Edit a metric
- Optimizely Web Experimentation
- Optimizely Personalization
After you create a metric in Optimizely Web Experimentation or Optimizely Personalization, you can edit it to change its name, winning direction, or measurement.
Edit metrics from an experiment or campaign
Complete the following steps:
- Select the experiment or campaign whose metrics you want to change.
- Click Metrics.
- Click More (...) and select Edit for the metric you want to change.
- Edit the metric as needed.
- Click Save on the Edit Metric page.
- Click Save on the Metrics page.
Edit metrics from the Optimizely Experimentation Results page
Important
You should not edit a metric in a running experiment or campaign. Doing so can change the statistical significance of other metrics in the same experiment or campaign. See the False discovery rate control section.
To edit your metrics, complete the following:
- Click Results for the experiment or campaign whose metrics you want to change.
- Click Edit.
- Click Metrics.
- Click More (...) and select Edit for the metric you want to change.
- Edit the metric as needed.
- Click Save on the Edit Metric page.
- Click Save on the Metrics page.
False discovery rate control
Optimizely balances confidence and speed of results by controlling the false discovery rate for metrics currently appearing on the Experiment Results page and Personalization Campaign Results page. If you change the metrics during an experiment, it alters the number and nature of the hypotheses being tested, which can affect the false discovery rate control calculations.
Keeping metrics consistent throughout an experiment or campaign reduces the risk of cherry-picking and helps ensure statistical accuracy. These cherry-picked results may present a misleading picture. Excessive metric changes after an experiment or campaign has started may invalidate Optimizely's guarantees regarding false detection.