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Design of Experiments (DoE)
Design of Experiments (DoE, DOX, or experimental design) is a formal way to design a task that explains the variation under conditions.
Purpose
DoE provides a systematic approach to:
- Identify which factors influence outcomes
- Understand relationships between variables
- Optimize processes and systems
- Make data-driven decisions with controlled experiments
Key Principles
- Control: Compare experimental groups to control groups
- Randomization: Reduce bias by random assignment
- Replication: Repeat experiments to verify results
- Blocking: Account for known sources of variation
Applications
- Scientific research
- Product development and optimization
- Process improvement
- A/B testing and experimentation
- Quality control
Related Concepts
- [[Primary Sources in Historical Research]] — research methodology
- [[Deductive Reasoning - Eliminate the Impossible]] — systematic problem-solving
- [[Pre-Mortem Analysis]] — risk assessment methodology
Source: Subin Sebastien’s Notes
Linked References
- [[Goals-Signals-Metrics (GSM) Model]]
A three-step methodology for translating abstract objectives into measurable outcomes: Goals → …
- [[HEART Framework]]
A user-centered methodology that measures UX quality through five key metrics: Happiness, …