Source: Teams in a New Era: Some Considerations and Implications Lauren E. Benishek and Elizabeth H. Lazzara
A lot of workplaces have carried the same “team” template for decades—assuming teams are stable, co-located, and clearly bounded.
But that model is becoming a relic. We’re in a new era where digitized workflows and faster innovation have reshaped how collaboration happens. Much of classic team research was built on the idea of intact, consistent groups. That doesn’t match a world that’s dispersed, remote, and constantly accelerating.
The definition of a “team” is evolving fast—and the first step to navigating that shift is admitting something uncomfortable. The “real” team, as we used to imagine it, is dying.
The idea that a team stays intact from kickoff to delivery is mostly fiction. Espinosa et al. (2012) found that 84% of teams experience membership change. People rotate in and out, often quickly, and digital tools are expected to carry the context that departing members take with them.
This is a major shift from teams (as static entities) to teaming (as an ongoing process of forming and reforming). Traditional management tends to treat churn as a disruption to be reduced. But in many modern organizations, churn is the price of agility.
Fluid membership lets organizations pivot when markets shift and plug in highly specialized expertise exactly when it’s needed. As Benishek & Lazzara (2019) put it:
“The archetype of teams is changing, and fluidity is increasingly prevalent.”
In many workplaces, the “single-team employee” is basically extinct. Estimates suggest 81% to 94.9% of professionals are serving on multiple teams at the same time. This “Multiple Team Membership” (MTM) isn’t a weird edge case—it’s what happens in flatter, more dispersed organizations where skilled people are shared across projects.
When talent is spread across many teams, attention becomes the scarcest resource. And that creates two predictable psychological challenges that leaders often underestimate:
If you feel stretched thin, it’s not necessarily a personal failing. It’s what happens when you’re treated (systemically) as a shared resource in a web of overlapping work.
We often talk about interdependence—how much team members rely on each other—as if it’s a permanent trait. Traditionally it’s described as four levels:
But the reality is that shifts are needed. A high-performing team doesn’t live in just one level—it moves through them. You might do intense “Team” co-creation in a morning brainstorm, then shift into “Pooled” execution in the afternoon.
The implication for skills is clear. What matters now is transportable teamwork skills. The most valuable people aren’t the ones who “fit in” to one stable group. They’re the ones with a strong learning orientation and the tolerance for ambiguity required to keep performing while the work—and the relationships—keep shifting.
If teams are fluid and fast-moving, training can’t be static and slow. The traditional day-long, face-to-face seminar struggles to keep up—especially in a work environment where attention is fractured and priorities change weekly (or daily).
The alternative is Just-in-Time (JIT) support: small, practical interventions delivered exactly when a team hits a moment of change—new member joins, goal shifts, conflict spikes, handoffs break down.
That means moving away from “classroom learning” and toward:
The key idea: learning has to happen in the flow of work. Not as theory delivered far away from the moment it’s needed, but as immediate sensemaking while the team is actively moving.
We’ve moved from stability to fluidity, and we’re not going back. The challenge now isn’t only managing output—it’s managing the human experience inside these shifting, invasive structures.
Digitization has opened a kind of Pandora’s Box. It lets us connect global experts instantly—but it also unleashes pressure: the always-on pull of messages and notifications that blurs the boundary between work and life . As teams become even more fluid and technology even more pervasive, how do we —protect the human side of collaboration while setting sane boundaries on the tech that enables it?
For years, management thinking has idolized the “Real Team”: clear boundaries, stable membership, and high autonomy. Anything else gets written off as a “Pseudo Team.” That either/or mindset is overdue for review.
The research is blunt: the idealized “real team” is relatively rare. Most modern collaboration is messy—more like an emergent social system than a neat org chart box. Boundaries are porous, membership shifts, and “who’s responsible for what” changes as work evolves.
Instead of penalizing teams for not being tightly bounded, we need to get better at managing the messy systems that actually exist. Today, efficiency isn’t just about structure. It’s about navigating ambiguity without falling apart.
