Evidence-Based Decision Making vs Intuitive Decision Making
Developers should learn and use Evidence-Based Decision Making to enhance the quality, efficiency, and reliability of their work, such as when choosing between programming languages, frameworks, or architectural patterns based on performance benchmarks, security audits, or user feedback meets developers should cultivate intuitive decision making to handle time-sensitive scenarios, such as production outages or tight deadlines, where exhaustive analysis is impractical. Here's our take.
Evidence-Based Decision Making
Developers should learn and use Evidence-Based Decision Making to enhance the quality, efficiency, and reliability of their work, such as when choosing between programming languages, frameworks, or architectural patterns based on performance benchmarks, security audits, or user feedback
Evidence-Based Decision Making
Nice PickDevelopers should learn and use Evidence-Based Decision Making to enhance the quality, efficiency, and reliability of their work, such as when choosing between programming languages, frameworks, or architectural patterns based on performance benchmarks, security audits, or user feedback
Pros
- +It is particularly valuable in agile environments for sprint planning, bug prioritization, and continuous improvement initiatives, as it reduces guesswork and aligns decisions with measurable goals like faster delivery or higher code quality
- +Related to: data-analysis, agile-methodologies
Cons
- -Specific tradeoffs depend on your use case
Intuitive Decision Making
Developers should cultivate intuitive decision making to handle time-sensitive scenarios, such as production outages or tight deadlines, where exhaustive analysis is impractical
Pros
- +It is particularly valuable in creative problem-solving, like designing user interfaces or optimizing code performance, by drawing on past experiences to identify patterns and solutions instinctively
- +Related to: critical-thinking, problem-solving
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Evidence-Based Decision Making if: You want it is particularly valuable in agile environments for sprint planning, bug prioritization, and continuous improvement initiatives, as it reduces guesswork and aligns decisions with measurable goals like faster delivery or higher code quality and can live with specific tradeoffs depend on your use case.
Use Intuitive Decision Making if: You prioritize it is particularly valuable in creative problem-solving, like designing user interfaces or optimizing code performance, by drawing on past experiences to identify patterns and solutions instinctively over what Evidence-Based Decision Making offers.
Developers should learn and use Evidence-Based Decision Making to enhance the quality, efficiency, and reliability of their work, such as when choosing between programming languages, frameworks, or architectural patterns based on performance benchmarks, security audits, or user feedback
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