The Interview Mistake I’ve Seen in 1000+ Interviews Even Smart Candidates Make
After taking >1000 interviews for data roles, I’ve noticed one pattern that separates good candidates from great ones.
Great candidates don’t just talk about the project they’re most excited about. They talk about the project I (as the interviewer) care about.
Here’s what I mean.
Years ago, before Microsoft acquired LinkedIn, I interviewed there. I thought I had done well. I had strong technical rounds, clear communication, and relevant experience. But I didn’t get the offer.
A mentor who worked at LinkedIn took 30 minutes to debrief with me. His feedback changed the way I think about interviews.
He said, “Paras, you probably passed the tech and case study rounds. But in the other interviews, you kept talking about healthcare projects. That’s where you were working at the time, but LinkedIn isn’t a healthcare company. You had relevant tech experience too, but it didn’t come through. The stories didn’t land.”
He was right. I had done good work in tech, but I didn’t choose the right stories for that audience. I talked about what I had done recently, not what was relevant to them.
This is the mistake I see over and over again. Candidates tell stories that matter to them, not stories that match what the company is hiring for.
If you want to improve your chances of converting interviews into offers, here’s what you can do:
Look up what problems the company is solving
Ask the recruiter what the hiring manager cares most about
Tailor your talking points to those themes
Use examples from your past that mirror the challenges they’re facing
Interviewing is hard enough. Don’t make it harder by being generic.
Tell the stories that resonate. Relevance beats recency. Every time.
(Note: written w/ the help of AI tools for polishing/editing language, but the core points and personal story is raw/mine)