Documentation

Everything you need to know about using our feedback widget and how to collect and manage user feedback.

AI Responses

Feedbackview's AI response system automatically generates contextual, helpful responses to feedback submissions, maintaining consistent communication while dramatically reducing manual response time.

How AI Response Generation Works

The AI response system analyzes feedback content, context, and your configured settings to generate appropriate responses that sound natural and provide genuine value to your users.

Intelligent Analysis

Content Understanding

AI comprehends the user's intent, sentiment, and specific needs from their feedback.

Context Awareness

Considers your project context, custom instructions, and feedback type for relevant responses.

Tone Matching

Adapts response tone to match the feedback sentiment and your brand voice.

Response Quality

Personalized Content

References specific details from the user's feedback for personalized responses.

Actionable Information

Provides helpful next steps, workarounds, or acknowledgments as appropriate.

Professional Consistency

Maintains consistent quality and professionalism across all generated responses.

Response Generation Flow

1
Trigger Evaluation

System checks if feedback matches your automation rule conditions (type, impact score, keywords, status)

2
Context Preparation

AI gathers feedback details, project context, and your custom instructions for response generation

3
Response Generation

Advanced AI models create a contextual, helpful response tailored to the specific feedback

4
Review & Publish

Response is either auto-published (if enabled) or saved as a draft for your review

Response Types & Examples

AI generates different types of responses based on feedback category and content, each tailored to provide maximum value to your users.

🐛
Bug Report Responses

AI Response Includes:

  • • Acknowledgment of the issue
  • • Appreciation for reporting
  • • Expected investigation timeline
  • • Potential workarounds if available
  • • Follow-up communication plan
Example Response:

"Thank you for reporting this login issue. We've identified this as a priority bug and our engineering team is investigating. As a temporary workaround, please try clearing your browser cache. We'll update you with our progress."

💡
Feature Request Responses

AI Response Includes:

  • • Understanding of the user's need
  • • Current alternatives or solutions
  • • Roadmap consideration acknowledgment
  • • Thank you for the suggestion
Example Response:

"Thanks for this thoughtful feature suggestion! We understand how bulk actions would improve your workflow efficiency. While we don't have this feature yet, we've added it to our product roadmap for consideration. In the meantime, you can use our API for bulk operations."

Question Responses

AI Response Includes:

  • • Direct answer to the question
  • • Step-by-step instructions if applicable
  • • Links to relevant documentation
  • • Additional helpful context
  • • Offer for further assistance
Example Response:

"Great question! To embed the widget on your WordPress site, add the provided script tag to your theme's header.php file or use a plugin like 'Insert Headers and Footers'. Here's our complete setup guide: [link]. Let us know if you need any assistance with the installation!"

Publishing Options

Choose how AI-generated responses are handled - automatically published for immediate user communication or saved as drafts for your review and customization.

Auto-Publish
Responses are automatically published and sent to users

Benefits:

  • • Immediate response to users
  • • Zero manual intervention required
  • • Consistent response times
  • • Scales with high feedback volumes

Best for:

High-confidence scenarios like common questions, standard bug acknowledgments, or well-defined feedback types.

Recommendation: Start with draft mode, then enable auto-publish once you're confident in response quality.
Draft Mode (Recommended)
Responses are saved as drafts for your review before publishing

Benefits:

  • • Full control over what gets sent
  • • Ability to customize responses
  • • Quality assurance checkpoint
  • • Learn AI response patterns

Best for:

Complex feedback, sensitive issues, brand-critical communications, or when you're testing new automation rules.

Default Setting: All new automation rules start in draft mode for safety and quality control.

Context & Customization

Provide AI with context about your product, brand voice, and specific instructions to generate more relevant and on-brand responses.

AI Context Configuration

Product Information

Brief description of your product, key features, and target audience to help AI understand context.

Brand Voice

Specify your communication style: professional, friendly, technical, casual, etc.

Response Guidelines

Specific instructions on how to handle different scenarios or what information to include.

Example Context

Product: "Our product is a SaaS tool for project management aimed at small to medium businesses. We emphasize simplicity and user-friendly design."

Voice: "Be helpful and professional but approachable. Use clear, jargon-free language and always offer next steps or alternatives when possible."

Guidelines: "For bug reports, always thank users and provide a timeline. For feature requests, acknowledge the value and mention our roadmap consideration process. Include links to relevant help articles when appropriate."

Setting Up AI Responses

1
Navigate to Automation

Go to your dashboard → Automation → Create Rule

2
Select Response Generation

Choose "Response Generation" as your rule type

3
Define Trigger Conditions

Set feedback types, impact scores, keywords, or statuses that should trigger AI responses

4
Add AI Context

Provide product information, brand voice guidelines, and response instructions

5
Choose Publishing Mode

Select draft mode (recommended) or auto-publish based on your comfort level

6
Test & Monitor

Enable the rule and monitor generated responses to refine your configuration

Performance & Quality

92%

User satisfaction with AI-generated responses

45s

Average response generation time

15%

Average draft edit rate before publishing

80%

Reduction in manual response time

Best Practices

Do's
Start with draft mode to learn how AI responds
Provide detailed context about your product and brand voice
Use specific trigger conditions to target appropriate feedback
Monitor response quality and refine context as needed
Combine with manual responses for best results
Don'ts
Don't auto-publish without testing response quality first
Don't use overly broad trigger conditions
Don't skip providing AI context and guidelines
Don't rely solely on AI for sensitive or complex issues
Don't forget to monitor and adjust rules based on performance

Next Steps