Choose how to add data
Kato does not currently offer a general CSV upload flow. If your source is a
spreadsheet, use it to prepare the data for manual entry or an API migration.
The Import / Export menu includes CSV export of the current view.
Prepare a small sample
- Choose the destination object.
- Match each source column to a Kato attribute.
- Check names, dates, select options, and required values for consistency.
- Identify records that already exist so you can avoid adding them twice.
- Try a handful of records and check their values before continuing.
Example: map a spreadsheet before moving it
Suppose the source has these columns. Build or inspect the destination attributes before entering records or asking a developer to migrate them.
Use a sample that includes a normal row, one missing an optional value, and one
with an existing client. These reveal different problems than testing three
perfect, unrelated rows.
Check the sample before the full transfer
Open each sample record and compare it with the source. Check the status option, date, client link, and any required fields. Then view it through the same table or board the team will use. A successful API response alone does not prove that the resulting structure is useful to readers. For a repeated API sync, run the same sample twice using the intended stable-ID strategy. Confirm it updates the intended records instead of creating a second set. Keep a record of source IDs and Kato IDs so failures can be investigated. If rows fail, separate formatting problems from access or schema problems. Correct a value that does not match the field’s type; inspect permissions or field definitions when the destination itself is unavailable. Avoid retrying a whole batch blindly when only a few records need correction.Import from Timely
The Timely import option appears for the Projects object when Timely is connected. The dialog lists projects and marks those already imported. Review the selection, choose the projects to bring over, and select Import. Associated clients are created and linked as part of this flow. Read the results after the import. If any projects report an error, inspect those results before retrying. Open a created project to confirm that its details and client link match what you expected.Plan an API migration
Have the person building the migration inspect your workspace’s object and field definitions first. Use a stable record ID for repeated updates, and test how missing or invalid values are handled. The record sync recipe explains the approach.Continue learning
How your data fits together
Understand the structure behind the records you add.