Objectives:
The study aimed to develop the "Love Stories" tool for identifying narratives in romantic relationships and to determine which stories are associated with higher or lower levels of relationship satisfaction.

Methods:
170 women and 139 men currently in romantic relationships participated in the study. Participants completed the "Love Stories" questionnaire and the Relationship Assessment Scale (RAS) to measure their levels of relationship satisfaction. Parametric correlation analyses and non-parametric tests were used to analyze the data.

Results:
The findings indicate that both men and women share certain common narratives linked to high relationship satisfaction, while other narratives are distinct for each gender. Women valued emotional support and feeling special in the relationship, whereas men placed more importance on reciprocity and friendship within the relationship.

Conclusions:
The "Love Stories" tool proved effective in identifying narratives associated with relationship satisfaction. It can be utilized in both quantitative and qualitative research, as well as in therapeutic practice. This narrative approach allows for capturing the unique qualities of relationships while maintaining a quantitative framework for data analysis.