Interviewing 101

Interviewing is like dating. You seek ‘em out but the prospect of an approaching one can be stressful. Here’s a how-to guide to make sure you get invited back out for more.

What to Wear:

  • Get on JT’s level and make sure you wear that suit and tie (ladies, you probably shouldn’t wear a tie)

  • Close-toed shoes
    • Heels are not necessary, but no more than 4” if you choose to wear them
    • NO BOAT SHOES (unless your interview is on an actual boat)
  • Feel free to wear a pop of color to show off that ~personality~
    • Do NOT let your suit be your pop of color – suits should be black, navy, or gray ideally
    • No seersucker or linen suits. Again, we’re probably not on a boat.
  • If you choose to wear makeup, don’t go too bold (i.e. please don’t wear a black lipstick to an interview unless you’re interviewing for Hot Topic or something)
  • These are general guidelines but cater your outfit to the company.

What to know ahead of time:

  • Do your research!
    • Vault guides (CCD gives you access!), Facebook stalking, LinkedIn, whatever floats your boat
  • Prepare questions for your interviewer
    • Your interview should be a conversation. They’re trying to woo you just as hard as you’re trying to woo them.
  • For behavioral interviews, come practice with us at the CCD!
  • For more technical interviews, practice with your friends!
  • Know your resume and cover letter well – be prepared to talk about them.

During the Interview:

 

  • Smile!
  • Be engaging and confident
  • Try power poses ahead of time to calm your nerves

After the Interview:

  • Follow up with your interviewer!
    • Thank them for their time and ask any follow up questions you have
    • The CCD provides complimentary thank you cards, stop by the front desk at Huff House to pick some up!

Want to practice interviewing?

The CCD offers free mock interviews to students.  Schedule one now on RICELink: Powered by Handshake!

Meghana Pannala is a Peer Career Advisor from Lovett College.  She is a junior majoring in Computational and Applied Math and Mathematical Economic Analysis.

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