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How do I Upload Historical Data into Tully?

Tully allows coaches and users to upload historical performance data in two ways: manual entry or CSV import by Tully staff. This guide walks through both methods step-by-step.

 



Option 1: Manual Entry on the Site

  1. Navigate to Bulk Data Entry

    1. On the left sidebar of Tully, scroll down to the Data Collection section and click Bulk Data Entry.

    2. Screenshot 2025-11-07 at 12.15.35 PM
  2. Select a Metric

    1. In the Metric dropdown, choose the metric you want to add historical data against.

    2. You can also refine your view using filters for Teams, Groups, Gender, Years, and Age Range.

    3. Screenshot 2025-11-07 at 12.16.16 PM
  3. Set a Historical Date

    1. On the top right of the table, click the Default Date button. It will default to the current date and time.

    2. Change this to the specific date and time that you want your data to be recorded against.

    3. Screenshot 2025-11-07 at 12.16.26 PM
    4. Screenshot 2025-11-07 at 12.16.32 PM
  4. Enter Data Manually

    1. Use the table interface to enter data for each athlete under the appropriate column for the chosen metric.

    2. Once you’re finished, the historical data will be saved to those athletes’ records.


Option 2: CSV Upload by Tully Staff

If your historical data set is large, Tully’s support team can help you import it directly.

  1. In the top right of Tully, click the Question Mark (?) icon

    1. Screenshot 2025-11-07 at 12.19.59 PM
  2. Select “Question?” to open the submission form

    1. Screenshot 2025-11-07 at 12.20.09 PM
  3. In the message box, write:

    “I have a CSV sheet of historical data that I would like to be imported for my athletes.”

    1. Screenshot 2025-11-07 at 12.20.18 PM
  4. Click Send.
    Tully staff will receive your message and reply via email with instructions for securely sending your CSV file.


Summary

  • Use Bulk Data Entry for quick manual uploads and date-specific entries.

  • Use the Submit a Question tool to request a CSV import for large historical data sets.

  • Once processed, your historical data will appear in your organization’s reports and metrics as if it had been entered on the original dates.