Team

The Team page is the whole-team view. It answers three questions at a glance: what work is shared across the team, how loaded each person is, and what is on deck this week. It appears once you are on a team; solo accounts do not see it.

Team workload

One bar per teammate shows how much of their available week is already committed: allocated hours against the hours they have painted as available. The bar fills toward 100% and the label keeps the real figure even when someone is over-allocated, so an overloaded teammate is obvious.

Privacy. Allocated hours include private plans as totals only. The figure reflects how busy someone is across everything, but plan names and tasks from private plans never appear here.

Shared Gantt

A rolling next-seven-days board, with one lane per teammate. Topolog schedules each person as a single resource, so a member is never double-booked and different people run in parallel. Their tasks from different plans interleave on their lane and coalesce into clean bars (a week of work becomes one bar; a weekend gap or an interrupting task splits it).

Bars come from fully-shared team plans and from the shared (assigned) nodes of your own private plans. A private plan’s unassigned tasks never surface, and its name shows as a generic label rather than the real title, so contributing a shared task never exposes the rest of the plan.

What crosses the privacy line, and what does not

Only shared plans and shared nodes ever appear as content on this page. Another teammate’s private plan is never read, named, or shown. The only thing a private plan contributes is its aggregate weight: its hours roll into that person’s workload totals (a number), never its details. This is deliberate, so the workload view is honest about who is busy without leaking what anyone is working on.

Related

• The scheduler - how per-person hours and availability drive each plan’s schedule.
• Causal threads & parallelism - how independent lanes run at the same time.
• Finalize and Activate - a plan must be active to contribute to team workload.