| Phase | Main task | Planning use |
|---|---|---|
| Research | Study the employer, the role and the sector | Do this early, because it shapes what you practise and which questions you ask. |
| Technical practice | Coding challenges, data structures and algorithms, or product case scenarios, depending on the role | Takes the largest share of your time for most software candidates. |
| Behavioral preparation | Rehearse answers about your work and decisions | Run alongside technical practice, since technical role interviews include both. |
| Mock interviews | Practise aloud with an alum, a peer or a recording tool | Schedule after you have some material to rehearse, then repeat. |
| Final review | Light revision, logistics and questions to ask | Keep this phase calm; avoid learning new topics. |
The phases and role-specific advice above draw on Harvard College Career Services guidance on technical interviews.
Learning how to prepare for a tech interview means researching the employer, practising the technical format your role uses, rehearsing behavioral answers and running mock interviews. Technical role interviews include both technical and behavioral questions.
This overview sits within our wider career advice for tech professionals and points to the detailed guides for each skill, so you can work through the phases in order without going deep on any single question type first.
Research the company and role
Start with the employer, because what you learn decides how you spend the rest of your time. A job interview for a tech role is rarely generic. The posting, the team and the sector all hint at which skills will be tested.
Where to look
Harvard’s career services recommends the Vault Guides for industry-specific knowledge, and notes that most of these guides include sample interview questions. That makes them useful both for understanding a sector and for seeing the kind of questions asked in it.
Beyond that, read the job posting line by line and note every skill, tool and responsibility it names. Then compare those notes with the employer’s own careers pages, which often describe how their interview process runs. Employers set their own sequence of rounds, so check the invitation or ask the recruiter what each conversation will cover.
What to write down
- Required skills. List each technology or method in the posting and mark the ones you have not used recently.
- Product and team context. Note what the company builds and who it serves, so your answers connect to real work.
- Questions for the interviewers. Draft several from your notes; they show you have done the reading.
Technical practice
Technical questions can take the form of coding challenges, brain teasers or product case scenarios, according to Harvard College Career Services. Find out which of these your role is likely to use before you commit practice time.
What to practise first
For software roles, begin with data structures and algorithms. Harvard’s guidance says a particular focus on them is usually helpful. Then work through the following in order:
- Read a coding interview book. Harvard suggests Cracking the Coding Interview as a structured starting point.
- Solve practice questions online. LeetCode and HackerRank are the platforms the same guidance names.
- Add live problem-solving. Hackathons and coding challenges give practice under some pressure.
- Practise explaining as you go. Our guide on how to answer technical interview questions covers that part in detail.
Many of these platforms offer free content, but you may have to pay a fee for premium material. Begin with the free tier and pay only if you run out of useful problems.
Product management and other roles
Product management candidates face a different mix. Harvard advises reviewing Meta’s Product Management Interview guide, which suits case-style questions better than algorithm drills. If the role is likely to include brain teasers, treat them as tests of analytical and problem-solving skills: practise talking through your reasoning rather than hunting for a trick answer.
Behavioral preparation
A behavioral interview asks about your past work, so it needs its own preparation. Harvard’s advice is to expect both technical assessments and behavioral questions in technical role interviews, which means strong coding alone does not cover the whole process.
Choose a handful of projects, team situations and problems you have worked through, and be ready to describe each plainly: what the situation was, what you did and what resulted. Your portfolio is a natural source of material, and the guide on how to build a tech portfolio explains how to make that work easy to discuss. For a broader walkthrough of answering well, Harvard points readers to its College Guide to Interviewing for in-depth instructions.
Mock interviews
A mock interview is the closest rehearsal for the real thing, and it is the phase that exposes gaps that solo practice hides. Run it once you have enough technical and behavioral material to be tested on.
Choosing a practice partner
- Alumni and professionals in tech. Harvard encourages students to connect with alumni in the tech field for mock interviews. If your school or network offers something similar, use it, since someone in the field can judge your answers realistically.
- Recording tools. Harvard also points to an AI-based practice tool that records mock interviews and gives instant feedback. This suits you if you cannot find a partner or want to rehearse repeatedly.
- Friends and peers. A friend with the question list can still help you practise speaking aloud, even if they cannot judge technical depth.
After each session, write down what went wrong and rework only those points. Repeat the cycle rather than starting from scratch each time.
Planning your timeline
The right amount of preparation depends on your starting point, the role and how soon the interview is, so no single schedule fits everyone. A candidate who already solves algorithm problems regularly needs far less ramp-up than one returning to them after a long gap. Work backwards from the interview date and give each phase a block of time.
- Set the order. Place research at the start, technical and behavioral practice in the middle and mock interviews after them.
- Give technical practice the most time. It is the hardest area to improve quickly.
- Leave a buffer. Keep space at the end for a second mock interview and for fixing weak spots.
- Adjust as you learn. If a mock interview shows a gap, move time to it rather than keeping the original plan.
Final review and interview day
Use the last stretch to consolidate, not to cram. Revisit your notes on the company, skim problems you have already solved and reread your behavioral examples. Learning a new topic now tends to cost confidence more than it adds knowledge.
Confirm the format, the platform and who you will meet. Prepare your questions for the interviewers from your earlier research, and check your equipment well before a video call.
Troubleshooting common problems
- Too many resources. Pick a book, a practice platform and a mock interview source, then stick with them instead of collecting more.
- Stuck on a problem type. Return to data structures and algorithms basics, then retry similar questions before moving on.
- Answers sound unstructured. Record a mock interview, listen back and tighten the examples that ramble.
- Unsure what the role tests. Ask the recruiter for the format, and match your practice to coding, case or brain-teaser questions as appropriate.
- Premium content is tempting. Exhaust the free material first, since many tools offer a free tier and charge only for extras.
Frequently asked questions
How long should I prepare for a technical interview?
It depends on your starting point and the role. Work back from the interview date, give technical practice the biggest block and keep a buffer for repeat mock interviews.
Will a technical interview include behavioral questions?
Yes. Harvard College Career Services advises candidates for technical roles to expect both technical assessments and behavioral questions.
Do I have to pay for interview practice tools?
Not necessarily. Harvard notes that most of these tools have some free content, although more premium content may carry a fee.
Who can run a mock interview with me?
Alumni or professionals working in tech are ideal, and an AI-based tool can record a mock interview and give instant feedback if you prefer to practise alone.
