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Manager Tools

How To Be A Positive Interviewer - Part 2

Manager Tools

Mike Auzenne

Management, Leadership, Strategy, Feedback, How-to, Skills, Advice, Development, Careers, Coaching, Business

4.61.4K Ratings

🗓️ 9 February 2026

⏱️ 33 minutes

🧾️ Download transcript

Summary

Too many managers make the mistake of thinking they have to be a "tough" interviewer. They think that interviewing is adversarial. They think they need to apply pressure to see how candidates react. But in fact, positive interviewing is much more effective, both in terms of outcomes and in terms of offer acceptance rates.

Transcript

Click on a timestamp to play from that location

0:00.0

Welcome to Manager Tools.

0:02.5

This is Sarah.

0:03.9

And I'm Mark.

0:04.8

Today's podcast, How to Be a Positive Interviewer, Part 2 of 2.

0:09.1

This guidance answers these questions.

0:11.9

How can I be a positive interviewer?

0:14.8

And that doesn't mean just saying yes all the time.

0:17.4

Why should I avoid being a tough interviewer? What's better about being a positive rather than a tough or negative interviewer?

0:26.9

If you want answers to these questions and more, keep listening.

0:32.1

If you're an experienced manager who leads well, but isn't yet accountable for an entire organization,

0:41.3

our effective senior manager conference is built for you. The transition from managing individual contributors to leading other managers is rarely defined,

0:46.3

yet it's the gateway to the executive level, and we will help you bridge that gap.

0:52.3

You'll learn how the director role truly differs,

0:56.5

how to set strategic goals with measurable outcomes, and how to lead through other leaders. We'll cover

1:02.7

tools like the Nine Box Matrix, communication rhythms that scale, and how to navigate

1:08.1

organizational change. If you're ready to lead at the next level,

1:12.0

this training will show you how.

1:14.3

Visit us online at manager-dash-tools.com

1:18.0

forward slash ESMC to learn more.

1:22.7

So here's what we found in analyzing the data

1:27.4

based on those criteria we were looking at

1:30.3

and a very large sample set.

...

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