Introduction: Tuberculosis (TB) is a major public health challenge globally, particularly in low-resource settings. This pilot study evaluates the impact of self-management training (SMT) on the quality of life (QoL) of TB patients, using a quasi-experimental design with 20 participants in Patna, Bihar, India. Improvements in QoL was assessed using standardized tool. Objective: This pilot study is to assess the  level of  Quality of Life among Tuberculosis patients, to develop and implement Self-management training  on Quality of life among Tuberculosis patients and to find out the association between  Quality of life with selected demographic variables. Methods: This pilot study approach is quantitative research approach with Quasi experimental research design. This study consists of two groups that is experimental and control group. 130 is the planned sample size for each group for final study and 10% of the samples are taken from main study for this pilot study. Setting of the study is one selected DOTS center in Patna, Bihar. Data is collected through WHOQOL-BREF scale to assess QoL in tuberculosis positive patients. Data is analyzed by Descriptive and Inferential Statistics. Results: Descriptive and inferential statistics, including paired t-tests and ANOVA, were used to analyze differences in QoL scores between pre- and post-intervention phases. Post-intervention, the experimental group showed a significant increase in QoL scores (Mean: 93.6, SD: 14) compared to pre-test (Mean: 79.7, SD: 14.2; p = 0.017). The control group showed no significant change (Mean: 85.2 to 84.3; p > 0.05).Conclusion: Pilot study shown that the tool was feasible as the respondents understood clearly. Weekly once session of video assisted teaching of four sessions is not feasible, as the patients come from far and are working. Researcher tries to reduce to two sessions, so that the patients will be available. This pilot study underscores the potential of SMT in enhancing QoL among TB patients. Larger-scale studies are warranted to validate these findings and optimize intervention frameworks.