Metrics Logstream and Experiment Checklist

Statsig Product Updates
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7/12/2022

Launch Announcements: Metrics Logstream and Experiment Checklist

Metrics Logstream

Late last week, we launched an additional logstream on the “Metrics Catalog” tab within “Metrics” to provide more visibility and easier debugging for pre-computed metrics being ingested via our API or one of our integrations (Snowflake/ Redshift/ Bigquery, etc.) NOTE- this additional logstream will only show up if you're ingesting pre-computed metrics.

This is the first part of a multi-step project to improve our pre-computed metrics ingestion experience, from setup through to ongoing usage and debugging. Stay tuned for a slew of improvements in the coming weeks… (and if you have feedback on this process/ specific pain points, don't hesitate to ping me directly!) 

Experiment Checklist

As usage of the Statsig platform grows within teams, we’re seeing more and more first-time experiment creators. To this end, we’ve improved our “Setup Checklist” in the “Setup” tab of each experiment. The new checklist includes additional functionality to test your experiment variants inline using ID-based overrides, as well as the ability to test your experiment allocations as they will appear in Production before even starting your experiment.

Note that the new checklist is entirely optional and can be collapsed for our pro experimenters who have been around the block a few times. 


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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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