Ozgar AI’s Revisions and Feedback features empower you to continuously improve both the documentation and the chatbot’s accuracy by capturing real-time input from users and experts. Whether you spot incorrect information, uncover an outdated procedure, or want to refine an explanation, you can submit feedback or full revisions directly within the interface — and, if you’re authorized, see your changes go live instantly.

 

 

1) Submitting Feedback

  • Feedback Icons At the bottom of every documentation page and chatbot response, you’ll see a small Feedback (thumbs-up/thumbs-down) or Revise (pencil) icon.
  • Roles & Permissions
    • All Users may click the Feedback icon to flag issues, suggest improvements, or simply vote on content quality.
    • Documentation Revisors see an additional Revise icon, which lets them propose corrections to text, code examples, or diagrams.

 

 

2) How It Works

  • Flag or Revise
    • Feedback: Leave a comment describing what’s incorrect, missing, or confusing.
    • Revise: Corrections for text, adjust code snippets, or enhance diagrams.
  • Submit Your input is sent to the Ozgar AI knowledge-base pipeline, tagged with the context (page, section, chatbot query).
  • Revisions
    • If you have Documentation Revisor privileges, approved revisions go live automatically and become part of future documentation and chatbot answers.
    • Regular feedback entries feed into a review queue for assigned editors or admins.

 

 

3) Managing Revisions and Feedback (Admin Dashboard)

Navigate to the Admin Dashboard and select Revisions to see every piece of feedback and revision request:

  • Review & Apply For each feedback item, toggle Apply to Knowledge Base on or off to control whether comments become accepted changes.
  • Edit or Delete Click into any revision to make further edits, roll back unwanted changes, or remove feedback completely.
  • Audit Trail View a history of who submitted, approved, or rejected each revision—ensuring full transparency and traceability.

 

 

4) Best Practices

  • Be Specific: Reference exact lines, function names, or diagram elements when submitting feedback.
  • Offer Alternatives: When suggesting a correction, include the revised text or code rather than just noting “This is wrong.”
  • Review Regularly: If you’re an editor or admin, schedule periodic reviews of new feedback to keep documentation fresh and accurate.
  • Leverage Roles: Assign trusted subject-matter experts as Documentation Revisors to ensure high-quality, immediate updates.

By integrating Revisions and Feedback directly into the UI, Ozgar AI transforms documentation and chatbot accuracy into a collaborative, living process—ensuring your knowledge hub remains reliable, current, and shaped by the people who know your application best.