🎓 Meta-analysis : June Release

Statsig Product Updates
< All updates
6/3/2024

Meta-analysis/Experiment Timeline View

We're rolling out the first in a series of views that enable meta-analysis across your corpus of experiments. This view lets you to filter down to experiments a team has run. At a glance you can answer questions like

  1. What experiments are running now?

  2. When are they expected to end?

  3. What % of experiments ship Control vs Test?

  4. What is the typical duration?

  5. Do experiments run for their planned duration - or much longer or shorter?

  6. Do experiments impact key business metrics - or only shallow or team level metrics?

  7. How much do they impact key business metrics?

It is rolling out now to experimenters that have expressed interest in or have offered feedback on meta-analysis needs. Reach out in Slack if this is an area of interest; we're adding more over the summer and would love to hear from you! It is homed under the Insights tab in the left navigation.

meta-analysis

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OpenAI OpenAI
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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.
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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.
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President
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Data Science Manager
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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.
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Director of Engineering
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