> ## Documentation Index
> Fetch the complete documentation index at: https://docs.narrative.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Evaluate Your Mappings

> Use AI to assess and improve your schema mappings

In this tutorial, you'll use AI-powered evaluation to assess your mapping quality and refine your normalizations.

<Info>
  This tutorial is part of the First Steps series. Complete [Normalize with Rosetta Stone](/getting-started/normalize-data) before starting.

  This step is optional for getting started. Evaluating mappings is more commonly part of a production workflow when you want to refine and improve your normalizations over time.
</Info>

<iframe src="https://demo.arcade.software/GQdxstjg5dpNirzwe7Ly?embed&embed_mobile=tab&embed_desktop=inline&show_copy_link=true" title="Review and refine transformations in a normalized dataset" frameBorder="0" loading="lazy" allowFullScreen allow="clipboard-write" style={{ width: '100%', aspectRatio: '16/9' }} />

## Prerequisites

* A Narrative I/O account
* At least one dataset with active Rosetta Stone mappings

## Steps

<Steps>
  <Step title="Confirm your workspace">
    Use the workspace dropdown to switch organizations if needed. This keeps your normalized data organized by account.
  </Step>

  <Step title="Open Normalized Datasets">
    Navigate to **Normalized Datasets** to review and manage your standardized tables.
  </Step>

  <Step title="Select your dataset">
    Select the dataset you want to inspect. You can review its mappings, quality signals, and transformation setup.
  </Step>

  <Step title="Open the Actions menu">
    Open the **Actions** menu to access evaluation and update options for this dataset.
  </Step>

  <Step title="Run Evaluate Mappings">
    Choose **Evaluate Mappings** to validate how columns map to standardized attributes and assess confidence levels.
  </Step>

  <Step title="Review evaluation results">
    Click **Evaluate Mappings** to refresh scoring and identify any fields that need attention.
  </Step>

  <Step title="Check column normalization status">
    Review the column normalization status to see which columns have been analyzed and which still need review.
  </Step>

  <Step title="Use AI to auto-analyze">
    Use the **AI** button to auto-analyze column normalizations and speed up the review process.
  </Step>

  <Step title="Review an expression">
    Open an expression to review the exact logic producing the output. This helps you understand how source values are being transformed.
  </Step>

  <Step title="Edit expressions as needed">
    Edit expressions to refine how values are parsed and formatted for consistency. You can adjust logic for timestamps, addresses, or any other field.
  </Step>

  <Step title="View all transformations">
    View all transformations to quickly audit every normalized field and its confidence score.
  </Step>
</Steps>

## Next steps

<CardGroup cols={2}>
  <Card title="Managing Evaluations" icon="gauge" href="/guides/rosetta-stone/managing-evaluations">
    Deep dive into evaluation workflows
  </Card>

  <Card title="Accepting AI Suggestions" icon="wand-magic-sparkles" href="/guides/rosetta-stone/accepting-ai-suggestions">
    Advanced suggestion review techniques
  </Card>

  <Card title="Confidence Scoring" icon="gauge-high" href="/concepts/rosetta-stone/confidence-scoring">
    Understand how scores are calculated
  </Card>

  <Card title="Validating Mappings" icon="circle-check" href="/guides/rosetta-stone/validating-mappings">
    Manual testing techniques
  </Card>
</CardGroup>