Engineering best practices for fast-moving teams

Preventing performance review bias

Engineering Metrics: Unconscious preferences can skew perceptions, biases can lead to unfair and unrepresentative assessments.

Why does deploy frequency matter?

Engineering Metrics: Let's explore the significance of deploy frequency and its implications in the software development landscape.

Efficient pull requests: the pathway to enhanced software quality

Engineering Metrics: We dive into best practices for pull requests, emphasizing the importance of a meticulous yet swift code review process.

Benefits of engineering intelligence

Engineering Metrics: The phrase "what gets measured gets managed" holds profound significance.

Building a data-driven engineering culture

Engineering Metrics: Let's explore the steps and strategies that can help teams harness the power of metrics to drive excellence.

Beyond story points and ticket status: what to measure

Points measure what the team predicted and ticket status measures what someone remembered to update. Here is what to measure instead, with examples.

The power of sprint velocity

Engineering Metrics: What is sprint velocity, and how does it fit into a broader, data-driven engineering culture?

Measuring your software delivery pipeline effectively

Engineering Metrics: Sofware delivery pipelines encompass both the 'how' - the stages like coding time, pickup time, and review time, and the 'what' - outcomes.

What is merge time?

Engineering Metrics: Among these guiding stars, merge time shines brightly, offering a glimpse into the efficiency of the engineering process.

How to accelerate engineering velocity?

Engineering Metrics: How can velocity be accelerated? Let's delve into the strategies, metrics, and tools that can supercharge your engineering velocity.

Measuring engineering performance without damaging culture

Engineering Metrics: Let's explore how engineering leaders can harness metrics to boost performance without compromising team culture.

Understanding engineering effectiveness

Engineering Metrics: Let's delve into the world of engineering metrics and explore how they can be harnessed to understand effectiveness without damaging the culture.

The 4 pillars of engineering productivity

Engineering Metrics: Enter the four pillars of engineering productivity: code velocity metrics, throughput metrics, quality metrics, and goals.

Engineering Productivity: how to measure and improve it

Engineering Metrics: Metrics like cycle time, lead time, and lines of code offer invaluable insights into the efficiency of the development process.

Improve productivity with just these 5 engineering metrics

Five engineering metrics with precise definitions, formulas, realistic targets, and the pitfalls that make most teams measure them wrong.

How to improve cycle time and estimation

Engineering Metrics: As your organization grows, understanding and optimizing the performance of your engineering team becomes a non-negotiable.

Why start measuring engineering metrics today

Without a baseline, every process change is a guess. The case for engineering metrics, the objections worth taking seriously, and a first week that works.

Enhancing engineering impact with metrics

Engineering Metrics: Organizations can enhance engineering impact through the strategic use of metrics, process optimization, and fostering a culture of continuous improvement.