n o ren
Systems & Organizations

The “One‑Team” Paradox Slows Delivery

When a product group splits into three “focus” squads, the same feature lands on the backlog twice as often.

A single product line that fragments its engineers into separate “focus” squads often ends up delivering slower, not faster. The paradox arises because each squad builds its own mental map of the product’s priorities, and without a shared, continuously updated view, duplicate work and coordination friction multiply. The root cause is a hidden information silo: each team assumes its roadmap is the authoritative one, while the rest of the organization operates on a slightly different version.

In practice, the duplication shows up during sprint planning when two squads independently prioritize the same user‑flow improvement, each believing they own the customer pain point. Both allocate engineers, schedule design reviews, and write specifications, only to discover the overlap during a cross‑team demo. The result is wasted effort, delayed releases, and a morale dip as teams scramble to reconcile conflicting timelines.

The deeper dynamic is that splitting a team creates a coordination tax: every additional handoff, meeting, or sync point adds a constant delay, while the perceived benefit of “focus” is illusory. As the number of squads grows, the tax grows faster than any specialization gains, leading to a net slowdown.

The remedy is not to merge back into a monolith but to create a single, transparent decision hub that continuously surfaces the highest‑priority items to all squads, ensuring that only one team works on any given piece at a time.

Separate “focus” squads generate hidden duplicate work that lengthens delivery cycles.
A shared, real‑time backlog view eliminates most of the coordination tax.

Ignoring the duplication cost inflates delivery timelines and erodes trust across the organization.

The coordination tax also amplifies when new squads are added, making scaling the model unsustainable.

1
Open your current sprint board, locate any story that appears in more than one column, and count how many such duplicates exist.
2
Schedule a fifteen‑minute “shared backlog glance” with all squad leads, then note whether any new duplicate stories are identified during the meeting.

The idea builds on classic coordination‑delay research, which shows that each added handoff adds a fixed amount of latency regardless of task size. By exposing the entire backlog to every squad, you turn many small handoffs into a single, visible decision point, dramatically cutting the hidden delay.

The paradox is strongest in environments with high‑frequency releases, because the speed of iteration makes any duplication immediately visible in release metrics, magnifying the perceived cost of “focus” squads. In slower release cycles, the duplication may stay hidden longer, misleading leaders about the true efficiency of the structure.