Hyperagility

What does hyperagility mean? While it isn’t a new term, here I’ll walk you through the details of this concept and what it means for organizations that want to achieve a complete cultural evolution.

Hyperagility: Another Buzzword?

Agility has been around for at least 20 years now. And I have to admit that, while a lot gets written about it, not much has actually evolved over time. We can describe agility, simply, as “reconnecting” with simple values like:

1. Collaboration and teamwork, over processes and tools that try to prescribe human interaction as if we were robots.
2. Results-oriented work, over management and paperwork - what’s the point of so much documentation and evidence of work, if there are no valuable results?

Agility officially emerged in the early 2000s, and framed these values within the context of software development (as it was back then), for small work groups. And even though the values themselves were broad and general, the models that in some way represented or expressed those values were built around small teams.

Context and Scale of Hyperagility

Agility originally expressed itself through non-linear, iterative work management models, like XP, Scrum, and DSDM. But all of these models proposed changes to how software development teams worked. That’s why the agile manifesto is officially called: “Manifesto for Agile Software Development .”

To understand the context agility was originally defined in, let me offer a small analogy. Let’s imagine that our company - the one we work for - is a Formula One team.

Agile Team: Formula One

What’s the goal of a Formula One team? To win races - as many races as possible, to win the championship. But for a lot of people, that goal of “winning races” translates to: being the fastest.

First Mistake: Confusing Agility with Speed

If you’re a Formula One driver, and over the radio your team tells you “we need to go faster,” the only thing you can really do is press the accelerator a bit harder, and assume that, with the same strategy but “running faster,” things will go better. The truth is that this “go faster” strategy only increases the risk.

Agility gets confused with speed for a simple reason. If you’re the person waving the checkered flag, from your perspective, the first one to arrive is the “fastest” - the simple result of a time-over-distance equation.

But victory is a combination of speed, acceleration, driving, the whole team’s pit-stop handling, the car’s setup, materials, fuel usage, tires, and so on. For the person with the checkered flag, the simple answer is “faster,” but for those who really know the sport, the equation isn’t that simple.

Being agile requires a total shift in strategy compared to a traditionalist organization.

Second Mistake: A Better Engine Doesn’t Necessarily Make You More Agile

Another mistake is thinking that simply swapping the car’s engine is enough. Sure, upgrading the engine can bring short-term benefits, but it’s a lot like changing cars entirely. The driver has to get used to and master the new engine to get “the most out of it.” Likewise, the pit crew has to train and adjust to this new engine and its quirks. And ultimately, the whole team has to adjust its race strategy to match these new capabilities.

In other words, an engine change needs to come with a new strategy. The same goes for changing any element of the team - new people, new infrastructure, and so on.

Agility is more about adaptation than about speed. So when something changes within the system - what we call systems thinking - it’s essential to assess the impact of that change on the rest of the system’s elements, and, of course, look for ways to hack that change in favor of results and everyone’s well-being.

Third Mistake: What Works at Small Scale Doesn’t Always Work at Large Scale

The last mistake is thinking that what works for one team works for everyone. Context matters enormously. In Disciplined Agile , one of the guiding principles is “context counts.” While we can set up governance models, we can’t assume something works for everything. There’s no “one-size-fits-all.”

For example, Scrum is an excellent (if incomplete) model for teamwork. But that doesn’t mean an entire organization needs to work in Scrum teams with a Scrum Master and a Product Owner. That simply ignores the context of a more complex organization.

Likewise, if I have a team of 5 or 6 people, I can run team-building activities that fit that size. But if I have teams of 100 or 120, I can’t assume the same coordination events and communication models are going to work.

So What Is Hyperagility?

Well, just like the Formula One team, being agile isn’t just about swapping the engine. Better teams need better inputs, better organizations to connect with, and a real change in the organization’s DNA.

Imagine an organization with every kind of operational problem in its IT department. An organization, like many, where the rest of the business (the non-IT areas) feels abandoned and neglected.

Now imagine that, overnight, the IT department becomes 100% effective, with no technical debt and nothing left pending.

For a few days, weeks, or months, the business areas probably won’t know what to do with that. They won’t even know how to make the most of that new “engine.” But after a while, they’ll find a way to get the most out of this “new reality.” That’s the point where the business itself becomes fully agile.

Hyperagility is nothing more than embedding agile values into an organization’s culture and everyday life. In other words, it’s the same thing as organization-wide agility at scale .

Why Does the Concept of Hyperagility Matter?

Well, hyperagility is a term you’re surely going to start hearing more and more often. In this constant cycle of renewing concepts and adjusting models, new terms will keep showing up to frame more complex ideas.

We’ve already worked through this term here - one I personally don’t use much, preferring something more understandable, like “organizational agility” or “organization-wide agility at scale.”