
Self-E
Quantified Self-Experiments
About
This app helps you conduct self-experiments to understand the impact of behavioral changes on your health, wellness, and productivity. It provides tools to set up trials, track outcomes, and gain personalized insights through automated analysis and daily reminders.
What's New in Self
1.1.1
March 9, 2022
fixes crash that happens in long experiments
Developer apps
FAQ
What is Self-E?
Self-E is an app designed for self-experimentation, allowing you to conduct trials on your own behaviors to gain personalized insights into your health, wellness, and productivity. It helps you become both the researcher and the subject of your own improvement.
How does Self-E help with self-improvement?
By enabling you to set up experiments, track outcomes, and receive automated statistical analysis, Self-E provides concrete, data-driven insights into the effectiveness of your self-improvement efforts. Daily reminders ensure consistency in your trials.
Is Self-E available on Android?
Currently, Self-E is supported on iPhone, iPad, and iPod devices. Information regarding Android availability is not provided in the current data.
What is the update frequency for Self-E?
The app was last updated on March 9, 2022, with version 1.1.1. The developer, Brown University Computing & Information Services, has released updates since its initial release on December 12, 2021.
What are the privacy controls in Self-E?
Specific details on privacy controls are not provided in the app description. However, as a self-experimentation tool, it focuses on personal data analysis for individual insights.
Does Self-E have ads?
No, Self-E does not contain advertisements. The app is free to download and use without any ad interruptions.
What is the age rating for Self-E?
Self-E has an age rating of 4+, making it suitable for a wide range of users. This indicates it contains no mature content.
How does Self-E's analysis work?
The app offers automated statistical analysis to help you interpret the data from your self-experiments. This feature aims to provide individualized insights into the driving factors behind your observed outcomes.



