Input validation
Checking that incoming data meets required formats and constraints before processing it. Example: verifying an email address is valid format, a phone number has the correct number of digits, and a required field is not empty before writing to a CRM.
Expert insight
Input validation that only checks a field is non-empty, not that it's in the expected format, catches only the most obvious bad data. A phone number field validated as "not empty" still lets through "asdf" or a string of the wrong length, validation needs to check shape and plausibility, not just presence.
How PURIST uses this
This concept is built into every automation we deploy.
When PURIST builds your automation, Input validation is not an optional consideration it is part of the production standard. Our workflows are tested against edge cases, monitored 24/7, and built to handle what happens when things don't go as expected.
Every client workflow we deploy in the Data category is designed with this principle in mind from day one not added as an afterthought.
Complexity level
Requires some familiarity with automation concepts.
Related terms
See it in action
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