/plushcap/analysis/cast-ai/cast-ai-4-no-nonsense-metrics-for-measuring-your-engineering-teams-ability-to-execute

4 no-nonsense metrics for measuring your engineering team’s ability to execute

What's this blog post about?

Nine out of ten startups fail to reach the late majority stage due to their inability to deliver and execute quickly. The fate of a company depends on its product team's efficiency. However, measuring this efficiency is challenging as traditional metrics like lines of code, velocity, and hours worked are not helpful. Instead, focusing on user value created and engineering excellence can help measure team performance effectively. Key ingredients for high-performing teams include autonomy, mastery, and purpose. Super metrics such as deployment lead time, deployment frequency, mean time to recovery (MTTR), and change fail percentage can provide valuable insights into a team's efficiency. These metrics also contribute to culture, time to market, and other related aspects.

Company
Cast AI

Date published
Feb. 11, 2022

Author(s)
Augustinas Stirbis

Word count
3138

Hacker News points
None found.

Language
English


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