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Emotion-Tracking Mobile Apps

Stoic is a Journaling App That Allows Users to Identify Emotions

— August 28, 2019 — Tech
Stoic is an emotion tracking app, where people use the app in the morning and at night to answer questions and complete simple tasks. The emotion-tracking app was founded by Maciej Lobodzinski and he states that the app's purpose is to allow users to get more in touch with the factors that affect their mental and emotional states.

Users of the app will be able to use specific data from the platform after a few weeks. The data can be used to draw conclusions about how a person was feeling at a certain time, and it can help them identify why they may have felt a certain way.

Users are able to use the basic version of the platform for free. However, a premium version has a price point of $27.99 a year and offers iCloud sync features and more content.


Image Credit: Stoic
Trend Themes
1. Emotion-tracking Apps - Exploring the growing trend of mobile apps that track and analyze user emotions, creating potential opportunities for personalized mental health interventions.
2. Journaling Apps - Exploring the rise in popularity of journaling apps, offering potential avenues for providing users with insights into their emotional well-being and behavior patterns.
3. Personal Data Analysis - Exploring the trend of leveraging personal data analysis to gain insights into mental and emotional states, providing opportunities to offer tailored recommendations and interventions.
Industry Implications
1. Mobile App Development - The growing demand for emotion-tracking and journaling apps presents a lucrative opportunity for mobile app developers to create innovative solutions in the mental health and self-improvement space.
2. Mental Health and Wellness - The rise of emotion-tracking apps and personal data analysis opens up possibilities for the mental health and wellness industry to offer personalized interventions and support based on users' emotional patterns.
3. Data Analytics - The increasing need for analyzing and deriving insights from personal emotional data provides a potential market for data analytics companies to develop tools and algorithms for mental health analysis and interventions.
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