Ticket Reference: TKT-217460
Customer: Nasdaq
Requester: Kritika Gour
Enhancement Summary:
The customer has requested an enhancement to improve the usability and efficiency of the AI Draft Answering Agent’s “Review Answer” workflow.
Current Behavior:
At present, the “Revert” option is available only at the individual question level. Users must manually revert responses one question at a time.
Problem Statement:
For larger projects, this process becomes repetitive and time-consuming, especially when users need to revert multiple AI-generated responses during review and refinement activities.
Customer Impact:
The customer typically handles approximately 10–50 questions requiring revert actions in a single workflow. Performing individual revert actions for each question significantly reduces operational efficiency and increases manual effort.
Requested Enhancement:
The customer would like the system to support bulk revert capabilities within the Review Answer page, including:
- Revert All responses
- Revert Selected Questions
- Section-level Revert functionality
Expected Benefit:
- Reduce repetitive manual effort
- Improve usability for large AI Draft review workflows
- Enable faster cleanup and refinement of AI-generated responses
- Improve reviewer productivity and workflow efficiency
Business Use Case:
During AI Draft review activities, users often need to revert multiple generated responses after testing prompts, filters, or instructions. A bulk revert capability would allow reviewers to efficiently reset responses without reverting each question individually.
Additional Notes:
- Current functionality supports only per-question revert operations.
- The request specifically targets dashboard-level usability improvements within the AI Draft Review Answer page.
- Customer confirmed that all three revert modes (Revert All, Revert Selected, and Section-level Revert) would be valuable.
Requested Action:
Please review the feasibility of implementing bulk revert functionality within the AI Draft Review Answer workflow and evaluate potential UI/UX approaches for multi-question revert operations.
Regards
Pavi D
