If your company is in the middle of a transformation, here’s a tough question: what, exactly, are people supposed to do differently?
For most teams, the answer gets fuzzy. A strategy shift gets announced, maybe some new goals roll out, but on the ground, the daily behaviors often stay the same. That’s a problem.
Because transformation isn’t just about what changes at the top. It’s about what changes in how people work every day.
According to McKinsey, the transformations that actually deliver results tend to focus on a specific set of behaviors. These aren’t aspirational posters on a wall. They’re practical shifts in how people collaborate, make decisions, and engage with customers. Let’s break them down.
1. Collaboration That Means Something
The word “collaboration” gets thrown around a lot. But in high-performing transformations, it’s not just a value. It’s a visible shift.
These are teams that move faster because they aren’t stuck in silos. They’re building things with each other, not just handing tasks over the fence. You’ll hear more cross-functional check-ins, more shared goals, and fewer “not my job” moments.
For hybrid and remote teams, this kind of collaboration needs intentional support. It also needs to be recognized. When teams find ways to solve across functions, that’s worth celebrating and repeating.
2. Commitment That Feels Personal
In the most successful transformations, people aren’t just compliant. They’re committed.
That doesn’t mean everyone loves every change. But it does mean they’re emotionally invested in seeing the change work. They’ve bought into the why, not just the what.
This kind of commitment shows up in small ways. People volunteer ideas. They help teammates adjust. They stay focused when things get messy. It’s a sense of shared ownership that comes from being included, not just informed.
At Good4Work, we believe this kind of commitment can and should be visible not just in engagement surveys, but in the way performance and recognition systems reflect real contributions.
3. Continuous Improvement (Not Just Big Launches)
Too many transformations are built around one big rollout. But in the best ones, change happens in layers — through small, constant tweaks.
This is the behavior of asking: “What could work better here?” every day. It’s the habit of testing, iterating, and learning, not waiting for permission or perfect conditions.
When companies recognize these micro-improvements, they send a message: it’s safe to try, and it’s valuable to refine. That mindset is especially powerful when work is decentralized and fast-moving.
4. Clarity of Goals That Actually Guides Action
You can’t shift behavior if people don’t know what’s expected. One of the strongest predictors of transformation success is clarity.
That means more than just listing new OKRs. It means making sure people understand how their work connects to the big picture. They need to know what good looks like and how to focus.
Clarity also removes friction. It helps teams prioritize, align, and move forward without second-guessing. When done well, it makes performance more transparent and less political.
5. A Real Customer Focus
Finally, the best behavioral shift isn’t just internal. It’s external. Teams that perform during transformation stay laser-focused on the customer.
They aren’t just talking about customer-centricity. They’re using feedback, testing experiences, and adapting in real time. That orientation sharpens decision-making and keeps priorities grounded in value, not just process.
For recognition systems, this opens up new ways to highlight impact, not just output. Think of the support team that spots a pattern before it becomes a churn issue, or the product designer who removes five steps from the user journey. That’s transformation in action.
Why These Behaviors Work
Here’s the common thread: none of these shifts require a full reorg or a new tech platform. They’re about building muscle memory. Behaviors that repeat, spread, and become part of the culture.
Companies that track, recognize, and reward these behaviors create real traction. And with tools like skill tokenization and decentralized recognition, we now have ways to do that at scale without bias, and without relying solely on manager memory.
If your organization is going through change, don’t just ask what needs to happen. Ask what needs to happen differently. Focus on the behaviors that drive results, and build systems that shine a light on them.
The more you recognize the right actions, the more they grow. And in transformation, momentum is everything.