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 JQ
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UID:pretalx-devopsdays-austin-2026-WZEVJQ@talks.devopsdays.org
DTSTART;TZID=CST:20260506T101000
DTEND;TZID=CST:20260506T103000
DESCRIPTION:Your best engineer says they're fine. Their resignation letter 
 arrives two weeks later.\n\nOn-call burnout follows predictable patterns. 
 Christina Maslach and the Copenhagen Burnout Inventory mapped them decades
  ago. Yet most engineering leaders still rely on 1:1 vibes to catch it. He
 re's the problem: social desirability bias means people tell managers what
  they want to hear. Fear of appearing weak\, culture of heroism\, or simpl
 y forgetting what "fine" actually feels like.\n\nIn this talk\, I'll conne
 ct burnout research to the signals hiding in your on-call data. After-hour
 s pages correlate to sleep disruption. Consecutive on-call days block reco
 very. Incident severity drives emotional load. And critically: the same lo
 ad that's routine for a veteran can break someone six months into their fi
 rst rotation.\n\nYou'll leave with:\n• A framework for detecting burnout
  before it becomes a resignation\n• Why observed data beats asking\, and
  when to combine both\n• How to have evidence-based 1:1s that get past "
 I'm fine"
DTSTAMP:20260409T222015Z
LOCATION:Inspiration A/B
SUMMARY:The Science of On-Call Burnout: Why "How Are You Doing?" Always Get
 s "Fine" - Sylvain Kalache
URL:https://talks.devopsdays.org/devopsdays-austin-2026/talk/WZEVJQ/
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