Netflix model testing process

Refine your feature development strategy with the Netflix Model Testing Process example.

Netflix model testing process

Refine your feature development strategy with the Netflix Model Testing Process example.

Process Flow Diagrams
Flow Chart
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about this example

Data-driven decision-making is at the heart of Netflix's approach to feature rollouts. This example diagram illustrates a testing process informed by this philosophy:

  • Hypothesis Formulation: Begins with an initial hypothesis that leads to the decision-making on the model.
  • Model Testing: Details the iterative process of training the model, testing it offline, and validating the hypothesis.
  • A/B Testing: Describes designing an A/B test, choosing a control group, and rolling out a prototype to observe behavior.
  • Results and Rollout: Shows how results are analyzed and, if successful, how the feature is rolled out to all members.
When to use
  • Feature Experimentation: When experimenting with new features and needing a structured approach to validate assumptions.
  • Performance Analysis: When analyzing the performance of different models or features before a full-scale rollout.
  • Continuous Improvement: When iterating over product features to ensure significant improvement in user experience or performance.

How to use
  1. Start editing: Duplicate the example file and double-click on the diagram to customize it according to your feature testing needs.
  2. Customize diagram: Add or modify nodes, groups, and relationships to mirror your organization's testing and decision-making process.
  3. Customize layout: Drag elements on the diagram directly on the canvas to create a clear and actionable test flow.
  4. Collect feedback: Share the diagram with your product team and stakeholders to gather insights and achieve consensus on the process.

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