Hi. I've learned that Growthbook could detect an already-used attribute ID so an experiment result will be the same for a particular user. I'm using growthbook in Golang backend and it works well in my local. My current implementation: • Keep a pointer of FeatureMap that will be updated by: ◦ A go routine, regularly fetched the latest feature values ◦ A webhook, register the webhook to Growthbook • On each HTTP request, initiate new growthbook context with attribute ID attached (userID). So, new growthbook instance for each request, using the same feature map. My question: • Where did this attribute ID being cached? How did the growthbook instance know that this or that ID is already assigned with an experiment variation? • If I spawn up 5 replicas of backend service, will the growthbook cached this attribute ID independently in each service? ◦ If so, will this lead to the same user receiving different growthbook experiment result in different service? Thank you in advance!

Hi Team, When the risk is 0%, sometimes we see a blank risk column for that particular variant. This is intermittent. Is this expected?? I mean you click on re-run queries for a couple of times and you see a blank risk column for that particular variant whose risk is 0%. and then again if we refresh we see 0% with green background in the risk column. Is this a BUG 🐞 or is it a expected behavior?? Metric type - Binomial Thanks.

Hello there I looks like we overlooked something and it goes wrong. General question: should we change something in the code in order to use Namespaces function? Active test Groups A (33,3%), B (33,3%), C (33,3%). Namespace: [0, 0.5] Disabled test Groups A, B, Namespace [0.5, 1] In the Active test we have A: 80k users, B: 20k users, C: 20k users. (based on analytics) The split is not correct. Could you please advise where we can find the issue?

Hello, I wanted to ask a question about conversion windows and ratio metrics meaning data from outside of the experiment is including in calculations for the experiment. If I have a ratio metric where the denominator can occur substantially (in time) before the numerator, from what I can see I need to include a conversion window value. For my use case, this can be the length of the experiment, so might be high 10s of hours up to anything around 100 or 200. Setting a conversion window to 100 for example means that the endDate values in the generated query end up getting timeshifted by +100 hours, so if I’m doing retrospective analysis (or I have phases set up), I end up including data from outside of the time period of interest. I’m aware of the startDate and endDate jinja keywords that I can include in the definition of the metrics, but these end up getting affected by the conversion delay/window values too. The only workaround at the moment seems to be hardcoding date filters into the queries retrieving the data for the metrics which isn’t viable for anything other than playing around to work out how Growthbook functions. Am I missing something or am I doing something incorrect in my setup? Thanks in advance.

Hi, another question In the visual editor, what's the difference between using the different api_keys that we have? Or can we use any of them?

Hi all, I just used the export/import configuration yaml feature (first screenshot). I exported the yaml from a GrowthBook instance and imported it in another, fresh one. The built of both instances is identical (Build: 2b811d1 (2022-11-02)). The technical environments of both GrowthBook instances are also identical. When importing the exported yaml, a client error occurs (see the second screenshot). For me it looks like the importer expects a "Jupyter Notebook Query Runner", which was never configured in the instance exported from. As an additional effect of the error, I now can't manage and delete the broken data sources any more. Is this a bug? If yes, how can one either repair or get rid of the data sources? FYI: @Tim Klausmann

Hello, How do you deal with getting updates of feature flags in Cloud Functions (e.g. AWS lambda). • Just fetching the features on every feature check? • Using the webhook is not an option in this scenario because the lambda function/docker container is behind a load balancer 🤔 is that correct or do i have a mistake in my understanding?

Hey everyone, I recently completed a C# port of the GrowthBook SDK. I saw the growthbook-dotnet project, but wasn't able to determine the status of it, so I went ahead and wrote my own. The lib is available on NuGet and GitHub. If nobody has contributed a C# lib to the main project already, I'd be glad to do so.

Hello! I'm looking into using Growthbook for some email A/B testing, and I was wondering is there is any way to determine user's experiment variation in bulk? E.g. I have a list of 50k users, and I wish to determine their experiment variations using a single (or anything less than 50k) network requests. I've been reading through the documentation, but haven't seen any hints at this.

Hello! I can't find the option to delete my account. Maybe it's there somewhere but I can't find it. Thank you!