Decision-Making Style Test
General Decision-Making Style (GDMS)
How do you make decisions — rationally, intuitively, or by relying on others? Based on Scott & Bruce's (1995) General Decision-Making Style model, this test measures rational, intuitive, dependent, avoidant, and spontaneous styles. 20 items.
What This Test Is About
Ever wonder how you make decisions? Some people weigh every option carefully before choosing. Others go with their gut. Most of us fall somewhere in between depending on the situation.
This test looks at how you approach decisions in general — whether you gather lots of information, analyze pros and cons, or trust your instincts. It doesn't say one style is better than another. Different situations call for different approaches.
How It Works
20 items, each rated on a 5-point scale from "Strongly Disagree" to "Strongly Agree." The test measures your general tendency across different decision-making scenarios. Higher scores suggest a more thorough, analytical approach. Lower scores suggest a quicker, more intuitive style.
What Your Score Means
Lower scores — You tend to decide quickly. Overthinking isn't usually your problem. You trust your gut and move on.
Moderate scores — You balance analysis with action. When the stakes are high, you slow down. When they aren't, you don't overthink it.
Higher scores — You gather information systematically and weigh options before committing. This can lead to better outcomes, but it can also lead to decision fatigue when the choices are small.
*This is a self-assessment tool for personal reference. It is not a diagnostic instrument.*
Scoring Guide
Five independent decision style scores: Rational, Intuitive, Dependent, Avoidant, Spontaneous. 4 items per style.Result Interpretation
Finish the 20 questions and you get your results straight away — no account, no sign-up, no waiting.
We calculate your total from your answers, then give you a plain-language explanation of what the numbers mean. Where a test has sub-scales, each dimension gets its own score. Whenever possible, we also show how your results compare to population norms.
详细报告 📊
Get an in-depth analysis with dimension breakdowns, population comparisons, and actionable recommendations.