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Data Expansion

Data expansion transforms your existing test cases and logs into larger, more diverse datasets. Teammately's AI Agent generates similar but distinct and more diverse variations while preserving the distribution of your original data.

You can use this instrument if your existing test data already reflects actual user behavior and contains domain-specific terminology. Data expansion maintains these valuable qualities while addressing the limitations of small sample sizes.

Expansion Process​

The expansion workflow follows a structured approach:

  • Data Analysis: Upload and analyze CSV files to identify patterns
  • Pattern Extraction: Extract linguistic structures and entity relationships
  • Controlled Variation: Generate variations that maintain original intent
  • Distribution Management: Optimize dataset to balance common and rare cases

Supported Formats and Configuration​

Teammately handles various data formats from simple queries to complete test cases with metadata. You can configure expansion parameters including volume targets, variation levels, and diversity settings to match your specific needs.