Share the Results and Outcomes of Your Experiments

Sharing the outcome of experiments is a best practice for teams to adopt and foster a culture of experimentation. Evangelizing your wins, your losses, and everything in between enables all teammates to share your learnings while increasing visibility of the benefits of experimentation.

So, we're excited to announce our new Share Results functionality enabling you to easily download and share your results.

Share Results Easily With Just a Few Clicks

Our new Share Results feature allows you to download a copy of your metrics impact results in various formats or share via URL.

By downloading and/or sharing the outcomes of your experiments, you can:

• Keep teammates updated with the outcome of your experiments
• Store a record of experiment outcomes in your preferred documentation formats or applications
• Conduct further manual analyses or create visualisations
• Import the metric results into your own internal systems
• Easily view results in a tabular layout

We have provided various format options to support the needs of all teams and functions:

PDF

The visually appealing, intuitive tiles present metrics in a style similar to the Split UI, ideal for sharing with stakeholders and business executives to quickly grasp the important details.

CSV

Presenting metric impact results in a tabular layout, this format is ideal for a more in depth analysis of the results by teammates who are comfortable with spreadsheets, or data scientists and other technical folks who may want to create their own visualizations and offline analyses.

JSON

This format contains the most comprehensive set of data, including the precise metric definitions, allowing you to ingest the metric impact results into your own internal systems.

Summary

This functionality is now available for all of our experimentation customers, in response to feedback that they wanted to:

• "Convey the outcomes of experiments in executive reports"
• "Build an internal knowledge bank which all teammates can reference"
• "Incorporate the results into an internal data lake to run meta analyses"

Wewould love to hear what you think of this feature as well as any ideas you have for future improvements. Connect with your Customer Success Manager or reach out to the Split team via our website or social media channels.

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