How Questionnaire Automation Works
How answers are generated
[Step-by-step Flow]
Choose your settings
Watch Answers
Uploading Different Formats
Excel
Dropdowns
Word
Checkboxes
PDF
CSV
Web Portals
When 1up cannot answer
IDK responses
Skipped questions
PII
Why doesn’t 1up provide confidence scores?
Large language models (LLMs) struggle with confidence scoring. This is because LLMs are primarily trained to predict the next word in a sequence based on patterns in the data, not to directly estimate uncertainty or confidence.
1up uses a binary system to determine if a query can or cannot be answered. You might see other products that provide confidence scoring. In our view, these scores are misleading at best. Additionally, an AI model should never be used to grade its own performance. We believe it’s always best to let the reader decide on the quality of a 1up-generated response.
Answer Types
Short Answer
Long Answer
Answer Library
Answer Statuses
Skipped
Unanswered
Partial
Full
Under Review
Approved
Answer Labels
1up-Defined
User-Defined
Regenerating answers
Individually
In Bulk
Reviewing & Editing Answers
As a best practice, we recommend reviewing all responses to make sure they are accurate. Here’s what you can expect for each response:
Related Sources
Tag Answers
Save Answer to KB
Tag Answers
View them in Answer Library
Assigning to Teammates
Comment Stream
Answer History
Troubleshooting Wrong Answers
Check the source
Teach 1up the right answer
Wrong Sources Used
Retry with different tags
Delete the source
Incorrectly Extracted Documents
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