The concept of cycle sensitive work management revolves around understanding and leveraging the hormonal fluctuations in the female menstrual cycle to optimize task performance and productivity. This approach aims to align work tasks with the natural strengths and challenges experienced during different phases of the menstrual cycle. 

Cycle sensitive work management

The hormonal changes that occur throughout the menstrual cycle can significantly impact cognitive functions, mood, and energy levels. By acknowledging these fluctuations, cycle sensitive work management seeks to create work environments that support women in achieving their best performance. This involves digital tools, data analytics and psychological insights to tailor task assignments and schedules in a way that aligns with the individual's cycle. 

Research opportunities

Students interested in this field have the opportunity to explore various aspects of cycle sensitive work management. They are encouraged to suggest their own subtopics or discuss potential ideas with their supervisor to find a research focus that aligns with their interests and career goals. Here are examples of possible thesis topics within this broader theme:

• Period-Tracking Apps and Their Role in Task Management
  This topic involves analyzing how period-tracking apps are utilized by women working to manage their tasks and enhance performance.
• AI and Machine Learning for Predicting Task Performance Fluctuations
  This topic focuses on exploring the potential of using artificial intelligence to predict task performance fluctuation based on menstrual cycle data. The research could involve reviewing existing AI methodologies, discussing their potential application in this context, and suggesting how such AI models could be developed and implemented to enhance productivity and task management.

By engaging in this research, students will not only contribute to the understanding of cycle sensitive work management but also pave the way for more supportive work environments for women. If you are passionate about digital technology, task performance, and enhancing workplace wellbeing, this is the perfect opportunity to make a meaningful impact.

For further details and to discuss your research ideas, please reach out to Melanie Schmidt at melanie.schmidt@ercis.uni-muenster.de