It looks like https://app.growthbook.io/ is really slow

It seems it´s taking a while for the https://cdn.growthbook.io/config/key_zzzzz call to return the latest experiment overrides. In my case, Cloudfront it returning a cache hit from the call, with a response that is not the most up to date, so I presume you are not purging cache but you are are letting current cf cache to expire. I am right?

Hello guys! I have a general question over experimentation processes... when we ramp-up the volume of users in the experiment (suppose 50% control vs 50% treatment), of 10% of the total user base to 50% (preserving the 1:1 ratio), is it possible we're introducing a temporal bias to the experiment? • For example, in a scenario were a user base is highly seasonal, by ramping up in a specific period, we might be oversampling a season, and when looking at the overall results, ATE/CATE, there is an underlying Simpson Paradox. I ask this because of a discussion on my company, there was a team wanted to ramp up to accelerate the results, but our user base is highly seasonal, and then the question we couldn't answer for sure was: Should we ramp up only for validation of a decision taken in the initial design? Or is it valid to ramp up in the middle of the experiment to accelerate the experiment?

Can anyone point me to a method for dealing with flicker on webflow visual testing? We're implemented via tag manager if that helps in any way...

Hey all, can anyone tell me if Growthbook is GDPR compliant with all it's data?

Hi everyone. Have a question regarding Growthbook installation via GTM and event tracking with GA4 (which is also installed via gtm). Initialization code installed with the SDK (I`ve tried to do it separately with the same results) CSP allows the launch of the script. AA test is launched in a growthbook control panel. The main problem is I can`t send the ga4 event on callback. Secondary problem - I can`t get any info from growthbook debugger (dev mode is on) because it isnt working. What do you think I should do to fix this issue? Has someone already faced this problem?

I'm using growthbook with a nextjs app... Weirdness is going on where locally I get the experiment but on production I don't...

const growthbook = new GrowthBook({
  apiHost: process.env.NEXT_PUBLIC_GROWTHBOOK_API_HOST,
  clientKey: process.env.NEXT_PUBLIC_GROWTHBOOK_CLIENT_KEY,
  enableDevMode: process.env.NODE_ENV === 'development',
  trackingCallback: (experiment, result) => {
    console.log('Viewed Experiment', experiment, result);

    if ('gtag' in window) {
      (window as any).gtag('event', 'experiment_viewed', {
        event_category: 'experiment',
        experiment_id: experiment.key,
        variation_id: result.variationId,
      });
    } else {
      console.warn('no gtag');
    }
  },
});

locally i get the console log for Viewed Experiment. On Prod I don't get any logs at all... Very strange... The only difference should be enableDevMode (I tested locally the production build...)

Hi all! [Help with Namespaces] We are using the Namespace's Feature to separate the population of two A/B test that we are running. We set 49% for "login-social" and 50% for "Onboarding - Security Info" but instead, we have a lot of recording of hotjar demonstrating users that see both tests. Someone can help us find what we are making wrong?

Hey I want to set forced value for my feature using the sdk, how can I do it? Thanks. I found this ref in the docs: https://docs.growthbook.io/lib/js Still not clear about the implementation.

Hi all. I have a question about

anonymous_id

. How to use it correctly? • For example, if I have an

orders

table and I build metrics based on it. • Do I need to store both

anonymous_id

and

user_id

in

orders

and the same fields in

viewed_experiments

? • Then add

anonymous_id

as Identifier in GB and select

ananoymous_id

from

orders

table in my sql metric? • And if the

anonymous_id

from

orders

and

viewed_experiments

match, then I will get a conversion, right? • What if a user from the orders table was previously assigned to a different option? For example, if I have this records in my database:

ORDERS TABLE (id, user_id, anonymous_id, timestamp)
1, 1, anon1, 2023-01-01 (the user id was known at the time of creation)
2, 1, anon2, 2023-01-04 (user ID added to the order after user authorization)

VIEWED_EXPERIMENTS TABLE (user_id, anonymous_id, experiment_id, variation_id, timestamp)
1, anon1, experiment1, 0, 2023-01-01 (the user created the order authorized)
null, anon2, experiment1, 1, 2023-01-04 (the user created an order as an unauthorized user and ended up in another group)

What is correct way to analyze experiment in such situation?