In order to reduce employee turnover, we have to start by hiring the right employees the first time. This starts by interviewing for retention, which is best done through a technique called Behavioral Interviewing.
Behavioral interviewing is said to be 55% predictive of future on-the-job behavior while traditional interviewing is only 10% predictive. So if you really want to know if the person is the right fit, you need to use behavioral interviewing. If we do not use behavioral interviewing techniques, we only have a 10% chance of finding the right candidate. Pretty scary when you consider the cost of turnover, bad performance, or the time and stress you in trying to manage a bad fit.
In this course, we will look at how to identify the best traits needed for a position, and then how to create interviewing questions that will truly help you find the candidates that best match those traits. We will also cover techniques to prepare and conduct an interview that will get you the best results.
Are you struggling to hire the right employees? Do you have a high turnover of employees? Do you hire someone who you think is going to be the perfect candidate, only to find that they seem very different from the impressions they gave during the interview?
Many people don’t hire the right employee because they don’t know how to best weed out the candidates during the interview process. This webinar will show you how to detect the best candidate for the job during the interview, so you can lower your employee turnover, reduce management and HR stress and time, and save on costs from having to re-hire for the same position again and again.
Are you struggling to hire the right employees? Do you have a high turnover of employees? Do you hire someone who you think is going to be the perfect candidate, only to find that they seem very different from the impressions they gave during the interview?
Many people don’t hire the right employee because they don’t know how to best weed out the candidates during the interview process. This webinar will show you how to detect the best candidate for the job during the interview, so you can lower your employee turnover, reduce management and HR stress and time, and save on costs from having to re-hire for the same position again and again.
Jenny Douras
Jenny Douras is President at AdvantEdge Training & Consulting. She has over 25 years of experience in management, employee development, operations, instructional design, and training. Jenny has managed teams of up to 300 people across multiple states and countries, working with several Fortune 500 clients. From this experience, she developed her Remote Employee Management Class. She also sat on the board of directors for the Rocky Mountain Chapter of the American Society for Training and Development for three years and is an active member of the Colorado training community.
50+ new Excel features so far this decade
Mindful Communication:The Key to Meaningful Conversations i…
FMLA Compliance in 2025: A Comprehensive Guide & Strategies…
Excel - 10 Key Worksheet Functions to Skyrocket Your Produc…
Managing Toxic Employees: Strategies For Leaders To Effecti…
Hiring and Retaining Employees in this Crazy Economy
Harassment, Bullying, Gossip, Confrontational and Disruptiv…
Project Management for administrative professionals
Excel Power Skills: Master Functions, Formulas, and Macros …
Outlook - Master your Mailbox - Inbox Hero Inbox Zero
Copilot and HR: An Introduction for HR Professionals
California Meal and Rest Breaks: What You Don't Know Can Co…
Bootcamp for New Managers and Supervisors: Develop These Es…
Policy Pops: Navigating DEI in the 2025 Workplace: Strategi…
Emotional Intelligence: Mastering the Emotions of Great Lea…
How To Conduct An Internal Harassment And Bullying Investig…
How to Manage the Legal Landmine of the FMLA, ADA and Worke…
The Importance of the first 5 seconds when presenting
Managing Difficult Employee Conversations
Female to Female Hostility @Workplace: All you Need to Know
How to Write Effective Audit Observations: The Principles f…
FDA Proposes Framework to Advance Credibility of AI Models