AI that turns rough ideas into specs your team can ship
ScopeForge converts briefs, feature requests, and stakeholder conversations into structured technical specs, effort estimates, and sprint plans — calibrated to how your team actually delivers.
// overview
What is ScopeForge?
ScopeForge is an AI project scoping tool for software teams. It sits between a request and the first sprint: reading unstructured input, producing a structured specification, estimating the effort, and breaking the work into tasks for your tracker.
Engineering managers, consultancies, product teams, and distributed teams use it to scope features, epics, and client projects. Because it learns from completed sprints, its estimates reflect your team's real pace rather than a generic benchmark.
brief → slack thread, notes, transcript
// output
spec → stories, criteria, dependencies
estimate → points + confidence range
sprint → tasks, owners, order
// the problem
Where scoping breaks down
Most delivery problems start before any code is written — in the gap between an idea and a plan.
Briefs that aren't buildable
Requests arrive as a Slack thread, a call recording, or a few bullet points — and someone has to turn them into requirements developers can act on.
Requirements found mid-sprint
Missing acceptance criteria, unseen dependencies, and unhandled edge cases surface after work has started, and the sprint slips.
Estimates based on gut feel
Story points drawn from memory or generic benchmarks don't reflect how your team actually delivers, so commitments rarely hold.
Stakeholders reading engineer specs
Leaders need to approve scope and trade-offs, but technical documents bury the decisions they're being asked to make.
// capabilities
How ScopeForge helps
Each stage of scoping, from the first brief to the sprint retro, handled in one place.
Brief-to-spec generation
Paste unstructured input and get a structured spec with user stories, acceptance criteria, edge cases, and dependencies. Ambiguities are flagged for review, not guessed.
Velocity-calibrated estimates
Story-point and time estimates come from your team's own throughput, with confidence intervals that show where the uncertainty is.
Sprint-ready breakdowns
Split an approved spec into tasks with suggested points, dependency ordering, and assignees matched to skills and current capacity.
Velocity learning
After each sprint ScopeForge compares estimates with actuals and recalibrates, learning which kinds of work your team tends to underestimate.
Stakeholder views
Generate plain-language summaries, trade-off matrices, and timelines from the same spec, so non-engineers can review and sign off.
Synced with your tracker
Two-way integrations with Jira, Linear, GitHub Issues, and Shortcut push tasks out and bring completed sprint data back for learning.
// pipeline
How it works
- 01
Drop in the brief
Paste a project brief, feature request, Slack thread, or meeting transcript. No template or formatting needed.
- 02
Review the spec
ScopeForge structures it into user stories, acceptance criteria, dependencies, and risk flags for your team to check and refine.
- 03
Estimate and plan
See effort estimates calibrated to your velocity, then break the spec into sprint-sized tasks with suggested owners.
- 04
Ship and recalibrate
Push tasks to your tracker. When the sprint closes, actuals flow back and future estimates adjust.
// audience
Who it's for
Engineering managers
Swap ad-hoc estimation for a repeatable scoping process and give stakeholders timelines grounded in delivery data.
Software consultancies
Turn discovery-call notes into structured proposals with estimates based on your own delivery history.
Product teams
Hand engineering a spec that PMs and developers can both work from, with a realistic timeline attached.
Distributed teams
Review specs and sprint plans asynchronously and agree on task ownership without long planning calls.
// principles
Product principles
Your history beats industry averages
Estimates are anchored to how your team has actually delivered, and your project data is never used to train models for other customers.
Flag ambiguity, don't invent answers
When a brief is unclear, ScopeForge marks the gap for a human to resolve instead of filling it with assumptions.
Show the uncertainty
Confidence intervals and risk flags make it clear which parts of a plan are solid and which need a buffer.
Fit the tools teams already use
Specs and tasks live in your existing tracker, docs, and chat, so scoping doesn't become another place to check.
Why ScopeForge?
- One flow from rough brief to spec, estimate, and sprint plan
- Consistent spec structure with acceptance criteria, edge cases, and dependencies every time
- Estimates that recalibrate as your team completes sprints
- Summaries and timelines stakeholders can approve without technical context
- Works with Jira, Linear, GitHub, GitLab, Bitbucket, Shortcut, Asana, Slack, Microsoft Teams, Notion, Confluence, Figma, and Zapier
- Plans for freelancers, engineering teams, and organizations that need cross-team dependency mapping
Scope your next feature in one pass
Paste a brief and see the spec, estimate, and sprint plan ScopeForge builds from it.