Frequently Asked Questions

A curated summary of the top questions asked on our Slack community, often relating to implementation, functionality, and building better products generally.
Statsig FAQs
OpenAI Brex ea Notion Microsoft affirm Univision ziprecruiter Betterfly unobravo Oura Yape
GENERAL

Can I export users exposed to an experiment and filter by a specific metric in Statsig?

Date of slack thread: 8/5/24

Anonymous: In statsig can i export the list of users who were exposed to the experiment and also completed a metric (e.g Trial started)? Essentially, I would like to filter users in an experiment by whether they did a certain metric

Makris (Statsig): Hi Meehir, we don’t support raw data exports, but it is possible to use a user having one metric event in the definition of another. Can you help me understand your use case so we might help come up with a solution for you?

Anonymous: Yes we have a discrepancy with our data in Statsig and the data from a third party so I want to send them over a list of users who were exposed to the feature and were in the pass group, filtered on one of our metrics which is Trial started (as this is the pulse result that seems odd). We can then share this list with the third party who can validate whether they users they track on their end exist in the statsig numbers

Makris (Statsig): Hi Meehir, I just followed the advice of Statbot above and turns out there’s more function here than I remembered. It looks to me like you should be able to select the metric you’re interested in (e.g Trial started) in this dropdown. I tried it for a random experiment of yours and created the report “addition_of_miles”. Looking at the data returned in CSV, seems to me like it returns 1 for users with the trial started.

Makris (Statsig): Does this work for you?

Anonymous: I think because it was a feature gate rather than an experiment, I can’t add the metric. This is what I see:

Anonymous: I wonder if it being a feature gate rather than experiment has caused this data skew?

Makris (Statsig): Thanks for clarifying it was a feature gate rather than exposure. I didn’t check exports for that.

Makris (Statsig): I"m unsure if there’s a difference between the ability to export for gates as compared to experiments. <@U06U7NEA7HC> Could you help out here?

Lin Jia (Statsig): Hi <@U07CY4P5U5A>, have you tried clicking the Export button in the screenshot you shared? That might include all metrics data and you can filter to the specific metric you care about

Anonymous: Yes I did and this is the data I get (only included 1 user here). The metric values don’t seem to correspond to the pulse result metrics (pic also attached of the pulse dashboard)

Anonymous: Actually I think that worked, there’s just so many rows I couldn’t initially find it

Makris (Statsig): Awesome to hear Meehir! Let us know if you have any other issues

Join the #1 experimentation community

Connect with like-minded product leaders, data scientists, and engineers to share the latest in product experimentation.

Try Statsig Today

Get started for free. Add your whole team!

What builders love about 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
We use cookies to ensure you get the best experience on our website.
Privacy Policy