Answer "tell me about yourself" in 60 to 90 seconds using present, past, future: what you study and are working on now, one or two experiences that led you here, and why this internship is the next step. Keep it about the work, end on the role you are interviewing for, and skip your life story.
The call connects, you say hi, and before you've even settled in: "So, tell me about yourself."
It sounds like small talk, which is exactly why it catches so many people off guard. You either freeze or ramble through your whole life starting from high school. Neither is great. And it's the first thing they hear from you.
Here's the reframe that makes it easier: this isn't small talk. It's you setting the agenda for the rest of the interview. Whatever you mention is what they'll ask about next. That's a lot of control, if you use it on purpose.
What they're really asking
"Tell me about yourself" really means: give me the short version of why you're here, for this role. They want three things: what you're doing now, what you've done that's relevant, and whether this internship makes sense as your next step.
They're not asking where you grew up or what your hobbies are, and they don't want your résumé read back to them. They already have it.
The structure: present, past, future
Present (15–20 seconds). What you study, what year you're in, and what you're working on right now that relates to the role.
Past (30–45 seconds). One or two experiences that got you into this and gave you skills for it: a project, a job, a class, a club role. Pick what's most relevant to this internship, not what's most impressive overall.
Future (15–20 seconds). Why this internship is the natural next step, and what you want to learn there. This is the part that ties your story to their team.
Aim for 60 to 90 seconds. Under a minute can feel thin. Over two and you've lost them.
An example you can adapt
Here's a made-up example for a data analyst internship:
"I'm a junior studying economics with a minor in statistics, and right now I'm most interested in how companies use data to make pricing decisions.
That started in an econometrics class last spring, where our group analyzed ten years of local housing data to figure out what actually moved prices. I ended up doing most of the data cleaning and modeling in Python, and honestly liked that part more than I expected. Over the summer I worked at a family business and built a simple spreadsheet model to track which products were actually profitable, which changed what they reorder.
I'm applying here because your team works on exactly that kind of question at a much bigger scale, and I want to learn how analysis turns into real decisions inside a company."
That's about 75 seconds out loud. Every sentence is about work, each experience has one concrete detail, and it ends pointing straight at the role.
What to leave out
- Your full backstory. Start where it's relevant, usually college.
- Everything on your résumé. Two strong examples beat six quick mentions.
- Apologies. "I don't have much experience, but…" plants the doubt before you've said anything good.
- A memorized script. Know your three beats, not every word. Memorized answers sound memorized, and nerves make them worse.
Prep it in ten minutes
- Write one sentence for present, two for past, one for future.
- Say it out loud with a timer. Cut until it's under 90 seconds.
- Tweak the "past" and "future" parts for each company.
- Be ready to go deep on anything you mention. If you bring up a project, expect five minutes of questions about it.
The quiet advantage
Because you choose what to mention, you choose what they ask next. Bring up the project you know best, and the next question will probably be about the project you know best. Nail this answer and the rest of the interview happens on your ground, which does a lot for the nerves.
Where UTern fits
UTern includes interview practice for the roles you're applying to, grounded in what you've actually done, so you can rehearse answers like this before the real thing. It's free for students. See how it works.