Hey, @Graham or anyone else, I hope this message finds you well. I'm currently facing an issue with CORS policy while using your visual editor on my website (https://www.hurb.com). Here's the error message I'm encountering:

Access to fetch at '<https://cdn.growthbook.io/api/v1/visual-changesets/vcs_19g61mlgcpfhuq?includeExperiment=1>' from origin '<https://www.hurb.com>' has been blocked by CORS policy: Response to preflight request doesn't pass access control check: No 'Access-Control-Allow-Origin' header is present on the requested resource. If an opaque response serves your needs, set the request's mode to 'no-cors' to fetch the resource with CORS disabled.

Could you please assist me in resolving this issue? I've checked my configurations on the GrowthBook dashboard, but I'm still unable to get the visual editor to work properly due to this CORS issue. Any guidance or support would be greatly appreciated. Thanks in advance!

Hi there. My experiment is showing “not enough data” even though I’ve reached the minimum sample size specified in the settings. Are there some other factors that come into play?

Hi, we deployed a growthbook in azure using kubernetes helm chart. On starting we see some error in UI( see attached screenshot). How can we prevent it( I checked the error in the console and in the network, nothing special)? When I push the "feature" button, I can see the data properly

Hi guys, 1 - How can I export my features to the json file 2 - How can I group a features by subjects 3 How can I define a features for different enviroments(prod,dev, etc) 4 the same question how can I define a users and assign them for specific features. Thx a lot

Hi all, I'm interested in contributing to GrowthBook's stats engine. However, I couldn't find relevant open issues or items in the roadmap. Are you generally interested in developing the stats engine further, and if so, I would be interested in knowing more about the plans 😄

Hey GrowthBook team, thanks for your work on a very useful product! A few questions: 1. Why is it necessary to archive experiment results when increasing percentage traffic? From the dashboard: “Changing the traffic percent or split will start a new phase of the experiment. All previously collected results data will be archived and it will start fresh from this point on.” 2. Could you advise on the “correct” time to interpret experiment results? We’ve had an experiment drop in and out of statistical significance, looking at “Chance to Beat Control” in the dashboard. I figure it’s not great to look every day and decide the experiment’s done on the day it shows >95% 🙂

Hello everyone. Im trialing out growthbook for my current company and I'm having to hack around the fact that (please correct me if I'm wrong) a feature flag's

default value

is shared between environments, instead of being distinct to each. Say I have feature

X

working in

test

under a boolean

on/off

flag, so I just want to enable it in

test

and have the default value as

on

. For

prod

I want to

X

to be

off

for everyone except for some internal users, but if I enable it in

prod

and set the default value as

off

it then affects the

test

env. My current hack is to enable the feature in all envs with default value as

on

, then in

prod

adding an override clause that turns on the feature if the userId matches some condition. If there are distinct default values for each env then they are isolated and you won't risk accidentally breaking one when configuring the other. Plus I can see that

override rules

are already env-scoped. So I was just wondering if there are specific reasoning behind making

default value

a global config. I'm very new to feature toggling in general any suggestion/criticism is more than welcome!

hi! I see this issue when i'm trying to upload screen. Just design issue)) May be there is another place, where I can share this little bugs? or slack is good?

How can we setup on C#/.NET Core? Will we send a HTTP request, before we know each variant to show?

This might've been asked before, what's the best way to calculate bounce rate? Any sample SQL? We do have a

pages

table and

experiment_viewed

table with a couple of attributes and wondering if a bounce rate metric can be created through them. Any pointers or if anyone here has done similar functionality?