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Documentation Index

Fetch the complete documentation index at: https://confidence.spotify.com/llms.txt

Use this file to discover all available pages before exploring further.

Explorations let you analyze experiment results with additional metrics and dimensions for exploratory purposes.
An experiment needs to have produced exposure for an exploration to be possible.

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Create an Exploration

1

Navigate to the experiment

After your experiment starts to produce exposure, open the experiment and select the Result tab.
2

Create a new exploration

Click the + button next to the Explorations heading in the right sidebar.
3

Enter a name

In the Create exploratory analysis dialog, enter a name for your exploration and click Create.

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Add Metrics

1

Open the metric selection dialog

Click Add metric to open the metric selection dialog.
2

Select metrics

Use the checkboxes to select the metrics you want. You can select any metric that uses the same entity configured in the metric configuration section for your experiment.
3

Add the metrics

Click Add metrics to add the selected metrics to your exploration.
4

Trigger calculations

Click Retrigger to start the calculations for your selected metrics.

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Add Dimensions

1

Select dimensions for each metric

For each metric, you can add dimensions (if any exist). Dimensions come from dimension tables that use the same entity as the metric.

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Write a Conclusion

After you have seen the results, you should write a conclusion detailing what you learned from this analysis. The conclusion is important for posterity, and to help others understand what the outcome of running the analysis was. A good conclusion states the reason for running the analysis, the interpretation of the results, and if you took any action based on it.

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Delete an Exploration

1

Open the exploration

Click the exploration in the Explorations sidebar section.
2

Delete the exploration

Click the Delete button and confirm the deletion.
Do not delete an Exploration because results are not significant! Understanding that there was no effect is as important as finding an interesting effect. There is also a good chance that someone has the same great idea as you ā€ keeping your analysis around is likely to reduce duplicate efforts in your organization.

Exploration Reference

Deep dive into exploration features

Create Dimension Tables

Add dimensions for segmentation

Analyze Results

Learn about result analysis