The Art of the Interview

2017 Talent Management Conference & Exposition
Workplace Application: You will learn effective interviewing and selection techniques that will improve your hiring results.

The goal of the interviewer is to gather the right kind of applicant information—the kind that accurately predicts future job performance and success. Correctly identifying high-performers requires more than just skill assessment or random interview questions. This session will teach you powerful how-to techniques for gathering quality information. No matter how many years you've been interviewing, you'll leave this session a better interviewer than when you came in! You will learn:

·         What makes an interview question effective or ineffective.

·         How to get applicants to let their guard down so they talk more openly, sometimes getting surprised by what they share.

·         A technique for getting past applicants’ canned answers about their weaknesses and how to gather useful
           information about weaknesses.

·         How to reveal the real reason an applicant left a previous job and why his or her first answer usually isn't the truth. 

Date(s) & Time(s): 
Monday, April 24, 2017 - 1:30pm to 2:45pm

Carol Quinn


Carol Quinn is the world’s leading expert on interviewing and hiring effectiveness. She is the creator of motivation-based interviewing, an interviewing method specifically developed for hiring “High Performers.” She is the author of the #1 SHRM-published book on hiring – and it’s been their #1 best-seller on hiring for the past five years straight. She is passionate about making sure organizations and their interviewers know how to single out those job candidates who will go above and beyond from those merely pretending. But there is one thing that Carol is even more passionate about… and that’s sharing her wisdom with others.

Crystal Ballroom A, West Tower, Lobby Level
Amount of Credit: 
Credit Type: 
Session Type: 
Concurrent Session
HR Expertise
Intended Audience: 
Hide from On Demand: