Extensions
ChatGPT Plugin Usage
How to effectively use BuildBetter’s ChatGPT plugin for enhanced AI interactions
Usage Overview
The BuildBetter ChatGPT plugin allows you to:- Query BuildBetter data
- Generate insights
- Create summaries
- Analyze patterns
- Access context
Basic Commands
Data Queries
Access information
Analysis
Generate insights
Query Types
Information Retrieval
- Call summaries
- Meeting details
- Signal data
- Team activity
- Document content
Analysis Requests
- Pattern detection
- Trend analysis
- Insight generation
- Recommendation creation
- Impact assessment
Using Context
1
Set Context
Specify data scope
2
Frame Query
Clear request format
3
Review Results
Check output
4
Refine
Adjust as needed
Advanced Features
Smart Analysis
Smart Analysis
- Pattern recognition
- Trend detection
- Anomaly identification
- Correlation finding
Content Generation
Content Generation
- Report creation
- Summary writing
- Action item extraction
- Recommendation forming
Query Patterns
Effective Queries
- Clear objectives
- Specific scope
- Relevant context
- Proper format
Query Structure
- Command type
- Data scope
- Time range
- Output format
Ensure queries are specific to get the most relevant results.
Output Formats
Text Output
Written responses
Structured Data
Formatted results
Best Practices
Query Formation
- Be specific
- Include context
- Set parameters
- Check scope
Result Usage
- Verify data
- Cross-reference
- Document insights
- Share findings
Clear and specific queries yield better results.
Common Use Cases
Meeting Analysis
- Summary generation
- Action extraction
- Decision tracking
- Follow-up creation
Signal Processing
- Pattern detection
- Trend analysis
- Impact assessment
- Priority sorting
Start with simple queries and build complexity gradually.
Troubleshooting
Query Issues
Query Issues
- Unclear results
- Missing data
- Context problems
- Format errors
Response Problems
Response Problems
- Incomplete data
- Wrong context
- Format issues
- Access errors
Performance Tips
Query Optimization
- Efficient structure
- Clear parameters
- Focused scope
- Resource awareness
Response Handling
- Data validation
- Context check
- Format verification
- Error review
Advanced Techniques
Complex Queries
- Multi-source data
- Cross-reference
- Pattern matching
- Deep analysis
Custom Processing
- Format control
- Output styling
- Data filtering
- Context management
Integration Examples
Workflow Integration
- Regular reports
- Auto-analysis
- Alert generation
- Task creation
Team Collaboration
- Shared insights
- Group analysis
- Result sharing
- Feedback loops
Regular practice improves query effectiveness and result quality.