Assess Changed-surface coverage
Rate how well changed-surface coverage supports the decision. It contributes 40% of the result.
MVP DECISION TOOL
Estimate regression exposure after an AI-generated change from change breadth, coverage, and verification evidence.
YOUR INPUTS
Use the most recent information available. Your result is calculated from these values.
YOUR RESULT
Rate how well changed-surface coverage supports the decision. It contributes 40% of the result.
Score automated-test coverage independently so a strong first factor does not hide a material gap. It contributes 35%.
Rate manual verification coverage, then use the weighted result to decide what to validate or improve first. It contributes 25%.
Continue learning: More cursor / github copilot / replit / lovable comparisons guidance from MVPHub
It combines ratings for changed-surface coverage, automated-test coverage, and manual verification coverage into a focused planning signal.
The weight reflects how directly this factor affects the decision. Every weight is shown so the result remains explainable.
Improve the weakest input, collect the missing evidence, and reassess when the situation changes.
| Feature | MVPHub | Miro | Notion |
|---|---|---|---|
| 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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