Feelings or emotions tracking is an effective way to notice how people’s moods change and the factors that affect them over time. It is often used to spot patterns and triggers in emotions and is becoming popular for promoting self-awareness.
The Monthly Feelings Tracker lets clients track their feelings each day for a full month by marking the corresponding boxes with a color or a star. The emotions they can choose from include mad, happy, sad, calm, worried, stressed out, and more. There is also a blank template included that allows users to list their own emotions.
Using this tracker to monitor their emotional state helps young people become more aware of when and why their emotions may be heightened, which leads to better communication and emotional management. To help them open up more, caring adults can create a safe space where they feel comfortable sharing their feelings.
Parents and teachers can do regular check-ins or start casual conversations about their tracker to encourage them to express what’s on their minds.
*This item is an instant digital download. A link to download your files will be emailed to you once payment is confirmed.
Want more resources like this? Check out our full catalog of feelings worksheets and handouts.
References:
- Boghrati, R., Yousefi, S., Sharif, M., & Heydarian, A. (2023). Emotion tracking (vs. Reporting) increases the stickiness of positive (vs. Negative) emotions. https://doi.org/10.2139/ssrn.4319762
- Dubad, M., Elahi, F., & Marwaha, S. (2021). The clinical impacts of mobile mood-monitoring in young people with mental health problems: The memo study. Frontiers in Psychiatry, 12. https://doi.org/10.3389/fpsyt.2021.687270
- Overdijk, R. (2022). Investigating the design opportunities for mood self-tracking and regulating. Proceedings of DRS. https://doi.org/10.21606/drs.2022.522
- Widnall, E., Grant, C. E., Wang, T., Cross, L., Velupillai, S., Roberts, A., Stewart, R., Simonoff, E., & Downs, J. (2020). User perspectives of mood-monitoring apps available to young people: Qualitative content analysis. JMIR mHealth and uHealth, 8(10), e18140. https://doi.org/10.2196/18140
