~/talk

3 Data-Driven Burnout Indicators

name:Dan Lines
links:none on file
slides:none on file

Describes three measurable indicators derived from team data that the speaker uses to detect developer burnout on distributed teams during COVID-era remote work. Focuses on practical, data-driven monitoring approaches managers can apply to keep engineering teams rested and healthy, drawing from the speaker’s experience at LinearB and prior engineering leadership roles.

AI-written summary · about

  1. 0:00Start
  2. 0:36Elite engineering organizations
  3. 1:21Since the shift to work-from-home..
  4. 1:49Burnout indicator: high consecutive days worked
  5. 2:37Burnout indicator: high work in progress
  6. 3:22Burnout indicator: context switching
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