What is it?
Providing insufficient context around data may lead users to misinterpret the information, experience increased cognitive load as they try to decipher its meaning, or feel like the data is not relevant or helpful. Ultimately, insufficient data can result in users feeling less confident in the application and its value.
Examples
Insufficient explanation for complicated terms
Problematic "Save" behavior leading to lost changes
No suggestions when a search returns no results
Unexpected search modification leads to confusion
Untrustworthy customer reviews
Insufficient product value
