is.team logois.team

Estimate effort.
Ship on time.

Assign story points to any task. Track velocity per sprint. Plan the next iteration based on what your team actually delivers — not what you hope they will.

Point estimation per task

Sprint velocity tracking

Capacity planning

Points

36

Estimated

6/8

Velocity

38

Point Estimation

+

Velocity Tracking

+

Sprint Planning

+

Burndown View

+
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Estimation tools

Points that actually improve planning.

Story points only matter if they feed back into better decisions. We close the loop automatically.

Inline estimation

Set story points right on the task card. No separate tool, no estimation meeting spreadsheet. Click, set, done.

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Velocity dashboard

Your team's velocity updates automatically as tasks are completed. See trends across sprints and plan the next one with confidence.

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Use cases.

Review your average velocity. Pull tasks into the sprint until you hit capacity. No more overcommitting because the backlog looked small. Data-driven planning in minutes.

Highlights

Velocity-basedCapacity limitsScope controlQuick planning

Ready to estimate better?

Story points that actually help you ship.

Assign points. Track velocity. Plan sprints based on real data. All built into the board your team already uses.

Story Points in is.team

How Do Story Points Work in is.team?

is.team supports story point estimation following the Fibonacci sequence (1, 2, 3, 5, 8, 13, 21) commonly used in Scrum and agile frameworks. Each task card includes an optional story points field that team members set during sprint planning. Points aggregate at the column level, showing total effort per status, and at the sprint level for capacity planning. The sprint burndown chart tracks remaining story points against the sprint timeline, with an ideal burndown line for visual comparison. Velocity tracking across completed sprints helps teams calibrate future estimates — if the team consistently completes 34 points per two-week sprint, the planner can flag overloaded iterations. Story points also feed into the AI Workflow Planner, which suggests point estimates for generated tasks based on complexity analysis. The sprint completion summary compares planned versus actual points delivered, with unfinished work automatically offered for carry-over to the next sprint.

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