The first advice I would like to give you is: write the data and methods section before you have collected or analyzed your data. This practice is called preregistration.

Are you conducting interviews, surveys, or analyzing archival data? Preregister the design, for instance at aspredicted.org or on the Open Science Framework. How many observations will you collect and analyze? Why this number and not more or fewer?

Make a data analysis plan: how will you get from raw data (interview recording, notes) to values of variables, which comparisons will you make? Describe the statistical tests – if any – you will apply before you actually apply them. Describe the rules you will apply to handle outliers.

Preregistration is a commitment to yourself that forces you to think more carefully about the data and methods. You can publish the preregistration to make violations of your promises even more transparent. Preregistration of your research design and materials and methods not only proves to others that you have not been p-hacking, it also creates a self-commitment to your plans.