This paper provides a pragmatic approach to analyzing and presenting qualitative data, using actual data from a qualitative dental public health study. It explores two fundamental approaches to analyzing qualitative data: deductive and inductive. The inductive approach, which is the focus of this paper, involves analyzing data with minimal predetermined theory, structure, or framework, and using the data itself to derive the analysis structure. The method described is thematic content analysis, which involves identifying themes and categories that emerge from the data. The process includes open coding, identifying and organizing categories, and verifying and qualifying these themes through repeated analysis. The paper also discusses the use of computer software for data analysis, such as ATLAS.ti and NVivo, and the importance of verification through respondent validation and peer review. Finally, it provides guidance on writing and presenting qualitative research findings, including two different approaches: reporting key findings under each main theme and combining findings and discussion in a single chapter. The analysis process is described as systematic and rigorous but labor-intensive and time-consuming, and the authors recommend seeking advice from experienced qualitative researchers.This paper provides a pragmatic approach to analyzing and presenting qualitative data, using actual data from a qualitative dental public health study. It explores two fundamental approaches to analyzing qualitative data: deductive and inductive. The inductive approach, which is the focus of this paper, involves analyzing data with minimal predetermined theory, structure, or framework, and using the data itself to derive the analysis structure. The method described is thematic content analysis, which involves identifying themes and categories that emerge from the data. The process includes open coding, identifying and organizing categories, and verifying and qualifying these themes through repeated analysis. The paper also discusses the use of computer software for data analysis, such as ATLAS.ti and NVivo, and the importance of verification through respondent validation and peer review. Finally, it provides guidance on writing and presenting qualitative research findings, including two different approaches: reporting key findings under each main theme and combining findings and discussion in a single chapter. The analysis process is described as systematic and rigorous but labor-intensive and time-consuming, and the authors recommend seeking advice from experienced qualitative researchers.