In part 4 of our engineering KPIs series, we discuss how to measure progress toward the team’s deliverables.
Popular Topics
Strategic Alignment R&D Cost Capitalization Productivity Distributed Teams Engineering OperationsBrowse Categories
Cycle Time vs. Lead Time: Know the Difference!
Cycle Time and Lead Time are so similar that EMP vendors and engineering teams alike treat them as the same metric. We discuss the appropriate context to apply each metric.
10 Engineering KPIs Leaders Should Know Part 3: Process
In part three of our 10 KPIs technical leaders should track, we break down metrics about process.
Lead Time – let’s re-evaluate how we measure this DevOps Metric
Lead time is one of the four DORA metrics that are key to measure. But there’s a fair amount of ambiguity surrounding WHEN to start measuring lead time. We discuss our unique approach to measuring this metric effectively.
10 Engineering KPIs Technical Leaders Should Know Part 2: Quality
In part two of our blog series on engineering KPIs technical leaders should be tracking, we examine metrics that measure quality.
Why We’re Named Jellyfish
To celebrate World Jellyfish Day, we answer the question: how did Jellyfish get its name?
What are DORA metrics? And why is everyone talking about them?
We examine the origins of DORA metrics, and why they’ve become the benchmarks for measuring the maturity of DevOps teams.
Jellyfish Adds DevOps Metrics to its Engineering Management Platform
Jellyfish, the pioneer of Engineering Management Platforms, today announced the launch of Jellyfish DevOps Metrics, a new feature that allows software development and DevOps teams to track and optimize software delivery.
Jellyfish DevOps Metrics: Making DevOps Measurable
Jellyfish is excited to officially announce DevOps Metrics. In this post, we discuss Accelerate, DORA metrics, and how technology is enabling leaders to measure progress against their continuous delivery goals.
10 Engineering KPIs Technical Leaders Should Know Part 1: Investment
As an Engineering leader, exactly which data should you pay attention to? What metrics should you be tracking as your team’s key performance indicators (KPIs)? In this series of posts, we will present some of the KPIs that can help technical leaders answer these questions.