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Think bigger · Run lighter.

Automatically

Automatically Balance Team
Capacity Across Every Sprint

TARO reads active tasks and sprint capacity, then suggests exact reassignments to balance overloaded members before deadlines.

Automatically
How it works

From unbalanced sprint to rebalanced team in four steps

TARO reads capacity continuously, surfacing imbalances before they become missed deadlines.

1

Scan

TARO reads every task and every member's capacity

TARO keeps a live view of every member's active task count, estimated effort, due dates, and sprint commitments. Not a snapshot from sprint planning a continuous read that updates every time a task is added, moved, or completed.

2

Detect

Identifies who's overloaded, who has room, and what's at risk

TARO flags every member carrying more than they can realistically deliver before the sprint ends, and pairs them with members who have capacity now. It also surfaces which tasks are deadline-critical, so rebalancing focuses on what matters most.

3

Suggest

Exact reassignments. Not vague advice.

TARO doesn't just say Marcus is overloaded, consider rebalancing. It tells you exactly which task to move, who to move it to, and why based on their available capacity, skill match, and the deadline risk of leaving it.

4

Apply

Accept all, pick some, or ignore. Your call.

TARO's suggestions are a starting point, not a mandate. Accept all in one click, cherry-pick what makes sense, or dismiss them. Every reassignment is logged, every decision tracked, and the capacity view updates in real time as changes apply.

  • Accept all in one click
  • Cherry pick suggestions
  • Instant board update
  • Marcus: 96% → 61%. Sprint delivered on time, no surprises.
Why Workload Distribution

Six reasons teams never go back

When TARO flags an overload on Tuesday, your lead can fix it before the deadline slips on Friday the difference between visibility and surprise..

Who uses it
Deepak MehrotraDeepak MehrotraDeepak MehrotraDeepak Mehrotra

800+

product teams

Built for every team running against a deadline

Engineering leads, scrum masters, and PMs use Workload Distribution differently, but all solve one problem: capacity visible early can be managed. TARO makes sure nothing becomes a Friday surprise that was knowable on Tuesday.

Earlier overload detection

68%

Fewer missed sprint deadlines

1

Click to apply all reassignments

91%

Suggestions accepted by leads

Engineering Leads

Who has capacity for this bug? stops being a Slack message.

Engineering leads open TARO's capacity view and instantly see who has room, who's at risk, and which tasks are safest to move. What took 15 minutes in a standup resolves in 30 seconds, before the standup even happens.

More from TARO

Workload distribution is just the start

TARO's intelligence layer runs across the full task lifecycle, not just when things go out of balance.

Smart Task Creation

Type one sentence. TARO generates a fully structured task title, description, priority, due date, and assignee in under 3 seconds. No forms, no clicks.

Risk Analytics

TARO tracks overdue tasks, blocked dependencies, and sprint velocity trends, surfacing which tasks are most likely to slip before they do.

Sprint Planning

Create sprints, assign tasks, track timelines, and manage the backlog in one unified planning view with capacity context baked in from the start.

Overdue Alerts

Automated daily digests and in-app alerts notify leads and assignees before overdue tasks cascade into blocked sprints and missed milestones.

Questions & answers

Everything you need to know about Workload Distribution

Common questions from engineering leads, scrum masters, and PMs evaluating TARO's capacity management.

How does TARO calculate who is overloaded?

TARO builds a capacity score for each member from four signals: active task count in the current sprint, estimated effort per task, deadline proximity of the soonest tasks, and historical completion velocity how many tasks they typically complete per day over the last 30 days. Someone with 12 tasks and a 6-task-per-sprint average is flagged overloaded; someone with 4 tasks and 10-task capacity is flagged available. The overloaded threshold is configurable by workspace admins.