MVP DECISION TOOL

RegressionLens

Estimate regression exposure after an AI-generated change from change breadth, coverage, and verification evidence.

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

How it works

1

Assess Changed-surface coverage

Rate how well changed-surface coverage supports the decision. It contributes 40% of the result.

2

Check Automated-test coverage

Score automated-test coverage independently so a strong first factor does not hide a material gap. It contributes 35%.

3

Use Manual verification coverage to choose the next action

Rate manual verification coverage, then use the weighted result to decide what to validate or improve first. It contributes 25%.

Frequently asked questions

What does RegressionLens measure?

It combines ratings for changed-surface coverage, automated-test coverage, and manual verification coverage into a focused planning signal.

Why is Changed-surface coverage weighted at 40%?

The weight reflects how directly this factor affects the decision. Every weight is shown so the result remains explainable.

How should I use a low RegressionLens score?

Improve the weakest input, collect the missing evidence, and reassess when the situation changes.

How We Compare

Feature MVPHub MiroNotion
RegressionLens weighted calculation Included Limited Limited
Input-specific next step for changed-surface coverage Included Limited Limited
Flexible collaboration workspace Limited Included Included

RegressionLens turns three focused inputs into a transparent weighted result. Miro and Notion are flexible workspaces for documenting the surrounding research, decisions, and follow-up work.

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