Voice Trends
Discover patterns and topics from your Discord voice conversations to better understand what your community is discussing.
Overview
Heda's Trends feature analyzes transcribed voice conversations to identify common topics, recurring questions, and emerging interests in your technical community. These insights help you understand what matters most to your members.
Key Features
Topic Clustering
See what your community is talking about
- Automatic grouping of related discussions
- Technical subject identification
- Topic volume and frequency tracking
Common Questions
Identify frequently asked information
- Recurring questions detection
- Documentation gap identification
- Support topic prioritization
Interest Tracking
Monitor changing community focus
- Rising and falling topics
- Emerging technical interests
- Event and release impact analysis
Term Relationships
Understand connections between topics
- Related technology mapping
- Concept association visualization
- Technical ecosystem insights
How It Works
Voice conversations are transcribed by Heda
Natural language processing identifies topics and concepts
Pattern recognition finds trends across multiple conversations
Interactive visualizations make insights easy to understand
Time-based analysis shows how discussions evolve
Visual Insights
Heda's trend analysis is presented through intuitive visualizations:
Topic clouds
Showing discussion themes by volume
Trend graphs
Tracking topic growth over time
Relationship maps
Connecting related technical concepts
Heat maps
Highlighting when topics are most discussed
Use Cases
Documentation Planning
Identify the most discussed topics to prioritize documentation efforts where they'll have the most impact.
Content Creation
Discover what your community is most interested in to guide blog posts, tutorials, and resources.
Product Development
Track which features or components generate the most discussion to inform your roadmap.
Support Optimization
Find recurring issues or questions to create resources that address common problems.
Sample Trends Report
Technical Discussion Trends (Q1 2025)
Top Growing Topics
- Serverless Functions (+78% discussion volume)
- TypeScript Migration (+45%)
- CI/CD Pipelines (+32%)
- API Authentication (+28%)
Common Questions
- "How to handle authentication in serverless functions?"
- "Best practices for TypeScript in large projects?"
- "Debugging deployment issues in CI/CD?"
Topic Connections
Strong associations between:
- Serverless + Authentication + API Design
- TypeScript + Testing + Migration Strategies
- CI/CD + Docker + GitHub Actions
Actionable Intelligence
Heda's trends feature goes beyond basic analytics by providing:
- Actionable recommendations based on community discussions
- Documentation gap analysis showing what needs better coverage
- Support topic prioritization highlighting common pain points
- Interest forecasting to anticipate future community needs
Trends Comparison
| Heda Trends | Manual Analysis | Text Analytics Tools | |
|---|---|---|---|
| Technical Focus | Varies | Generic | |
| Time Required | Automatic | High | Setup intensive |
| Discord Integration | Native | Manual process | Requires export |
| Voice Content Analysis | Difficult | Requires transcription | |
| Actionable Insights | Depends on analyst | Generic insights | |
| Technical Accuracy | Depends on analyst | Often misses context |
Start Discovering Trends
Gain deeper insights into what your technical community is really talking about.
No credit card required • First insights available after 7 days of data