Specific Assessments

For non-engineering roles, this might be a case study (consulting), a portfolio review (design), a writing sample (marketing), or a financial modeling exercise (finance).

Key Differences at a Glance

| Aspect | Behavioral | Technical | |--------|-----------|-----------| | Tests | Soft skills, culture fit | Hard skills, domain knowledge | | Format | Conversational Q&A | Problem-solving in real-time | | Prep time | Days | Weeks to months | | Answer length | 60-90 seconds per question | 20-45 minutes per problem | | What to practice | STAR stories | Algorithms, system design, domain skills | | Evaluation | Subjective (fit, communication) | More objective (correct, efficient) |

Which Is Harder?

It depends on your strengths. Many students find technical interviews harder because they require months of dedicated practice with algorithms. Others find behavioral interviews harder because they feel unpredictable and subjective.

The truth is that behavioral interviews have patterns too. The same core questions appear across almost every company. Once you have strong STAR stories prepared, you can adapt them to most behavioral prompts.

Technical interviews have a wider range of difficulty. A startup might ask you to build a simple REST API, while a FAANG company might ask you to implement a graph traversal algorithm under time pressure.

How to Prepare for Both

Behavioral Prep (1-2 weeks)

List 5-7 experiences that showcase different skills
Write STAR-formatted stories for each
Practice out loud with a timer, friend, or AI coach
Prepare your "Tell me about yourself" pitch
Research the company's values — align your stories to what they care about

Technical Prep (4-12 weeks for coding interviews)

Review fundamentals: data structures, algorithms, Big-O notation
Practice 2-3 problems daily on LeetCode or similar platforms
Focus on patterns (sliding window, two pointers, BFS/DFS) rather than memorizing solutions
Practice explaining your thinking out loud while coding
Do at least 2-3 mock technical interviews with a partner

Both

Research the company's interview process on Glassdoor and Blind
Understand how many rounds to expect and what each one covers
Prepare thoughtful questions for the interviewer
Get comfortable with silence — pausing to think is better than rambling

The Interview Pipeline

A typical hiring process for a tech company looks like:

Recruiter screen (15-30 min) — behavioral, logistics, salary expectations
Technical phone screen (45-60 min) — one coding or technical problem
On-site / virtual loop (3-5 hours) — mix of technical and behavioral rounds
Hiring committee review — decision based on all interview feedback

For non-tech companies, the pipeline is often shorter: recruiter screen, hiring manager interview (behavioral), and sometimes a skills assessment.

Final Advice

Don't over-index on one type at the expense of the other. Candidates who ace the technical round but bomb the behavioral round get rejected — companies hire people, not just skill sets. And candidates with incredible stories but who can't demonstrate competence don't get offers either.

Balance your preparation. Spend your weeks on technical practice, but carve out dedicated time in the final days to polish your behavioral stories and practice them out loud.

Practice both behavioral and technical interview skills with AI feedback. Try Starla free — get personalized questions based on your target role and company.