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Evaluate Data Quality and Integration End-to-End

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Linked challenge: Automate GenAI Data Prep & System Integration

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Linked challenge
Automate GenAI Data Prep & System Integration

Prompt source

Original prompt text with formatting preserved for inspection.

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Set up a comprehensive test suite to evaluate the entire data preparation and integration pipeline. Use a synthetic dataset with known data quality issues and schema discrepancies. Verify that the final integrated data meets specified quality standards and accurately reflects the source information after transformation. Document any issues found and proposed remediations.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Preserve the rubric, target behavior, and pass-fail criteria as the baseline for evaluation.

Tune next

Adjust fixtures, mocks, and thresholds to the system under test instead of weakening the assertions.

Verify after

Make sure the prompt catches regressions instead of just mirroring the happy-path examples.