Latest
-
Metrics don’t tell the whole story
Metrics can clue you in on issues proliferating in your systems, but customers’ anecdotal feedback can help you catch unknown unknowns.
-
The rise – and looming fall – of acceptance rate
It has become the de facto metric for measuring the effectiveness of AI coding assistants, but is it fit for purpose?
-
AI coding trackers are here. Proceed with caution
Companies are finally starting to track AI usage within their engineering orgs. Should we be worried or remain cautiously optimistic?
-
From dashboard soup to observability lasagna: Building better layers
Transform chaotic dashboards into a layered observability strategy that improves reliability, streamlines incidents, and builds real on-call confidence
Editor’s picks
How to measure the impact of engineering in 2025
As we look to 2025, here’s four trends to look out for when it comes to measuring developer productivity.
Are DORA metrics right for your team?
DORA metrics can be a useful tool for tracking and improving performance. If you want the DORA 101 – look no further.
Deadline: January 4, 2026
Call for Proposals for London 2026 is open!
Essential reading
The Engineering Team Performance Report 2024
How do organizations measure their engineering team performance? We asked 900+ engineering leaders.
On our Reporting playlist
Make it count; A no-nonsense guide to engineering metrics for the busy leader
Gain practical insights on engineering metrics that help busy leaders prioritize effectively, address delivery challenges, and measure team performance to maximize impact and productivity.
The metrics you loved to hate in 2024
And other key findings from the 2024 LeadDev Engineering Team Performance report.
What are qualitative productivity metrics – and how do we measure them?
If your team is hitting key delivery metrics, we assume everything in the lifecycle before production is sound. However, we know that traditional metrics only tell half the story.
Delivery metrics – the good, the bad and the utterly ridiculous
As an engineering team lead, I spent countless hours pouring over data points, spreadsheets, and graphs in search of the perfect set of metrics to measure our team’s success.
Reporting effectively to the board
Accurately represent the impact of your org to senior stakeholders.
The festival for modern engineering leadership
London • June 2 & 3, 2026
More about Reporting
-
Five engineering KPIs to consider for your next board meeting
Using key performance indicators to communicate the state of your engineering org
-
Making goals a habit: A guide to reaching engineering goals
Three steps for embracing goals in your day-to-day work
-
Why engineering teams should stop counting Agile story points
Alternative metrics for measuring engineering efforts
-
Using SLOs to align business and engineering goals
What are SLOs and how can they provide a common language?
-
Five mistakes to avoid when setting OKRs for your team
A guide to setting effective engineering goals
Top Reporting videos
-
In partnership with LinearB
Start your Engineering Metrics Program with LinearB
We’re going to show you the most important team-based metrics to track, how to identify workflow bottlenecks and proven tactics for improvement.
-
Getting your engineers on board with observability
Do your engineers have visibility into your systems?
-
What engineering leaders should be measuring
Understand the best methods for analyzing the right data
-
Tradeoffs on the road to observability
SRE and infrastructure engineering are about allocating adequate time to do project work that improves the long-term sustainability of our services. But what do we reward SREs for doing? Does your company have a culture of “not invented here” or the converse of “ask the consultants to design it for us”?
-
Embedding observability into your engineering culture
The journey to thoroughly understanding your systems.
-
Creating efficient, accurate, software estimations
Estimating projects is hard. Whether it’s negotiating technical debt, understanding new requirements, or grappling with a lack of useful documents; the number of moving variables make it difficult to judge just how long a project will really take.
-
Observability that matters (and avoiding the kind that doesn’t)
The term observability has recently earned somewhat of a cult status — rapidly ascending to the ranks of “agile”, “digital transformation”, “microservices” and other such highly regarded (and perhaps often misused) labels. Suddenly every team wants to incorporate the pillars of observability into their ecosystem.
