Correcting the same mistakes after the fact is the work most product teams want back. In Pimberly, validation rules reject a change, allow it with a warning, or send it for approval, with conditions and expressions including data set lookups for normalising values against an agreed list. Assignment rules sit alongside, setting one attribute from the values of others rather than blocking the change.
With Pimberly’s validation and assignment rules, you can:
- Reject a change outright, allow it with a warning, or send it for approval — the action a rule starts with
- Add conditions using comparators matched to the attribute type, or build in an expression
- Normalise incoming values against an agreed list with a dataset lookup, rather than accepting whatever was typed
- Set one attribute from the values of others with an assignment rule, using as many if-then clauses as the logic needs
- Calculate a value with an expression, where the assignment depends on more than a straight lookup
See how it works in the video below:
