This work aimed to create a detailed JMP Journal to improve the effectiveness and consistency of data analysis across our team. This journal ensures that all analyses are performed consistently and accurately by providing a step-by-step guide from initial data cleaning to the presentation of final results. This journal provides comprehensive instructions for analyzing the normality of the data and homogeneity of variances, i.e., prior conditions for ANOVA. Alternative statistical tests are recommended if the data do not meet the required assumptions.

By following this methodical approach, our colleagues can drastically reduce the time required for analysis while achieving high levels of accuracy and reproducibility. In addition to improving the overall quality and reliability of our research results, this project accelerates the analytical workflow, thereby enabling faster publications. This work presents a use case of the JMP Journal, emphasizing how it is helping to create consistent and effective data analysis processes.