Keynote: Does Anyone Speak Developer? Methods to Discover, Understand and Improve...
summary
A case study follows an ML engineer named Janice using Kubernetes, TensorFlow and Python who fails to deploy because no YAML template exists; the methods that produce actionable fixes are concrete: capture full screen recordings plus local config to reproduce issues, mine search analytics and interviews to find missing docs, run usability tests that measure success rate and task time and then ship golden paths, templates, linters and centralized support; measure uptime, MTTR and NPS and run focus groups and postmortems to validate improvements.
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chapters (6)
- 0:00Intro
- 4:28Screen Recordings
- 6:14Understanding
- 8:06Open Ended Tasks
- 10:14Journey Mapping
- 13:17Post Mortems
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