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FeatureFactory

Plan

Plan sprints from real capacity, not guessed velocity

FeatureFactory matches prioritized, product plan-ready themes against the throughput your team actually delivers - so every sprint commits to work you can finish and measure.

Capacity from real throughput

Sprint capacity is derived from your team's actual delivered work over past cycles - not a guessed velocity number typed into a spreadsheet.

Prioritized, product plan-ready themes

Raw signal is clustered into scoped themes with acceptance criteria, so the backlog you plan against is buildable instead of a wish list.

Outcome-anchored planning

Every item you pull into the sprint carries the metric it is meant to move, so the plan is measurable the moment it commits.

Realistic per-person load

Capacity accounts for time off, on-call, and meeting drag, so you commit to what the team can actually finish - not an idealized headcount.

Agent-aware estimates

Work that coding agents can carry is flagged, so planning reflects the throughput of a team that ships with AI, not just human hours.

Closes the loop after the sprint

Committed vs. delivered and the promised outcome are checked back after release, so the next plan learns from the last one.

Plan from capacity you can trust

Most sprint planning starts with a velocity number that nobody fully believes. It is an average of an average, typed into a spreadsheet, and it ignores the on-call rotation, the two people on leave, and the three days lost to a launch. So teams overcommit, carry work over, and lose the ability to forecast.

FeatureFactory derives capacity from your team's actual delivered throughput and adjusts it for the real week ahead. You commit to what the team can finish, and the plan becomes a forecast you can defend to stakeholders. Dig into the underlying signal with developer velocity and engineering metrics.

A backlog that is ready to build

A capacity number is only half the equation. If the work you pull in is a pile of one-line tickets, estimates are guesses and scope creep is inevitable. Planning breaks down not because the team is slow, but because the units being planned were never buildable in the first place.

FeatureFactory clusters raw product signal into prioritized themes that arrive with scope, non-goals, and testable acceptance criteria - build-ready units a human or a coding agent can pick up without a translation step. Learn the workflow in our sprint planning guide, or see how planning connects to build and measure across the plan stage.

Because each theme declares the outcome it should move, the plan is measurable from the moment it commits - and the next sprint learns from the last one instead of repeating it.

Related tools & solutions

Frequently asked questions

A sprint planning tool helps a team decide what to commit to in the next sprint by matching prioritized, well-scoped work against realistic capacity. FeatureFactory grounds both sides in real data: capacity comes from your actual delivery velocity, and the backlog is clustered into build-ready themes instead of vague tickets. See our guide to running sprint planning.

From our design partners

“We finally have one number for whether the AI-written PRs are actually good. It changed how we staff reviews.”
SStaff EngineerSeries B fintech
“Plan from real signal, ship with agents, then see if the metric moved. That loop is the whole point.”
EEng ManagerDeveloper tools
“The measurement is transparent and the code is ours. That was the dealbreaker with the enterprise options.”
VVP EngineeringHealthcare SaaS

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