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Iteration speed: what fast teams actually measure

The fastest iteration loops in the world right now are not in software. Understanding why they are fast says something uncomfortable about how most delivery teams work — and points at the handful of things worth measuring.

Cycle Time vs. Lead Time: Why the Difference Matters

Cycle time and lead time are often used interchangeably in Agile conversations, but they answer different questions — and mixing them up can create a lot of confusion.

Cycle time measures how long it takes for work to be completed once someone starts working on it. Lead time measures how long it takes from the moment work is requested until it reaches production or the customer. That difference sounds small, but it changes the story entirely.

Agile Data Blind Spots: What You're Not Seeing in Jira

Hidden Dependencies and Invisible Blockers

Flow Health: What Ticket Age Quietly Reveals About Your Delivery System

Most teams monitor throughput.

They know how many tickets were completed this sprint, how many story points moved across the board, and how many releases happened last month. Those numbers are easy to surface and easy to compare over time. The problem is that they often describe output without saying much about the condition of the system producing it.

5 Practical Steps to Improve Software Delivery (Without Adding More Process)

Software delivery rarely fails because teams don’t work hard enough. More often, the issue is a lack of clarity: where time is going, what is slowing things down, and which changes actually improve outcomes.

Output Metrics — How to Accurately Track Code Throughput & Quality when Using AI

AI tools can help developers write code faster, suggest tests, and even automate parts of code review. But speed alone isn’t enough. Without measuring output quality, faster code could just mean more bugs, rework, or hidden technical debt. In this article, we explore practical techniques to track engineering output metrics, ensuring that AI actually improves productivity without compromising maintainability.

Can You Really Measure AI Impact on Developers? A Practical Framework

AI-assisted coding tools (like Copilot, AI pull-request reviewers, automated test generators, etc.) are becoming widely adopted — but the evidence for their impact on productivity and developer experience remains mixed. Some recent studies show improvements, others show no change or even slowdowns. 

Psychological Safety Is an Engineering Metric — Here’s the Proof

Most Agile teams obsess over velocity, burndown charts, sprint goals, ceremonies, tooling, and frameworks. Yet a quiet story that recently surfaced on Reddit reveals something far more fundamental: “Agile doesn’t break when the process is wrong. It breaks when people feel like they can’t be honest.” In the post, a team looked perfect from the outside—standups were quick, the board was active, and everyone confidently nodded through planning. It seemed efficient.

Velocity in the Fall: How Seasonal Factors Affect Agile Metrics

When autumn arrives, it’s not just the leaves that change colour—your Agile metrics may shift, too. Teams often notice fluctuations in velocity, throughput, or cycle time during the fall season, and while it may look like a sudden drop in productivity, the reasons are often more human than technical. Understanding these seasonal dips and spikes helps leaders respond with context instead of overreaction.

Agile Pumpkin Spice: The Overhyped Practices You Can Safely Drop

Every fall, pumpkin spice creeps into everything: lattes, candles, cookies—even shampoo. It’s comforting, trendy, and a little overdone. Agile, too, has its own “pumpkin spice” — practices that sound great, look polished, and make teams feel like they’re being Agile, but don’t actually add much value.

Back-to-School for Teams: Relearning the Basics of Agile Execution

By September, many Agile teams have sprinted through countless standups, retros, and releases. But just like students who forget the fundamentals over summer break, even high-performing teams can develop bad habits or skip essential steps.

Breaking Agile Rules: How Top Tech Companies Create Successful Hybrid Frameworks

Strict adherence to Agile methodologies might not always be the best approach. Top tech companies are breaking traditional rules to create more effective frameworks, which signals a revolution in hybrid project management.

Don't Let Summer Slow Your Sprints: Essential Agile Methodology Tips

Summer months bring a big problem to Agile methodology as productivity drops by up to 20%. Most families plan their vacations during this time - 56% of Europeans and 68% of Americans. Project deadlines don't pause because of sunny weather, and teams shouldn't choose between taking breaks and meeting targets.

How to Track Agile Maturity Using Data: From Basics to Advanced

Only about 15% of organisations consider themselves fully mature in Agile.

The numbers paint an interesting picture. About 60% of organisations remain stuck in the second or third Agile maturity stages. This expresses a key challenge teams face as they try to evolve their Agile practices beyond simple implementation.

The Hidden Flaws in Your Continuous Improvement Process (And How to Fix Them)

Continuous improvement is hailed as a cornerstone of Agile development, Lean manufacturing, and operational excellence. But let’s face it — not every continuous improvement (CI) process actually works.

Reducing Cognitive Load: The Missing Key to Faster Development Cycles

Developers spend over 10 times more time reading and understanding codethan writing it. This eye-opening ratio, noted by Robert Martin, shows why cutting down cognitive load is vital to speed up development cycles.

How to Build a Continuous Improvement Process That Actually Works

Companies like Amazon and Apple have revolutionized their operations through continuous improvement. They've optimized everything from warehouse efficiency to product features. Our ground experience shows that efforts to improve products, services, and processes can deliver amazing results with proper execution. 

