Pillar Page
Decision Quality
Decision Quality is independent from Decision Outcome. A good decision can have a poor outcome, and a poor decision can be lucky.
Executive Summary
Decision Quality is independent from Decision Outcome. A good decision can have a poor outcome, and a poor decision can be lucky.
Definition
Decision Quality is the quality of a decision before the outcome is known, based on logic, evidence, alternatives, consequences and fit.
Why it matters
Decision Quality is independent from Decision Outcome. A good decision can have a poor outcome, and a poor decision can be lucky.
Key Principles
- Clarity before speed.
- Evidence before assumptions.
- Decision logic must be explainable.
Common Mistakes
- Treating outcomes as proof of decision quality.
- Optimizing one function while weakening the organization.
- Adding tools before clarifying decision criteria.
Examples
A leadership team uses this concept to review whether strategy, customer evaluation and resource allocation follow the same logic.
Best Practices
Start with the decision that creates the highest organizational consequence, then make its criteria explicit.
Related Concepts
Frequently Asked Questions
What is this concept?
Decision Quality is the quality of a decision before the outcome is known, based on logic, evidence, alternatives, consequences and fit.
How does it connect to Executive Discovery?
Executive Discovery uses this concept to identify where better decision logic could create value.
References
References will be expanded as HAUFFE Research publishes validation material.
