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Text Data Sources

BuildBetter processes various text sources:
  • Support tickets
  • Survey responses
  • Chat transcripts
  • Email communications
  • Customer feedback forms

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Data Import

Direct Upload

CSV and text file import

Integration Sync

Connected system import

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Supported Formats

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File Types

  • CSV files: Primary import format for text feedback
  • Text documents: Via CSV with text content column
  • JSON data: Via API/GraphQL imports

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Data Structure

  • Structured data
  • Semi-structured
  • Free-form text
  • Mixed content
  • Metadata fields

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Processing Steps

1

Data Import

Load text content
2

Format Check

Validate structure
3

Analysis

Extract insights
4

Integration

Combine with other data

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Integration Options

Currently Available:
  • Zendesk
  • Intercom
  • Kustomer
Alpha (Request Early Access):
Currently Available:
  • Typeform (Alpha)
  • Pendo
  • CSV upload (any survey data)
Alpha (Request Early Access):

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Signal Extraction

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Text Analysis

  • Topic detection
  • Sentiment analysis
  • Intent recognition
  • Entity extraction

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Signal Types

  • Feature requests
  • Bug reports
  • Feedback items
  • Support needs
Ensure text data is properly formatted and cleaned before processing.

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Data Quality

Validation

Data quality checks

Cleaning

Text preprocessing

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Processing Features

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Text Processing

  • Language detection
  • Text normalization
  • Keyword extraction
  • Pattern matching

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Enhancement

  • Data enrichment
  • Context addition
  • Metadata tagging
  • Cross-referencing
Text processing quality affects signal extraction accuracy.

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Best Practices

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Data Preparation

  • Clean formatting
  • Complete fields
  • Consistent structure
  • Valid content

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Processing Setup

  • Source configuration
  • Field mapping
  • Rule definition
  • Quality checks
Regular data quality checks improve signal extraction results.

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Troubleshooting

  • Format errors
  • Missing data
  • Structure problems
  • Encoding issues
  • Analysis errors
  • Quality issues
  • Integration failures
  • Performance problems

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Performance Optimization

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Processing

  • Batch operations
  • Resource allocation
  • Queue management
  • Cache usage

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Integration

  • Sync scheduling
  • Error handling
  • Retry logic
  • Load balancing

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Privacy & Security

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Data Protection

  • Access control
  • Data encryption
  • Privacy rules
  • Retention policies

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Compliance

  • GDPR rules
  • HIPAA standards
  • Data handling
  • Audit trails
Regular monitoring ensures efficient text data processing and analysis.