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

# Add expected output

> Record the correct answer for dataset rows so regression tests can check your agent against a known-good result.

<Info>
  **Where this fits:** Part of **Refine**. Expected output turns a [dataset](./overview) of real traces into a test set with a known-good answer for [regression testing](../test-and-fix/regression-testing).
</Info>

**Expected output** is the correct or desired answer for a dataset row. It lets a test compare your agent's actual output against a known-good result, rather than only checking the output in isolation. Expected output is optional, since many evaluations check a response on its own merits, but it is what makes a row a precise regression case.

## Add expected output to a row

<Steps>
  <Step title="Open the row">
    In a [dataset](./overview), open a row to view its input, output, and fields.
  </Step>

  <Step title="Fill in the expected output">
    Add the correct answer in the **Expected output** field. A row with no expected output shows an **Add expected output** prompt, so it is easy to see which rows still need one.
  </Step>
</Steps>

## Where the expected answer comes from

When you build a dataset from a failing [signal](../signals/overview), the agent's actual output was wrong, which is why the signal exists. The expected output is the response the agent should have produced. Common sources:

* the correct answer a human reviewer would give
* the behaviour described in the signal or in an [annotation](../annotations/overview)
* a corrected version of the original output

## Next step

* [Regression testing](../test-and-fix/regression-testing): replay the dataset against your agent and check the results.