Measuring Coherence at the Edge of Complexity: 7 Leading Indicators

The signals that predict how a team will perform were never on the scorecard. Now they can be measured.

Contributed by Carol Grojean, PhD

Recently, researchers monitored the heart rates of every player on sixteen elite competitive teams during a high-stakes tournament, capturing nearly five million heartbeats. Before each match, the winning and losing teams appeared physiologically identical, showing the same levels of readiness and nervous energy.

Then the pressure kicked in.

In the teams that emerged victorious, something remarkable happened that didn’t occur with the losing teams. Their heart rhythms began to synchronize, maintaining that shared rhythm even during the most intense moments of the game. The losing teams, on the other hand, never found that connection. Each player was left to manage their own stress, isolated in a system that wasn’t supporting them.

The signs of winning were evident in their bodies long before the scoreboard reflected it.

Researchers refer to this phenomenon as a biosignature, revealing insights that most leaders have never been able to observe.

A team functions like a shared nervous system, and when under pressure, it either comes together in harmony or falls apart, one overwhelmed individual at a time. For much of leadership history, this dynamic was invisible, relying on intuition and hope. But that’s changing. The same signals identified in that tournament can now be detected in the environments where your team operates, meaning that coherence – often dismissed as the soft stuff to address after the hard numbers – has become something leaders and teams can actively measure and influence.

The seven signals I watch

Here’s what I keep an eye on. In my work with leadership teams, I combine the Leadership Coherence Index, which assesses how a team perceives itself, with Syneurgy, the AI-driven social neurotechnology platform I use to analyze actual team dynamics. Seven key indicators help me gauge a team’s trajectory while there’s still time to adjust course.

Turn-taking and attention. Who speaks, who receives real engagement, and who is met with silence or a change of subject. This behavioral synchrony is the clearest sign of whether a team is thinking together or simply agreeing. Convergence, not just discussion. Whether a conversation leads to a shared decision or just seems to. Cognitive synchrony distinguishes a meeting that ends with agreement from one that concludes with five private plans. Physiological co-regulation. Whether team members’ heart rhythms align under pressure. This is the strongest indicator in the group and the hardest to fake, since the body reveals the truth before the narrative does. Trust dynamics. The underlying relationship pattern: whether people feel safe being honest, whether bad news is shared quickly, and whether team members address tough issues in meetings instead of outside them. Drift signals. The early warning that a team is quietly separating. Coherence usually does not fail in one sudden event. It slips away gradually: decisions made or unmade, strategies that fell apart between the meeting and reality, and the talented person who left feeling exhausted. Adaptability within alignment. This is the subtle one. The winning teams in that study were not the most in sync; they were the most adaptable while being in sync. Teams that became too rigid lost too. A system that can only maintain one shape cannot thrive in a changing world. Look for coherence that is lively, not fixed. The gap between felt and real. The difference between how a team views itself and what its physiology reveals. This is often the most valuable insight in the room. A polished team that rates itself high while its synchrony is low appears coherent but does not truly embody it. That gap usually marks where the real work begins.

Closing the gap is a different game

So, how does a team close that gap and reach what those winning teams had? Not by watching the dashboard or setting performance goals. The indicators mentioned above tell us what is happening in the team, but not how to get there. That is a whole other game.

In six weeks with twelve teams, we watched synchrony rise 31 percent, trust 27 percent, and shared focus 26 percent. That means greater psychological safety, shared reality, decision translation, adaptive learning, and engagement across the team.

From what a team does to who it is

But here is the honest part, in six weeks we can measure meaningful change, but it is not enough to make that change a habit in the team’s individual as well as collective nervous systems. Under real pressure a team does not perform its practices; it reverts to who it is. So the work is not finished when the metrics move. It is finished when coherence crosses from practice into habit, from something the team does into something the team is. That is what the winning teams had, and it is why their coherence held when everything was on the line. It is also what keeps a team from drifting back once the program ends.

So the real question these indicators put to every leader is not how their team is scoring this quarter. It is whether coherence has become who the team is, the state it returns to when the pressure peaks. Your team’s body is already telling you. The only question is whether you are willing to look.

The study referenced is “Team Synchrony Under Fire: Heart Rate Recurrence Reveals a Biosignature of Victory in Elite Esports,” Medicine & Science in Sports & Exercise, 2026.

This article was contributed by Carol Grojean, PhD, who spent twenty-two years leading multibillion-dollar transformation programs at Microsoft and over a decade studying culture, rites of passage, and human wholeness, as well as the neuroscience of how people and teams change. With a PhD in Transformative Social Change and three master’s degrees, she helps leaders and teams build the human system that turns intelligence into coordinated action.  She is the creator of the Coherence Method and developer of the Leadership Coherence Index, and she uses AI-powered social neurotechnology to measure team coherence the way a performance engineer measures a digital system.