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Define options and evaluation criteria, including weight, direction, and any mandatory threshold
Define options and evaluation criteria, including weight, direction, and any mandatory threshold.
Flagship use case · Business & Leadership
Strategic Decision Matrix
Compare multiple options across dynamic weighted criteria, mandatory thresholds, sensitivity tests, contribution analysis, and auditable exports.
App v2.0.0Site v6.2.0Local by default
Interface preview
Working application structure
This representative capture shows the application shell and primary workspace. Actual results depend on the information entered and the workflow completed.
Desktop viewport · representative interface stateOpen live application →
Visible methodAssumptions and record logic remain reviewable.
Local-first postureData handling is stated in the application.
Portable outputExports support review and continuity.
Explicit boundariesLimitations are part of the product evidence.
User and problem
Where the tool fits
Designed for: Leaders and teams comparing investments, vendors, initiatives, locations, technologies, or other multi-criteria choices.
Problem addressed: Decisions become difficult to defend when criteria, weights, thresholds, and tradeoffs remain implicit or change during discussion.
Core workflow
From input to decision-ready output
Frame→Structure→Analyze→Export
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Score each option and recalculate the weighted result
Score each option and recalculate the weighted result.
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Review contribution and sensitivity results, document the recommendation, and export the decision record
Review contribution and sensitivity results, document the recommendation, and export the decision record.
Method
Transparent calculation and record logic
The methodology is intentionally visible so users can challenge the assumptions and validate the result against authoritative evidence.
How the application works
- Normalizes criterion weights and calculates an aggregate weighted score for each option.
- Tests mandatory criteria independently so a high total score cannot conceal a threshold failure.
- Sensitivity analysis varies criterion influence to show whether the leading option is stable or fragile.
Illustrative output
1. Option B — 82.6 2. Option A — 77.4 Mandatory gates: Option B passed all Sensitivity: lead remains under ±10% weight variation
Boundaries
What the result does not prove
- Scores remain judgments and should be supported by evidence.
- The model does not remove bias; it makes assumptions and tradeoffs visible.
- A narrow score difference should not be treated as certainty, especially when inputs are weak.
Working data remains local to this browser unless the application explicitly describes an external request or the user exports a file. Browser storage can be lost when data is cleared or the device changes.