Self-E

Quantified Self-Experiments

Free · Designed for iPad

Self-experimentation is the process of conducting trials where you are both the researcher and the subject. Through modifying your behaviors and reporting outcomes, you can gain concrete insights into the efficacy of whatever self-improvement you seek to make. Self-experimentation is a data-driven way to gain ultra-personal insights into the driving factors behind your health, wellness, and productivity. Through Self-E, you can set up experiments, view your data, and attain individualized insights through automated statistical analysis. Self-E sends daily reminders to check in so that your experiment stays consistent and structured.

  • This app has not received enough ratings or reviews to display an overview.

fixes crash that happens in long experiments

The developer, Brown University, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .

  • Data Not Collected

    The developer does not collect any data from this app.

    Privacy practices may vary based, for example, on the features you use or your age. Learn More

    The developer has not yet indicated which accessibility features this app supports. Learn More

    • Size
      • 19.8 MB
    • Category
      • Lifestyle
    • Compatibility
      Requires iOS 14.5 or later.
      • iPhone
        Requires iOS 14.5 or later.
      • iPad
        Requires iPadOS 14.5 or later.
      • iPod touch
        Requires iOS 14.5 or later.
      • Mac
        Requires macOS 11.3 or later and a Mac with Apple M1 chip or later.
      • Apple Vision
        Requires visionOS 1.0 or later.
    • Languages
      • English
    • Age Rating
      4+
    • Provider
      Brown University Computing & Information Services
      • Brown University Computing & Information Services has not identified itself as a trader for this app. If you are a consumer in the European Economic Area, consumer rights do not apply to agreements between you and the provider.
    • Copyright
      • © Brown University 2021