Hello All, I have a support question. Who/Where would be best to ask?

Hi Growthbook team, having the same issue as I described here https://growthbookusers.slack.com/archives/C01T6PKD9C3/p1687531717500479 , I now have 8 A/A experiments running with 8k+ impressions and 1.5K+ conversions but the confidence level and the percent change still fluctuate daily, anything I can do to verify our setup?

Hi , how exactly does growthbook work with google analytics ga4 ? I am sending my variation id and experiment id in an event name called viewed_experiment , and I am having a separate purchase event which is being send to analytics. My question is how does growthbook indentify from which variant the purchase has happened?

Hi, I am trying to set up GrowthBook but it fails with "Error connecting to the GrowthBook API at http//...3100", what I am doing wrong? I put haproxy in front of it and I use a domain like gb-example.com and gb-api.example.com, - APP_ORIGIN=https://gb.example.com:443 and - API_HOST=http://gb-api.example.com:3101, where haproxy sends to ports 443 -> 3000 and 3101 -> 3100, my compose ports are: 3000:3000 and 3101:3100.

hi all! is there a recommended way of handling the case when self-hosted (or any) growthbook service goes down and other services rely on it? the naive solution is to hardcode fallback values in the codebase but is there any other option?

Hi there! Can I use PostgreSQL instead of MongoDB to store internal information (information about experiments, feature flags, screenshots, rules, etc)? In a YouTube video, it was said that GrowthBook uses MongoDB to store internal information.

We’re running an A/A experiment (random assignment to two variants, but user sees the same product). Typically there’s been small variation for metrics in Growthbook but most of the violin plots are centered at close to 0 now that ~50,000 users have been assigned. Our assignments should be random. But one of our core binomial metrics is showing a 2.3% percent drop in the “experiment” group. Growthbook computes a 3.68% chance that the variant will beat the control, when I’d expect ~50% chance, since the product is the same. This is a ratio metric, with the denominator set to one of the other states in our funnel. The denominator’s metric shows the expected 0% change. There’s a conversion window on the metric, but I tried copying the metric and 1) setting the denominator to all experiment users and 2) modifying the conversion window, and the percent size / probability distribution is roughly the same. This experiment contains has been running for 4 months. I created a new experiment phase and looked at just data from the last 1 month, and I wasn’t able to reproduce this. Seeing a 0% percent change for the new phase. I had a few questions, and I’m open to any advice people have on interpreting the results of A/A tests in Growthbook: • What could help explain this outcome? Are these false positives expected, even after such a long experiment length? • Could this suggest a flaw in our assignment logic or our metric definition in any way? Again, the difference in most other metrics is close to 0, and the second phase showed a 0% difference, so the first result (on 4x the users) is confusing. • Does this suggest that I should be skeptical of any experiment result that moves the metric less than ~2.3%? Is the A/A test helping me understand the underlying natural variance for the metric in any way?

Hi for using bigquery using env variable do we need to give OAUTH permission to the service account?

Hi! What would be the best way to determine if a feature flag is disabled when fetching feature flags from the API (

<https://cdn.growthbook.io/api/features/[key]>

)? Is it safe to assume that

defaultValue

is always set to

null

for a disabled feature?

I'm having an issue getting the SDK set up in a Nest JS environment, but really all I'm trying to do is create a class that contains the configuration for growthbook and provides some wrapping functions. No errors are being thrown when initializing growthbook, but it always returns the default value passed to

getFeatureValue

- anyone else experienced this?