Why Agile Compliance Is Failing (And How to Fix It)

Most regulated organizations fail to get results from Agile compliance, with a 75% failure rate. The evidence shows it works. Teams that use automated documentation tools cut their documentation time by 30% and stay compliant. Most organizations find it hard to balance Agile's speed and flexibility with strict regulatory requirements.

The Anti-Pattern of Agile in Name Only (AINO): How to Spot It and Fix It

Over the last decade, Agile has become the de facto standard for software development. But with popularity comes dilution. Teams and organizations adopt Agile in form but not in spirit. Enter the anti-pattern: Agile In Name Only (AINO).


The Hidden Employee Retention Strategies That Actually Work in Agile Teams [2025 Guide]

51 million U.S. workers chose to leave their jobs in 2022. This massive talent exodus makes employee retention a vital priority today. Companies spend between $25,000 and $100,000 to replace just one employee who leaves. Traditional staff retention methods often miss the mark for agile teams that need to stay motivated. Our platform, Agile Analytics, helps teams work better together.

Why Data-Backed Decisions Are the Future of Business Software Development

If your business relies on software—whether it’s a customer-facing app, an internal tool, or an enterprise platform—you’re making software development decisions, whether you realize it or not. And if those decisions aren’t based on real data, you’re gambling with time, money, and your competitive edge.

Agile Mindset vs. Agile Frameworks: Striking the Right Balance for Success

In today’s fast-paced digital landscape, Agile has become a buzzword synonymous with efficiency, flexibility, and customer-centric development. However, organizations often fall into the trap of focusing solely on Agile frameworks without cultivating the underlying Agile mindset. 

How to Collect Data on Developer Experience

Understanding and improving developer experience (DevEx) requires collecting meaningful data to identify pain points and opportunities for enhancement. By leveraging various data collection methods, organizations can create a more efficient and satisfying environment for their development teams.

Agile Transformation Pitfalls and How to Avoid Them

Agile transformation has become a buzzword in the business and technology worlds, promising increased flexibility, improved collaboration, and faster value delivery. While many organizations embark on the journey of adopting Agile practices, the road to transformation is fraught with challenges. 

Risks and Drawbacks of Spikes in Agile (and How to Mitigate Them)

In our previous article, we explored what a spike in Agile is, delving into its definition, purpose, and role in addressing uncertainty during development. While spikes in Agile can be incredibly valuable, they are not without risks and potential drawbacks. 

What is a Spike in Agile?

In Agile software development, a **spike** is a time-boxed research or investigative task aimed at solving an uncertain or unclear technical issue. Unlike typical development tasks, spikes are used to explore a problem in-depth to gather the necessary information to move forward with a project. 

Understanding the Agile Software Development Life Cycle (SDLC)

What Should We Leave in 2024: Software Development Management Edition

As we approach the new year, it’s time to reflect on the practices, habits, and trends in software development management that are no longer serving us. In this article, we’ll highlight some software development management strategies that should be left behind in 2024 and suggest more effective alternatives to embrace in 2025.

Agile PLM: Streamlining Product Development for Modern Businesses

In today’s fast-paced business environment, efficient product lifecycle management (PLM) is critical for staying competitive. Agile PLM (Product Lifecycle Management) provides a robust framework for managing product data, processes, and supply chains, ensuring faster time-to-market and higher quality outcomes.

Agile Ceremonies: Key Practices for High-Performing Agile Teams

Agile teams thrive on collaboration, transparency, and continuous improvement. To ensure these principles are upheld, Agile frameworks include a set of structured meetings known as Agile ceremonies. These ceremonies are designed to align teams, maintain focus, and deliver value incrementally. 

Why Developer Experience Teams Matter: Key Metrics to Measure Success

Your developers lose precious time when they struggle with complex tools, repetitive tasks and confusing processes instead of building features that users need.

More companies recognise this challenge and invest in dedicated developer experience teams to solve it. These specialised teams improve the development environment by removing obstacles that slow engineers down.

Agile vs. Waterfall: Choosing the Right Methodology for Your Project

Why DORA Metrics Are Just the Tip of the Iceberg for DevOps Team Productivity

Discover how DORA metrics can enhance your software team's performance and learn what steps to take next with Agile Analytics SaaS for deeper insights and continuous improvement.

What engineering intelligence actually tells you — and what it can't

Every platform in this category promises visibility. The harder question is what visibility is worth, and the honest answer involves a few things no vendor puts on a feature grid.

The secret ingredient powering the Agile Teams of Praxis.nl

Welcome to Praxis.nl's transformative journey, part of the Maxeda DIY group. From 2018 to 2021, Praxis.nl  embarked on an Agile and Cloud transformation, reshaping online digital operations. Maxeda DIY Group is a large regional DIY chain spanning the Benelux area (Belgium, Netherlands, Luxembourg) and has two highly recognisable brands: Brico for Belgium and Praxis for The Netherlands.

