Clarification Sheet
The Clarification Sheet allows you to document logic, assumptions, and special instructions for each question in your questionnaire - particularly useful when dealing with complex logic or ambiguous inputs.
Each entry in the Clarification Sheet is tied to a specific QID (question ID) from your questionnaire and includes the following fields by default:
Reference (QID)
Query
Query Type
Feedback
Status
This structured format ensures your clarifications are well-organized and traceable throughout the survey build process.
Types of Clarifications
There are broadly four key clarification categories:
Instructions Specific guidance or opinions on how a question should be programmed - especially useful for complex logic or unconventional flows.
Decisions Any programming decisions made by the survey programmer that deviate from the questionnaire content - to maintain transparency.
Clarifications Questions sent to clients for additional input, along with their responses - recorded to maintain a clear history of communication.
Assumptions Logical assumptions made by the programmer in case of ambiguity in the questionnaire - helps document intent behind code.
AI Clarification Suggestions (Beta)
Metaforms includes an AI-powered suggestions tool (in Beta), which analyzes your questionnaire and offers:
Suggested clarifications for complex questions
Detection of logical inconsistencies
Highlighting of typos and potential improvements
You can easily review, accept, or discard these AI suggestions as needed.
To Enable AI Clarification Suggestions:
Navigate to Settings -> Features -> Enable Clarification Sheet Suggestions and save changes.
Additional Features
You can create multiple Clarification Sheets within a project.
Sheets can be imported or exported in bulk for documentation or reuse.
Clarifications directly improve the quality and precision of XML generation using AI.
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