Feedback Overview

Learn about the complete feedback lifecycle in FeedbackNexus, from submission to completion, and how to effectively manage user feedback.

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What is Feedback?

In FeedbackNexus, feedback represents any user input including:

  • Feature Requests: New functionality users want
  • Bug Reports: Issues users have encountered
  • General Suggestions: Improvements and ideas
  • Questions: User inquiries and support requests

Feedback Structure

Each feedback item contains:

Core Information

  • Title: Brief description of the feedback
  • Description: Detailed explanation from the user
  • Category: Organizational grouping (Features, Bugs, General, etc.)
  • Status: Current state in the workflow
  • Priority: Importance level (Low, Medium, High, Urgent)

User Engagement

  • Vote Count: Number of users who support this feedback
  • Comments: Discussion thread with users
  • Followers: Users tracking this feedback for updates

AI-Powered Features

  • Sentiment Analysis: Emotional tone of the feedback
  • AI Priority Score: Machine learning suggested importance (0.0-1.0)
  • AI Suggested Priority: Recommended priority level
  • AI Insights: Automated analysis and recommendations
  • Duplicate Detection: Similar feedback identification

Feedback Lifecycle

1. Submission

  • Users submit feedback through your portal or embedded widget
  • Feedback enters as "New" status
  • AI automatically analyzes sentiment and suggests priority
  • Duplicate detection runs to identify similar items

2. Review Process

  • Admins review new submissions
  • Can moderate content if moderation is enabled
  • Categorize appropriately

3. Planning & Prioritization

  • Move feedback through status workflow
  • Use AI insights to help prioritize
  • Merge duplicate items
  • Add to roadmap if planned for development

4. Development & Updates

  • Update status as work progresses
  • Communicate with users through comments
  • Followers are automatically notified when you update items

5. Completion

  • Mark as "Completed" when implemented
  • Add to changelog

Feedback Statuses

FeedbackNexus uses a flexible status system:

New

  • Just submitted by users
  • Awaiting initial review
  • Default status for all submissions
  • Color: Gray

Under Review

  • Being evaluated by your team
  • Gathering more information
  • Assessing feasibility
  • Color: Orange

Planned

  • Approved for future development
  • Added to product roadmap
  • Users can see it's coming
  • Color: Blue

In Progress

  • Currently being worked on
  • Active development
  • Regular updates expected
  • Color: Purple

Completed

  • Feature implemented
  • Bug fixed (if applicable)
  • Ready for users
  • Color: Green

Rejected

  • Not moving forward
  • Explain reasoning to users
  • Archive the feedback
  • Color: Red

Priority Levels

Low Priority

  • Nice-to-have features
  • Minor improvements
  • Non-critical bugs
  • Can be addressed later

Medium Priority

  • Standard feature requests
  • Moderate impact issues
  • Default priority level
  • Balanced importance

High Priority

  • Important features
  • Significant user impact
  • Should be addressed soon
  • High user demand

Urgent Priority

  • Critical bugs
  • Security issues
  • Major user blockers
  • Immediate attention needed

AI-Powered Features

Sentiment Analysis

  • Positive: Happy, excited, grateful users
  • Neutral: Factual, straightforward feedback
  • Negative: Frustrated, disappointed users
  • Mixed: Contains both positive and negative elements

Priority Scoring

  • AI analyzes multiple factors:
    • Vote count and user engagement
    • Sentiment and urgency indicators
    • Text analysis for importance keywords
  • Provides 0.0-1.0 score (higher = more important)
  • Suggests appropriate priority level

Duplicate Detection

  • Uses advanced text similarity algorithms
  • Compares titles, descriptions, and context
  • Identifies potential duplicates automatically
  • Helps consolidate similar feedback

AI Insights

  • Automated analysis of feedback content
  • Identifies trends and patterns
  • Suggests actions and improvements
  • Provides context and recommendations

User Interaction

Voting System

  • Users can vote for feedback they support
  • Vote counts influence priority
  • Voters get notified of status changes

Comments & Discussions

  • Conversations on feedback
  • Moderation controls available

Following

  • Users can follow feedback for updates
  • Automatic following when voting or commenting
  • Email notifications for status changes
  • Unfollow option available

Moderation Features

Content Moderation

  • Pre-moderation: Review/edit before publishing
  • Manual Review: Admin approval required

Moderation Queue

  • Centralized review interface
  • Approve, edit, or reject submissions

Search & Filtering

  • Full-text search across all feedback
  • Filter by status, category, priority

Best Practices

For Admins

  1. Respond Quickly: Acknowledge new feedback promptly
  2. Be Transparent: Explain decisions and timelines
  3. Use AI Insights: Leverage automated analysis
  4. Engage Users: Ask clarifying questions
  5. Close the Loop: Update users when features ship

For Users

  1. Be Specific: Provide detailed descriptions
  2. Search First: Check for existing similar feedback
  3. Vote Wisely: Support feedback you truly want
  4. Engage: Comment and provide additional context
  5. Follow Up: Track items you care about

Advanced Features

Roadmap Integration

  • Connect feedback to roadmap items
  • Show users what's planned
  • Automatic status synchronization
  • Public roadmap visibility

Changelog Integration

  • Automatically create changelog entries
  • Link completed feedback to releases
  • Notify users of shipped features
  • Version tracking