Experiment Summary PDF

Statsig Product Updates
< All updates
10/9/2023

↗️ Experiment Summary PDF

Today, we’re excited to start rolling out an easy way to export a shareable summary of your experiment via PDF.

how to download pulse report from statsig console

To export a PDF of your experiment summary, go to the Pulse tab in your finished experiment, tap Export, and select Experiment Summary PDF. Your PDF summary will contain-

  • Key Setup Information, such as hypothesis, actual vs. target duration, primary/ secondary metrics, experiment variants (w/ group descriptions and images), etc.

  • Results Overview, such as a snapshot of your experiment’s Pulse results, experiment settings (CUPED enabled, etc.), and granular metric-by-metric raw stats

a statsig pulse report pdf

In the future, we’ll also be adding a surface for experiment decision-makers to add more free-form recap text, to provide future viewers of this experiment with additional helpful context.

Stay tuned for continued updates on this surface! And in the meantime, let us know if you have any feedback or feature requests.


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Why the best build with us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
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