Begin by thoroughly understanding the data structures used by both GlassFrog and Convex. Identify the key data entities you need to move, such as roles, circles, and governance records in GlassFrog, and determine their equivalents in Convex. This step is crucial to mapping the data correctly in subsequent steps.

Use GlassFrog’s export functionality to download the required data. Typically, this can be done by navigating to the relevant section in GlassFrog, such as 'Roles' or 'Circles', and selecting the export option, usually in CSV format. Ensure you export all necessary datasets.

Open the exported CSV files and prepare them for transformation. This may involve cleaning the data, such as removing duplicates, correcting any inaccuracies, and ensuring consistency in format. Tools like Excel or Google Sheets can be helpful for this task.

Create a mapping document that aligns GlassFrog data fields to Convex fields. This involves identifying how each piece of data in GlassFrog corresponds to its counterpart in Convex. Documenting this mapping is crucial for maintaining data integrity during the transfer process.

Using a spreadsheet tool or a scripting language like Python, transform the GlassFrog data to match the structure and format required by Convex. This might involve reformatting dates, changing field names, or converting data types. Ensure that the transformed data adheres to Convex’s import specifications.

Access Convex and use its data import feature to upload the transformed data. Follow the import guidelines provided by Convex to ensure the data is uploaded correctly. This usually involves selecting the correct data type for each field and handling any errors that may arise during the import process.

After importing, verify that the data has been transferred correctly and completely. Check for any discrepancies or data loss by comparing key entries in Convex against the original data in GlassFrog. Conduct a thorough validation to ensure the integrity and accuracy of data in its new environment.