---
title: Build an Experiment Scorecard
slug: analytics/docs/build-an-experiment-scorecard
docTags: 
createdAt: 2026-07-20T15:45:25.426Z
---

The Experiment Scorecard offers a streamlined approach to comparing experiment variations concerning business metrics stored in your data warehouse. It makes linking experiments to business outcomes easier and delivers deeper insights into user behavior and experiment performance.

For example, you can create algorithms for personalized content in the Flix streaming app to boost user engagement and increase revenue. The following example uses the Flix app and its demo datasets, which you can also see inside the app.

1. Go to **+ >** **Experiment Scorecard**.
2. Select the metric type using the drop-down list, and then select **Summary**.
3. Choose the preferred Optimizely Feature Experimentation or Web Experimentation **Experiment**, and then complete the following:
   - **Dataset** – Select **Users** for the actor dataset that includes the users in the experiment.
   - **Threshold** – Set the statistical significance threshold to **95%**.
   - **Variations** – Select the [variations](docId\:r8lhUpEu7fZ2ZzIjwdvwl), which are alternate versions of a site that you test against the original in Optimizely Experimentation.

     ![opti-exp-1.png](https://api.archbee.com/api/optimize/BrbvVORKJ5iIeSMZye5kI/DARSFl_NRziCTpPAiVEZr-20260720-144924.png)
4. Configure the **Decision-making Metrics**. In this section, you can create a metric or use a previously created one.
   - To create a metric, you have three options: **Conversion**, **Numeric aggregation**, and **Ratio**. Select one from the catalog or add a new block if you want to use an already created metric. [Learn more about metrics in Experiment Scorecard](docId\:IzkWOkNtfZNnS3afFmYNV). For example, if you want to configure a **Conversion** metric, choose **Conversion Rate** as the measure type and **Play Content** as the event.
   - Select the metric's format. By default, it is set to **Percentage**.

     ![dec-metrics.png](https://api.archbee.com/api/optimize/BrbvVORKJ5iIeSMZye5kI/hc2_M22Gl5hPWksE4CQY6-20260720-144924.png)
5. (Optional) Add **Guardrail Metrics**, which are critical business indicators you closely monitor during experiments. You can choose from three options: **Conversion, Numeric aggregation,** and **Ratio**, or you can select an existing **Metric.** For example, select an existing metric, like *Total Ad Revenue*.
6. Choose a **Baseline** from the drop-down list. The option you select under **Baseline** is the variant against which other variants are compared. The time interval is automatically configured to match the experiment's duration using metadata from Optimizely. In this example, it is set to **Since Sat, February 12, 2022**.

   ![pickbaseline.png](https://api.archbee.com/api/optimize/BrbvVORKJ5iIeSMZye5kI/1KgzMwC2KKbiMn71aiR7u-20260720-144924.png)
7. Click **Run**. The scorecard displays a statistical significance table, showing which variation performed better based on the selected metrics.
8. Enter a descriptive name for the analysis and save it.

   ![savexp.png](https://api.archbee.com/api/optimize/BrbvVORKJ5iIeSMZye5kI/4j0nt_hEtDA7dL_o1nV3X-20260720-144924.png)