Experimentation Process

An Experimentation Process is a systematic process that conducts controlled experiments through hypothesis formulation, test execution, and result analysis.

• AKA: Experimental Process, Scientific Testing Process, Hypothesis Testing Process, Controlled Testing Process.
• Context:
  • It can typically follow scientific method with hypothesis generation, variable control, and observation recording.
  • It can typically implement experimental design including randomization, replication, and blocking.
  • It can typically apply statistical analysis for result interpretation with significance testing.
  • It can often control confounding variables through isolation techniques and control groups.
  • It can often support iterative learning through experiment cycles and knowledge accumulation.
  • It can often enable decision making based on empirical evidence rather than assumption.
  • It can range from being a Single-Factor Experiment to being a Multi-Factor Experiment, depending on its variable count.
  • It can range from being a Laboratory Experiment to being a Field Experiment, depending on its environment control.
  • It can range from being a Exploratory Experiment to being a Confirmatory Experiment, depending on its objective type.
  • It can range from being a One-Shot Experiment to being a Longitudinal Experiment, depending on its temporal design.
  • ...
• Examples:
  • Software Experimentation Processes, such as:
    • A/B Testing Process for variant comparison.
    • Offline Experiment Loop Process for pre-production validation.
  • Performance Experimentation Processes, such as:
    • Load Testing Experiment for capacity determination.
    • Optimization Experiment Process for parameter tuning.
  • AI Experimentation Processes, such as:
    • Model Training Experiment for hyperparameter selection.
    • Architecture Search Process for design optimization.
  • ...
• Counter-Examples:
  • Observational Study, which lacks controlled manipulation of variables.
  • Ad-Hoc Testing, which lacks systematic design and hypothesis.
  • Production Monitoring, which observes without experimental intervention.
• See: Scientific Method, Experimental Design, Hypothesis Testing, Controlled Experiment, Statistical Analysis, Research Process, Validation Process.

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