Introducing Agile Analytics Teams Reporting

We’ve got some exciting news from Agile Analytics. Our new feature, "Teams Reporting," is here!  It gives you all the essential metrics for each team at a glance!

Traditional Analytics or Agile Analytics: which one fits you best?

 In this article, we explore the key differences between Agile Analytics and Traditional Analytics to help organisations make informed decisions about their analytical strategies.

Embracing Autonomy using Agile Analytics: You build it, you run it

In 2006, Werner Vogels, Amazon's CTO, introduced the now-famous mantra, "You build it, you run it," which has since become a guiding principle for many organisations. This philosophy encourages empowering teams to take ownership of the products they develop, fostering a sense of autonomy and accountability. 

Stop Guessing, Start Measuring in your Quality Gate Meetings

Quality Gates serve as checkpoints or milestones within the software development lifecycle to ensure that specific quality criteria are met before progressing to the next phase. Too often, we see that while the process is implemented, the data that is ‘brought’ to the table is not empirical. We see a lot of HiPPO (Highest Paid Person’s Opinion) behaviour going on in these meetings. We believe we have a solution to that challenge! 

Set up a Blameless Post-Mortem process in 7 steps

A post-mortem is a retrospective analysis of an incident or outage that occurred in a software system. A post-mortem aims to identify the root cause of the issue, evaluate the response to the incident, and develop a plan for preventing similar incidents from occurring in the future through improvements of the software system or processes.

How to Measure Software Development Productivity

As the software development industry grows, it becomes increasingly important to measure the effectiveness of your team and the software they produce. This is where Agile Analytics comes in, providing valuable insights into software development productivity.
Measuring productivity can be a challenge, but it is crucial to ensure that your team is working effectively and delivering high-quality software.

What is agile?

Agile, Scrum, and Kanban are popular methodologies used in software development and project management. Each approach has unique characteristics, but all share a common goal: to make the development process more efficient and effective.


How to measure Effectiveness of a DevOps Team

Do you ever find yourself wondering if your software development team is working as efficiently as possible? Measuring productivity in software development can be daunting, but ensuring your team is working at its full potential is critical. Luckily, we've got you covered. We'll explore concrete ways to measure software development productivity and the various metrics and tools that can be used to do so.

What is Agile Analytics?

Agile Analytics is our amazing platform for optimizing software operations. The platform allows teams to gain insights into their entire pipeline and integrates against all the tools used rather than being limited to Jira or Git. Agile Analytics integrates various systems like your project management system (Jira, Azure DevOps), monitoring systems (AWS CloudWatch, GCP Cloud Monitor, Azure Monitor),  collaborative communication systems (Slack, Teams or Discord), and continuous delivery (like Github, Gitlab or Bit Bucket). 

Agile doesn't work...

> Agile doesn't work...

I hear it more and more.
When I use root cause analysis to find out what the problem is, it's usually due to a combination of:

1. An Agile implementation that's not very agile.
2. No metrics in place to measure success or improvements.

3 Ways Technical Debt Impacts Your Business

When a software project has to be quickly completed and delivered, despite the code not being perfect, your team is assuming technical debt to meet the deadline. In their haste to deliver software capabilities, developers sometimes engage in less-than-optimal coding practices, or ‘forget’ to test or document parts of the software. 

We are not the same - Managing Developer eXperience (DX)

If you have any internal development tools, platforms or services in your organisation that you found super easy and pain-free to onboard, then you are lucky! 
Put yourselves in your users' shoes.

Team Topologies - The Reverse Conway Manoeuvre

From the book [“Team Topologies”](https://partner.bol.com/click/click?p=2&t=url&s=1228221&f=TXL&url=https%3A%2F%2Fwww.bol.com%2Fnl%2Fnl%2Ff%2Fteam-topologies%2F9200000104858740%2F&name=Team%20Topologies) by Matthew Skelton and Manuel Pais comes an interesting fix to Conway’s Law: 

What are DORA Metrics, and why should I care

How do you know what performance of your software development organisation is? How do you prevent your engineers from getting frustrated, leaving, overworked or burnt out while at the same time get fair metrics on the performance of the team(s)?

How to setup a successful Cloud Platform Team

Most organisations have centralised (Cloud) platform teams (or they should). Setting up these teams is a fun challenge but a challenge nonetheless. In 2019  Matthew Skelton and Manuel Pais published their book [“Team Topologies”](https://partner.bol.com/click/click?p=2&t=url&s=1228221&f=TXL&url=https%3A%2F%2Fwww.bol.com%2Fnl%2Fnl%2Ff%2Fteam-topologies%2F9200000104858740%2F&name=Team%20Topologies). They share the secrets of successful team patterns and interactions to help readers choose and evolve the correct team patterns for their organisation, ensuring that the software is healthy and optimises value streams.

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Less guessing. More shipped software.