experimentation - Concepts
Explore concepts tagged with "experimentation"
Total concepts: 16
Concepts
- N-of-1 Experiments - Self-experimentation methodology where you systematically test interventions on yourself to find what works for your unique biology and circumstances.
- Feature Flags - A technique allowing teams to modify system behavior without changing code by enabling or disabling features through configuration.
- Branch - An independent line of development in version control that allows parallel work without affecting the main codebase.
- Build-Measure-Learn - The core feedback loop of the Lean Startup methodology where ideas are quickly built into experiments, measured against hypotheses, and used to learn what works.
- A/B Testing - A method of comparing two versions of something to determine which performs better.
- Fail Fast - A strategy of quickly testing ideas to discover failures early when correction is cheap.
- Intelligent Failure - Failures that occur in pursuit of worthy goals, with appropriate risk management and learning.
- Rapid Experimentation - Running quick, low-cost experiments to test ideas and learn before major investments.
- Growth Hacking - A data-driven, experimental approach to rapid business growth focusing on scalable and repeatable tactics.
- Tight Feedback Loops - Systems where the time between action and feedback is minimized, enabling rapid learning and adjustment.
- Assumption Mapping - A technique for systematically identifying, categorizing, and prioritizing the assumptions behind a product idea to determine what needs testing first.
- Hypothesis-Driven Development - An approach to product development where features are framed as testable hypotheses with clear success criteria, shifting from output to outcomes.
- Small and Riskless Bets - Making many small, low-risk experiments instead of betting everything on one big project.
- Safe-to-Fail - Experiments designed so that failure produces learning without catastrophic consequences.
- Iteration Speed - The rate at which you can complete try-learn-adjust cycles, determining how quickly you can improve.
- Improvement Kata - A scientific pattern for achieving challenging goals through iterative experimentation and learning.
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