A well-designed dataset becomes much more useful when information can be collected directly from the people who have it. Public Entry turns a Quiix dataset into a shareable data collection form while keeping the main workspace private.
Design once, collect consistently
The dataset owner defines the elements, labels, descriptions, validation and segments. Visitors then see a purpose-built form based on that structure. This removes the need to copy responses from a separate form tool and helps every submission follow the same model.
Three ways to present a form
Single Column provides a familiar vertical flow and works well across screen sizes. Two Column uses the desktop width efficiently by placing the title and description beside the input. Progressive by Segment turns each segment into a guided step with Next controls and visible progress before final submission.
Context where respondents need it
Segments organise long forms, element descriptions clarify individual questions and read-only descriptive labels can present introductions, guidance, logos or other supporting material. On mobile, response controls adapt to the available space, including compact selection patterns for structured scales.
Submission and controlled recall
Owners can decide whether respondents may recall and edit a submission while the public form remains active. The option is useful when answers may need correction, but it should be enabled only when it suits the sensitivity and identity model of the collection.
From response to useful information
New entries arrive in the same dataset that powers views, filters, reports and Insights. This shortens the path from collection to understanding and makes Public Entry more than a form: it is the public-facing edge of a structured information workflow.