Import data interpretation
Incorrect field placement, reversed date components, and unrecognized legacy column headers.
3 / 18
18 feedback items
This report describes the supplied feedback, not all customers. Counts refer to items, not people.
Each batch is classified separately. Different theme names or shares do not, by themselves, show a trend.
Incorrect field placement, reversed date components, and unrecognized legacy column headers.
3 / 18
Difficulty understanding the column preview before importing.
2 / 18
Positive experiences with template-based imports and reuse of saved field mappings.
2 / 18
Footer clipping, pagination, small-text legibility, and appreciation for a simple layout.
5 / 18
Approver discoverability, request delivery, blocked approvals, and guidance for configuration.
4 / 18
Request for a darker interface option.
1 / 18
appearance · FB-014
No observations were recorded in this section.
Open the linked items to check the interpretation. AI proposes themes and observations; the script counts the assigned items. Valid structure does not establish that an interpretation is right.
Input snapshot: feedback_export.csv · collection.md
import_data
import_preview
First CSV import needs a clearer column preview.
import_data
import_data
import_success
Import was fast for our standard template.
import_success
Saved mappings worked on the second import.
PDF needs readable small text, not more colors.
approval
approval
approval
Approval setup was clear, thanks to the guide.
import_preview, pdf
appearance
Please add dark mode.
Not enough information to assign a theme
Not enough information to assign a theme
approval