Decision Science (MCDA)

Kepner-Tregoe Decision Analysis

Structured evaluation using mandatory MUST criteria, weighted WANT criteria, and adverse consequence assessment

Rubric Type

weighted-sum

Complexity

medium

Extractor

technical

Required Inputs

SolveRight's AI extractor automatically derives these data points from your decision description:

  • ✓must criteria
  • ✓want criteria
  • ✓alternatives
  • ✓adverse consequences

Best For

ConsultantsProduct ManagersEngineers

How Kepner-Tregoe Decision Analysis Works in SolveRight

When you run a decision through SolveRight, Kepner-Tregoe Decision Analysis is one of up to 155 frameworks that analyze your options simultaneously. The AI extractor identifies 4 key data points from your decision description, then the weighted-sum rubric computes a normalized 0-100 score for each option. This score is combined with results from other frameworks to produce your overall ranking, with contradiction detection highlighting where Kepner-Tregoe Decision Analysisdisagrees with other methodologies.

Kepner-Tregoe Decision Analysis — Frequently Asked Questions

What is Kepner-Tregoe Decision Analysis?+
Structured evaluation using mandatory MUST criteria, weighted WANT criteria, and adverse consequence assessment. In SolveRight, Kepner-Tregoe Decision Analysis uses a weighted-sum rubric to compute a normalized 0–100 score for each option.
When should I use Kepner-Tregoe Decision Analysis?+
Kepner-Tregoe Decision Analysis is best suited for Decision Science (MCDA) decisions. It evaluates factors like must criteria, want criteria, alternatives, making it valuable when you need systematic multi-criteria analysis backed by decision theory.
How does SolveRight use Kepner-Tregoe Decision Analysis?+
SolveRight runs Kepner-Tregoe Decision Analysis alongside up to 154 other frameworks simultaneously. The AI extractor identifies 4 key data points from your decision description, then the weighted-sum rubric computes deterministic scores. If Kepner-Tregoe Decision Analysis disagrees with other frameworks, contradiction detection highlights the divergence.
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Related Decision Science (MCDA) Frameworks

Weighted Decision Matrix

Scores options against weighted criteria for systematic comparison

Analytic Hierarchy Process (AHP)

Derives priority weights from pairwise comparisons with consistency check

Multi-Criteria Decision Analysis (MCDA)

Formal multi-criteria evaluation combining multiple scoring methods

Regret Minimization Framework

Evaluates options through the lens of future regret minimization

ANP (Analytic Network Process)

Extends AHP to handle interdependencies and feedback between criteria and alternatives

TOPSIS

Ranks alternatives by closeness to ideal solution and distance from anti-ideal solution