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Data Analytics

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How It Works

Inspired by Facebook’s Deltoid and Quick Experiments (QE), Statsig's user interface surfaces the most important information for you to make the faster and better product decisions using real data about how your users engage with your application. From executives to product managers and engineers, every member of your team can see the true impact of new features and experiments on Statsig, regardless of their data science expertise. This empowers every team member to make decisions and take action without calling meetings, writing long narratives, or building 'organizational alignment'.

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Features

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Flexible, Automated Experimentation: Coding-Optional Experimentation Analysis, Run in your Warehouse or Ingest Your Data, Support for Frequentist and Bayesian Analysis, User Identity Resolution.

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Trustworthy, Verifiable Results: Fully Documented Stats Methodology, Automatic A/A testing, Exports for Raw Data and Summary Stats, Health Checks (SRM, pre-experiment bias).

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Flexible, Automated Experimentation: Coding-Optional Experimentation Analysis, Run in your Warehouse or Ingest Your Data, Support for Frequentist and Bayesian Analysis, User Identity Resolution.

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Advanced Treatments and Controls: Sequential Testing, Outlier Management (Winsorization), Variance Reduction (CUPED), Control for Multiple Comparisons.

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Mature SDK Functionality: Mutually Exclusive Experiments, Managed Holdouts, Switchback Testing, Advanced User Targeting & Segmentation.

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Advanced Treatments and Controls: Sequential Testing, Outlier Management (Winsorization), Variance Reduction (CUPED), Control for Multiple Comparisons.

check_circle

Trustworthy, Verifiable Results: Fully Documented Stats Methodology, Automatic A/A testing, Exports for Raw Data and Summary Stats, Health Checks (SRM, pre-experiment bias).

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Mature SDK Functionality: Mutually Exclusive Experiments, Managed Holdouts, Switchback Testing, Advanced User Targeting & Segmentation.

Categories

#APIs & DevOps
#Analytics
#Software Development

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