Features
- Data Import: Upload CSV files to import external data into BuildBetter
- Feedback Import: Import customer feedback and conversation data via CSV
- Bulk Export: Export call data, transcripts, and summaries in CSV format
- Custom Column Selection: Choose which data fields to include in exports
- Scheduled Exports: Automate regular data exports to maintain up-to-date reports
Import Capabilities
Feedback Import
Import customer feedback and conversation data:- Navigate to Data → Import → Feedback
- Download the CSV template with required fields
- Fill in your feedback data following the template format
- Upload your completed CSV file
- Map columns if your headers differ from the template
- Review and confirm the data
- Process the import
Data Format Requirements
Your CSV file should include the following fields:| Field | Description | Required |
|---|---|---|
feedback_id | Unique identifier | Yes |
date | Date of feedback (YYYY-MM-DD) | Yes |
source | Feedback channel/source | Yes |
customer_name | Customer’s name | No |
customer_email | Customer’s email | No |
content | The feedback text | Yes |
category | Category/type of feedback | No |
sentiment | Positive/negative/neutral | No |
product_area | Relevant product area | No |
priority | Priority level | No |
status | Current status | No |
Signal Processing
After import:- BuildBetter processes the feedback data through signal extraction
- Signals are generated based on content analysis
- View results in the Signals section of your dashboard
- Filter and analyze the imported data alongside your meeting data
Export Capabilities
Recording Data Export
Export meeting recording data:- Navigate to Recordings or a specific folder
- Select the recordings you want to export
- Click Export → CSV
- Choose what data to include:
- Basic metadata (title, date, duration)
- Participant information
- Tags and categories
- Access and sharing settings
- Click Export to download the CSV file
Transcript Export
Export transcript data:- Open any recording with a completed transcript
- Click Export → Transcript → CSV
- Configure export options:
- Include speaker identification
- Include timestamps
- Include confidence scores
- Format as monologue or dialogue
- Download the CSV file
Analytics Export
Export analytics data:- Go to Analytics section
- Configure the report you want to export
- Click Export → CSV
- Choose the time period and data points to include
- Download the CSV file
Advanced Usage
Scheduled Exports
Set up automated exports:- Navigate to Settings → Scheduled Tasks
- Create a new task, selecting CSV Export
- Configure:
- Schedule (daily, weekly, monthly)
- Data to include
- Filter criteria (date range, tags, folders)
- Delivery method (download, email, or cloud storage)
- Save your scheduled export
Bulk Data Management
For large datasets:- Use the Bulk Export feature in Settings → Data Management
- Select data types to include
- Apply filters for targeted exports
- Choose between standard CSV or compressed formats for large datasets
- Schedule for off-peak hours if working with very large datasets
Troubleshooting
Import Issues
- Verify your CSV file is properly formatted (UTF-8 encoding recommended)
- Check for special characters that might cause parsing errors
- Ensure date formats match the expected format (YYYY-MM-DD)
- Verify required fields are present and not empty
Export Problems
- For large exports, try breaking into smaller batches
- Check for sufficient storage space for download
- Use the compressed export option for very large datasets
- Verify column selection if export is missing expected data
Use Cases
Data Analysis
- Export call data to spreadsheets for custom analysis
- Track meeting metrics over time
- Create custom dashboards in your BI tool
Integration Bridge
- Use CSV as a bridge to systems without direct API integration
- Batch import external conversation data for signal processing
- Export and transform data for legacy system compatibility
Reporting
- Create regular exports for executive dashboards
- Generate compliance reports with selective data
- Share anonymized data with stakeholders