# 2.16 - Auto Correlation

Auto Correlation — Appvance IQ documentation.

# Auto Correlation Overview in AIQ

**Last reviewed:** September 29, 2026

Use this article to understand when AIQ Auto Correlation should be used to detect and reuse dynamic values across requests or steps.

## What changed in this article

- Expanded the short title into an overview of what Auto Correlation is for.
- Clarified that correlation is useful for dynamic session IDs, tokens, generated IDs, and request/response dependencies.
- Added guidance to review suggested correlations instead of accepting every match automatically.

## Validation workflow

1. Identify failing requests or steps that depend on dynamic values.
2. Run Auto Correlation and review the extracted source and target values.
3. Replay the scenario and confirm the correlated value resolves the failure without matching unrelated data.

**Review note:** This page now explains when to use Auto Correlation before diving into how it works.

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Last updated: September 29, 2026

If you have feedback on this topic, contact <documentation@appvance.ai>.

# How Auto Correlation Works in AIQ

**Last reviewed:** September 29, 2026

Use this article to understand the mechanics of AIQ Auto Correlation and how extracted values are applied during replay.

## What changed in this article

- Kept the “how it works” focus but added clearer mechanics around extraction, variable reuse, and replay substitution.
- Added validation checks for source response, target request, matching pattern, and false-positive correlation candidates.
- Added troubleshooting guidance for values that change per user, per iteration, or per environment.

## Validation workflow

1. Locate the dynamic value in the source response or prior step output.
2. Confirm where the value must be reused in a later request or action.
3. Replay with correlation enabled and verify the substituted value matches the current execution context.

**Review note:** This page now complements the overview by explaining the correlation lifecycle.

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Last updated: September 29, 2026

If you have feedback on this topic, contact <documentation@appvance.ai>.