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How to use search query on a project

This guide explains how to use search query in Aragorn AI to quality-check project data and debug record-level issues before or after integrations run.

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Written by Tyrone Marhguy

What is search query?

Search query lets you find and inspect individual records in a project’s dataset. Use it to slice and dice data without changing project configuration.

Common uses:

  • Quality check (QC) — Confirm record counts look right (for example, “we should have about 1,500 employees”).

  • Debug integrations — When a vendor reports wrong values for one person, find that employee and verify fields (for example, salary) in Aragorn AI vs your HRIS.

Example: Payroll paid an employee $50. Search for that employee by first name, open their row, and check whether salary is wrong in the project (HRIS issue) or only wrong in the integration output (integration configuration issue).

Search query vs test filters

Tool

Purpose

Search query

Find specific records; inspect field values for one person or a small set

Test filters

Preview subsets using filter conditions; does not change the pipeline

Project filter

Permanently controls which records enter the final dataset

See How to inspect project data for test filters and column selection.

Use search query

  1. Log in to your Aragorn AI account.

  2. Open Data Projects and select the project.

  3. Open the search query area on the project data view (near the final dataset table).

  4. Search by a field—for example, first name—and select the employee record.

  5. Review field values in the table (for example, salary, status, employee ID).

  6. Compare values to your HRIS if you are debugging a downstream issue.

Debugging workflow

  1. Search query — Is the value correct in the project final dataset?

  2. If yes — Investigate the integration mapping or vendor configuration.

  3. If no — Fix source mapping or data in the HRIS, then re-sync.

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