Field Flagging & Feedback System
Flag incorrect fields, rate fill accuracy, and report issues - all from inside your filled form
Overview
After Instafill.ai's AI form filler processes a form, you have two ways to give feedback on the result.
The first is a quick accuracy rating - a 0-10 score with an optional comment, available on every completed fill session. The second is field flagging: if specific fields were filled incorrectly, you can highlight exactly those fields, add a comment explaining the issue, and submit it to the Instafill.ai team. The team reviews the flagged copy, investigates the cause, and makes the correction.
Neither requires you to send emails or describe problems vaguely. You point to exactly what's wrong, and we fix it.
How It Works
Rate filling accuracy
After a form is processed, a Rate filling accuracy link appears at the bottom-right of the results screen. Clicking it opens a modal where you rate accuracy from 0 (poor) to 10 (perfect) and optionally add a comment explaining your rating.
The rating is tied to the specific fill session - the form name, number of pages, fill cost, and your workspace context are all captured. The Instafill.ai team receives a notification with this data and uses it to track overall accuracy trends and prioritize improvements.
Flag incorrect fields
Flag incorrect fields is a more targeted tool. It lets you mark exactly which fields were wrong, rather than rating the fill overall.
Here is how the process works:
- After your form is filled, click the Flag incorrect fields button at the bottom-right of the screen. This opens the form in problem reporting mode.
- In the top toolbar, click Flag fields. A rectangle appears - drag it over the field or area with the issue. You can resize or reposition it.
- A text box appears on the right side of the screen next to your highlighted area. Type your comment - for example, "wrong date format" or "missed middle initial". Every highlighted area needs a comment before you can submit.
- Add as many flagged areas as needed, then click Submit in the top toolbar.
Once submitted, a temporary, encrypted copy of your filled form (with your highlights and comments) is created in a secure Instafill.ai admin workspace. Your original form stays completely unchanged in your account. Authorized team members open the flagged copy, review what you marked, and investigate the cause.
After submission, your request appears on the Improvement requests page, where you can track its status:
- Open - received and queued for review
- In Progress - team is actively working on it
- Resolved - the issue has been fixed
For the full feature introduction, see the blog post: Introducing Instafill.ai's field flagging and accuracy improvement feature
Privacy and Security
When you submit a flagged request, a temporary encrypted copy of the annotated form is created in a separate admin workspace. Your original form is never touched. Only authorized Instafill.ai team members can access the flagged copy, and every access is logged. Once the issue is resolved, the copy is automatically deleted. You can also request immediate deletion at any time by contacting [email protected].
Accuracy ratings and comments do not include raw form field values.
Use Cases
Healthcare and credentialing forms - A credentialing coordinator filling 20-page physician applications can flag the specific fields that were incorrect (say, a date format or a credential number) instead of re-reviewing the entire form. The Instafill.ai team corrects the issue for that form type so it doesn't repeat.
High-volume batch filling - Teams using batch processing to fill dozens of forms per day can use the rating system to track overall accuracy over time. A drop in average rating signals a problem worth investigating before it compounds across hundreds of fills.
New form onboarding - The first few fills on a newly added form are the most likely to have issues. Flagging errors on early sessions helps the team tune accuracy for that form type quickly, reducing correction work on all future fills.
If you are looking to improve accuracy through your own examples and corrections rather than team-reviewed fixes, see Style Replication and AI Training and Customization.
Key Capabilities
- Rate filling accuracy: 0-10 rating with optional comment, available after every fill session
- Flag incorrect fields: Highlight specific fields on a filled form, add comments, and submit directly to the Instafill.ai team
- Improvement requests tracking: View the status (Open, In Progress, Resolved) of every submitted flag
- Encrypted flagged copies: Flagged forms are stored temporarily in a secure admin workspace, separate from your account
- Auto-deletion: Flagged copies are deleted automatically after resolution
Common Questions
How quickly does a flagged issue get resolved?
The Instafill.ai team reviews submitted flags and updates the status to In Progress, then Resolved. You can track the status in real time on the Improvement requests page (accessible from your dashboard). Resolution time depends on the complexity of the underlying issue.
Does flagging a field automatically fix future fills?
Not automatically. The team reviews each flag, identifies the cause, and makes the correction. Once resolved, the fix applies to future fills of that form type. This is a team-reviewed process, not an automated pipeline.
Can I flag multiple fields in one submission?
Yes. You can add as many highlighted areas as needed in a single problem reporting session. Each area has its own comment box. All highlighted areas are submitted together.
Is my document data visible to the Instafill.ai team?
Only when you actively choose to submit a flag. The flagged copy includes only your filled form with your highlights and comments. Your original documents and source files remain in your account and are never accessed.
Does the accuracy rating affect my AI fine-tuning?
The rating is used for quality monitoring by the Instafill.ai team. It is not an automated feedback loop that changes how the AI fills your specific form. To actively improve accuracy for your forms, use AI Training and Customization or Style Replication.
Does Flag incorrect fields work on flat PDFs?
No. It only works on fillable forms. If your form is a flat PDF with no editable fields, convert it to a fillable PDF first before using the flagging feature.