Team Capacity Planning Software
Capacity planning that runs on optimism finds out it was wrong on the deadline. ShipSprint's runs on your team's actual measured velocity instead.
The plan is usually fine. The velocity behind it usually isn't checked
Most capacity plans are built once, in a spreadsheet, at the start of a quarter, a headcount number, a rough estimate of story points per sprint, and a date that falls out of the arithmetic. Then the quarter runs, velocity turns out to be different from the guess, and nobody revisits the plan until the date is already blown and someone's writing an apology to a client.
ShipSprint's capacity planning isn't a document you build once. It's a live number, recalculated as sprints actually complete, so the plan updates itself against reality instead of waiting for someone to notice the gap between what was promised and what the team can actually produce.
That distinction, a plan you build versus a forecast that maintains itself, is the whole difference between finding out a date is at risk in week two of a twelve-week project and finding out in week eleven.
It also changes who's responsible for noticing the drift. In the spreadsheet version, catching a slipping plan depends on someone remembering to reopen it and compare against reality, a task that competes with everything else on a manager's list and reliably loses. In the live version, nobody has to remember; the forecast recalculates whether or not anyone thought to check it that week.
Planning against measured velocity, not a guess
The mechanics behind a number you can actually plan hiring and commitments around.
Delivery dates are calculated from the team's measured velocity as sprints complete, not from an estimate made before any sprint had actually run.
Because the forecast recalculates continuously, a date sliding out of reach surfaces weeks early, while there's still time to move scope or add people to the team.
Planning accounts for approved leave and time out of office, so a quarter's plan isn't quietly assuming everyone is at their desk every single working day.
The owner command center rolls up capacity and forecast risk company-wide, so a resourcing gap in one team doesn't stay a surprise to everyone else until it's too late.
Logged hours sit next to the task just finished, taking about five seconds, the raw input a velocity number is only ever as honest as.
Merged pull requests close engineering cards automatically, so the velocity feeding the forecast reflects what actually shipped, not what someone remembered to update on a board.
What "weeks early" changes in practice
A forecast that flags risk on the day something was due is not a forecast, it's a postmortem with worse timing. The value of ShipSprint's approach is entirely in the lead time: if velocity trends show a release is drifting three weeks before the date, there's still a real decision to make, trim scope, borrow someone from another team, or reset the date with a client while it's still a planning conversation instead of an apology.
That lead time only exists because the forecast is derived from data the team was already producing, completed sprints, logged hours, rather than a check-in someone has to remember to run. Nobody has to schedule a "capacity review" meeting for the forecast to update; it updates because the sprint closed, which happens whether or not anyone was thinking about capacity that week.
Planning across a quarter, not just a sprint
Because forecasts compound as more sprints complete, the further out you're planning, the more the number is worth trusting, a single sprint's velocity is noisy, but a quarter's worth of completed sprints gives a trend a hiring decision or a client commitment can actually be built on. Delivery risk and workload-right-now are related but different questions: this page covers the forward-looking forecast; day-to-day balancing across people is covered on ShipSprint's workload management page.
The same forecast logic that flags a date at risk also works in reverse, if a team is consistently beating its estimates, that shows up too, which is useful information when deciding whether there's room to take on one more project this quarter rather than always assuming the plan is optimistic.
None of this requires a separate planning tool or a quarterly ritual of copying numbers into a spreadsheet. The forecast lives next to the boards it's calculated from, so checking "are we still on track" is a screen a manager already has open, not a document they have to go find and hope is current.
It also holds up better across a longer planning horizon than a single estimate does. A quarter's roadmap built on one optimistic guess tends to be wrong in one direction consistently, every sprint runs a little over, and the gap compounds silently until the date arrives. A forecast rebuilt from each completed sprint corrects itself continuously instead of carrying the same error forward for three months.
Turning a forecast into a hiring decision
Say a team's velocity, measured across the last five sprints, puts a twelve-sprint roadmap at fourteen sprints if nothing changes. That's not a crisis on its own, it's information, delivered early enough to do something useful with. The options at that point are ordinary ones: cut scope, extend the date, or add capacity, and each is a much easier conversation two months before the deadline than two weeks before it.
If the answer is "add capacity," the same forecast gives a rough answer to how much, because it's built from actual throughput, adding a person's worth of measured velocity to the projection shows whether that closes the gap or just narrows it. That's a more grounded starting point for a hiring or contracting decision than "we feel behind," even though it's still ultimately a judgment call a person has to make.
The forecast doesn't make the decision. It just makes sure the decision gets made in week two instead of week eleven, while it's still a choice rather than an admission. Teams who've run a full quarter on ShipSprint's forecast tend to describe that shift the same way: fewer date conversations happen as apologies, more of them happen as plans.
Common questions
A few completed sprints give it something real to measure. It's derived from your actual velocity, so it needs a track record to work from, it isn't useful from day one, but it becomes more reliable with every sprint that closes.
Yes, capacity figures are leave-adjusted, so a plan doesn't assume full availability from someone who's booked two weeks off in the middle of the forecast window.
Yes, on Business, the owner command center rolls up capacity and forecast risk across every team on one screen, which is where quarter-level resourcing decisions actually get made rather than in a spreadsheet someone assembles once a month.
Forecasts and the owner command center are on Business, ₹599/user/month or ₹6,499/year. Every trial runs on full Business access for 14 days, so you can see real forecasts against your own data before committing. See pricing.
Nothing automatic, the forecast surfaces the risk, and it's still a human decision what to do about it. The value is having that disagreement visible weeks before the deadline instead of discovering it the week the deliverable was due.
The velocity-based forecast is most directly useful where work moves through sprints, typically engineering. HR, marketing and operations still get capacity and leave-adjusted workload visibility on their own templates, even where a sprint-style forecast isn't the natural fit.
Related pages
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