About
This app helps companies monitor and reduce employee stress through guided meditation and relaxation exercises. It offers daily stress level tracking, expert-assigned meditations and tests, and provides reports on user progress. The goal is to boost motivation and productivity by managing stress.
What's New in Happy Place Science
1.4.6
November 10, 2023
- bug fixes
Developer apps
FAQ
What is Happy Place Science used for?
Happy Place Science is designed to help companies monitor and reduce employee stress levels. It offers tools like daily stress monitoring, guided meditations, and expert-assigned tests to improve employee well-being and productivity.
What kind of exercises does Happy Place Science offer?
Happy Place Science provides expert-assigned meditations and relaxation exercises. It also includes tips and a calendar for scheduling these activities to help manage stress.
How does Happy Place Science track stress levels?
The app allows for daily monitoring of stress levels categorized by different areas. Users can also complete expert-assigned tests, and the app provides reports based on these activities and listened meditations.
Is Happy Place Science available on all devices?
Based on the available data, Happy Place Science is supported on iPhone and iPod devices. Information regarding Android or other platforms is not specified.
What is the age rating for Happy Place Science?
Happy Place Science has an age rating of 12+. This indicates it is considered appropriate for users aged 12 and above.
How often is Happy Place Science updated?
The latest version of Happy Place Science was released on November 10, 2023. This suggests the app receives regular updates, with the last update being relatively recent.
Does Happy Place Science have ads?
No, Happy Place Science does not contain advertisements. The application is free to use and does not display any ads.
What is the user sentiment for Happy Place Science?
The app has received a perfect rating of 5.0 stars from one review. This indicates a highly positive initial user sentiment based on the available feedback.
