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

# Review creative evidence and record learning

> Inspect creative analytics and turn settled comparisons into reviewed, bounded memory.

Use **Intelligence → Creatives** to inspect creative insights and **Creative analytics** to examine observed asset performance. Use **Learning** when you have a settled control-versus-variant comparison to record. These views do not launch a new ad experiment for you.

## Inspect creative analytics

1. Confirm the selected account and open **Creative analytics**.
2. Select the available reporting window, from **7d** through **All**, and inspect the returned analysis.
3. Refresh to recompute from the latest synced data when needed. Inspect individual creative evidence before applying an account-wide conclusion.

Creative duration, repeated attributes, or an observed metric difference do not prove profitability or causation. Check exposure, spend, result definitions, and sample size. Empty or failed analysis needs [data recovery](/intelligence/freshness), not an invented winner.

## Create a settled experiment record

1. Open **Intelligence → Learning** and select **New experiment** if another record is open.
2. Enter **Control reference**, **Variant reference**, **Objective**, and **Audience**. Choose **Metric**, **Window starts**, and **Window ends**, then enter **Source**, **Provider**, and **Attribution**. Select **Create experiment**.
3. Under **Add factual result**, choose **Side** and enter **Sample size**, **Spend**, **Events**, and **Freshness** from the same settled reporting window. Select **Record result** and repeat for the other side. The metric is calculated from the raw counts.
4. Inspect **Evidence** and the evidence check. Resolve missing or inconsistent inputs before treating the comparison as ready.
5. Use **Interpret the result** and **Record interpretation** to describe what was observed. Under **Propose learning memory**, write a bounded statement and its rationale, then select **Propose memory**.

## Review proposed memory

A proposal remains pending until a different eligible reviewer uses **Approve** or **Reject** in **Learning memory**. The proposer and workspace owner cannot review that item. If the page says **Needs another reviewer**, ask an eligible teammate to review the evidence in their own account access.

Record the conditions under which a learning applies; an approved statement is not a universal guarantee. If saving fails, preserve the error and inputs, refresh the intended experiment, and check whether the record already exists before retrying.


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