Detecting and Managing Burnout

Detecting and Managing Burnout

Stress is natural. But, when that stress overwhelms us that can lead to not just reduced personal productivity. Detecting and managing burnout is a key capability for highly productivity individuals and that’s what we discuss on this week’s episode of ProductivityCast.

(If you’re reading this in a podcast directory/app, please visit https://productivitycast.net/079 for clickable links and the full show notes and transcript of this cast.)

Enjoy! Give us feedback! And, thanks for listening!

If you’d like to continue discussing detecting and managing burnout from this episode, please click here to leave a comment down below (this jumps you to the bottom of the post).

In this Cast | Detecting and Managing Burnout

Ray Sidney-Smith

Augusto Pinaud

Francis Wade

Show Notes | Detecting and Managing Burnout

Resources we mention, including links to them, will be provided here. Please listen to the episode for context.

Good Stress, Bad Stress by Barry Lenson

Mindset by Carol Dweck, PhD

Discussion of Mindset at Productivity Book Group

A practical guide to detect early signs of burnout.”

Burnout Prevention and Treatment

What Causes Burnout and How to Overcome It

Overcoming Burnout: 10 steps to reignite your flame and shine brightly once more

Ecstatic response (or, “post-traumatic growth”)

ProdPod: Episode 112: Overcoming Burnout: Rest and Rejuvenation for Sustainable Productivity

Getting More Done Fitnesses
Getting More Done – Fitnesses

Raw Text Transcript

Raw, unedited and machine-produced text transcript so there may be substantial errors, but you can search for specific points in the episode to jump to, or to reference back to at a later date and time, by keywords or key phrases. The time coding is mm:ss (e.g., 0:04 starts at 4 seconds into the cast’s audio).

Read More

Download a PDF of raw, text transcript of the interview here.

Leave a Reply

Your email address will not be published.

This site uses Akismet to reduce spam. Learn how your comment data is processed.