Management is hard job! That's why you should do it like an engineer
summary
Management becomes an engineering problem: design team architecture, define human API contracts and add observability with SLOs and dashboards. Clarity matters — clarity solves 90% of problems — so require three-field JSON-style status updates (impact risk decision), set measurable SLOs, run one‑on‑ones that start with a 1–5 happiness check, and surface signals via a Slack canvas dashboard that produced a usable project status view inside Coralogix’s internal observability efforts. Practical tools and metrics, not platitudes.
AI-written summary · about
chapters (15)
- 0:00Introduction
- 3:09Management failures and team drift
- 5:39People as systems needing observability
- 8:08Management as engineering framework
- 10:33Clarity of purpose
- 13:00Human API contracts
- 16:59SLOs and exceptions
- 19:08Team observability dashboards
- 21:00One-on-ones and mental health
- 22:25Retrospectives and tribal knowledge
- 24:13Team health metrics
- 25:17Decision-making advice
- 26:42Reliable management systems
- 27:26Managers without context
- 28:29Closing remarks and Q&A
related talks
42mHow engineering managers can lead with visibility
09m"The Joys of Managing Engineering Teams"
40mThe Joys of Managing Engineering Teams
43mThe Joys of Managing Engineering Teams
22mLeading software teams with context (visibility)
50mManaging Up
39mManaging Complexity: Best Practices for Software Development Project Manager
21mHow to Increase Developer Productivity and Happiness
