Story points

Story points are a relative measure of how much effort a task will take, used by agile teams instead of estimating in hours. A task estimated at 2 points is meant to be roughly twice the effort of a 1-point task. The point is to estimate relative size and uncertainty rather than pretend you can predict exact hours — because humans are reliably bad at the latter and somewhat better at the former.

Why not just estimate in hours?

Hour estimates carry false precision and turn into commitments people get held to. Story points deliberately blur the resolution: they bundle complexity, risk, and unknowns into one fuzzy number. Teams usually estimate on a modified Fibonacci scale (1, 2, 3, 5, 8, 13) so that larger items get coarser estimates — reflecting the reality that big tasks are inherently less predictable.

How story points feed velocity

Over several sprints, a team adds up the points it completes per sprint to calculate its velocity. Velocity then becomes a planning input: if a team reliably finishes ~20 points per sprint, it shouldn't pull 35 points into the next one. Points only have meaning within one team — they are not comparable across teams.

Why most small teams skip them

Story-point estimation pays for itself when a team needs to forecast delivery dates for stakeholders across many sprints. For a solo developer or a team of three shipping continuously, the estimation ceremony is pure overhead — you already know what's big and what's small, and there's no stakeholder asking for a points-based forecast.

How GritShip handles this

GritShip has no story points, no estimation fields, and no velocity charts — by design. The target user ships continuously and prioritizes with a simple P1–P4 system rather than relative estimation. If your team genuinely needs points-based forecasting, Linear and Jira are better fits.