AI-ASSISTED SCOPE REDUCER

MVP Scope Slicer

Reduce a broad product concept to a smaller testable slice using feature count, must-have pressure, evidence, dependencies, and delivery time.

  • Uses your inputs in a transparent calculation
  • Instant result with practical next steps
  • No signup required

Planning guidance only. Validate important decisions with customer evidence and your delivery team.

How it works

1

Count the candidate scope

Start with the features currently proposed and identify how many have been labelled must-have.

2

Apply delivery constraints

The calculation combines one feature-sized unit per five delivery days with evidence and dependency factors.

3

Protect one learning goal

The resulting feature count is a planning ceiling; retain only items needed to test the first product question.

Frequently asked questions

Does one feature always take five days?

No. Five days is a visible feature-sized planning allowance, not an estimate. Break large features down and replace it with team evidence.

Can AI coding remove the need to reduce scope?

No. Faster code generation does not remove product uncertainty, integration risk, review, testing, security, or maintenance work.

Is the recommended count a delivery commitment?

No. It is a first-slice constraint based on your inputs. Technical discovery and task-level estimates should follow.

How We Compare

Feature MVPHub GitHub CopilotCursor
Focused input-based assessment Included Limited Limited
Transparent calculation Included Limited Limited
No repository access required Included Limited Limited
Workflow-specific next steps Included Limited Limited

GitHub Copilot and Cursor are AI coding environments that can work with repository context and instructions. MVPHub calculates a scope-reduction target before implementation; it does not generate or edit code.

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