Data preparation and quality

Backfill missing qualification fields

Backfill configured qualification fields while preserving existing values and rejecting invalid industries.

Available recipeIncludes configuration, sample data and tests

Make it your own

Review the setup and limits below, then open an editable copy in Turbyn.

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What it does

Fills blanks only and reports filled, preserved, and rejected fields.

What to customize

Configure source-to-target mappings and valid industries.

Run the included tests with your configuration and mappings. Review success, missing-input and failure results before publishing.

Expected outcome

This included example runs in dry-run mode with synthetic data. Integration tests separately cover provider responses using test doubles. It is not a live customer result.

Sample input

sample-input.json

{
  "inputFields": {
    "field1": "{\"job_title\":\"Engineer\",\"industry\":\"software\"}",
    "field2": "{\"companySize\":\"50\"}"
  }
}

Sample output

sample-output.json

{
  "outputFields": {
    "output1": "{\"jobTitle\":\"Engineer\",\"industry\":\"software\"}",
    "output2": "filled",
    "output3": "{\"filled\":[\"jobTitle\",\"industry\"],\"preserved\":[],\"rejected\":[]}"
  }
}

Returned fields

output1: JSON patch
output2: filled, unchanged, or invalid
output3: JSON diagnostics

What changes when it runs

Reads JSON source and existing target fields; returns safe patch proposal and diagnostics without CRM writes.

Ready to try it with your rules?

Map your inputs, test a sample and publish the version you’ve checked.

Use this recipe