Does anyone know if any of the clients have the ability to override toggles locally? So lets say I am launching the application locally for development but I want to override the value of feature toggle that is off in the dev environment so that it is on while I am doing development. Is there is there any standard across the clients to support something like this. For example maybe using environment variables, or something?

Hey! Loving that we now can create ratio metrics where the analysis unit <> randomization unit. We have a lot of use cases for this, so thanks! 🙌 🙌 I have created a couple of them, and they seem to calculate the rate ok, but the violin plot and Chance to beat control calculation is off (see picture). Is this the case for others too, or is it just with us? Both the nominator and denominator work well by itself.

3 questions: 1. I have one feature flag (it sets a coefficient to 0.5), ran an experiment yesterday , then archived it and marked it as "Lost". I proceeded to try a new experiment with the same feature flag but different variants (e.g. 0.4), but now I don't see any results under Experiments, and clicking update data on my archived experiment does not change the results (they are still from the variants yesterday. 2. When I turn on an experiment in growthbook it takes almost 2 hours for it to effect traffic on production. Is this expected? Have you guys seen this before? 3. If I want to test a new feature on 5% of traffic, is it better statistics to run (a) a test with 5% treatment, 95% control or (b) 10% of traffic, 50% treatment, 50% control.

Hello Everyone, we started to experiment with the GrowthBook. We would not want the rules to be exposed to the frontend ReactJS app. Wondering if there is any server side sdk that we can use to return only results of features to the frontend growthbook library

Does growthbook support split urls tests?

Hello, I’m using the JavaScript SDK to implement Growthbook to my api. We are using Sails.js and fetching feature flag values via Sails policy. We are also trying to set attributes inside of the policy right before fetching from GrowthBook API. Do the attributes in the growthbook instance sustain through multiple requests? We are thinking about setting attributes dynamically based on the API call that is coming in, hence there are concerns with race condition depending on how attributes are sustained.

^ we would also be keen to add some kind of rules/conditions around what can be set up by default, or perhaps e.g. some templates for how features should be set up

hi, i am using growthbook inside docker environment. i defined a test metric over trino db and when i ran the result experiment query, i got this error:

line 59:5: Column 'dimension' cannot be resolved

and here is my query:

-- test_metric_trino (binomial)

WITH __rawExperiment as ( SELECT user_id as user_id, timestamp as timestamp, experiment_id as experiment_id, variation_id as variation_id FROM hive.experiments.viewed_experiment ), __experiment as ( -- Viewed Experiment SELECT e.user_id as user_id, cast(e.variation_id as varchar) as variation, e.timestamp as conversion_start, e.timestamp + INTERVAL '72' hour as conversion_end FROM __rawExperiment e WHERE e.experiment_id = 'test_trino2' AND e.timestamp >= from_iso8601_timestamp('2022-05-24T075900.000Z') ), __metric as ( -- Metric (test_metric_trino) SELECT user_id as user_id, 1 as value, m.timestamp as conversion_start, m.timestamp as conversion_end FROM ( SELECT user_id, occurrence_timestamp as timestamp FROM hive.khabarchin.action_event WHERE event_id = 74 ) m WHERE m.timestamp >= from_iso8601_timestamp('2022-05-24T075900.000Z') ), __distinctUsers as ( -- One row per user/dimension SELECT e.user_id, 'All' as dimension, ( CASE WHEN count(distinct e.variation) > 1 THEN '__multiple__' ELSE max(e.variation) END ) as variation, MIN(e.conversion_start) as conversion_start, MIN(e.conversion_end) as conversion_end FROM __experiment e GROUP BY dimension, e.user_id ), __userMetric as ( -- Add in the aggregate metric value for each user SELECT d.variation, d.dimension, 1 as value FROM __distinctUsers d JOIN __metric m ON (m.user_id = d.user_id) WHERE m.conversion_start >= d.conversion_start AND m.conversion_start <= d.conversion_end GROUP BY variation, dimension, d.user_id ), __overallUsers as ( -- Number of users in each variation SELECT variation, dimension, COUNT(*) as users FROM __distinctUsers GROUP BY variation, dimension ), __stats as ( -- Sum all user metrics together to get a total per variation/dimension SELECT variation, dimension, COUNT(*) as count, AVG(value) as mean, STDDEV(value) as stddev FROM __userMetric GROUP BY variation, dimension ) SELECT s.variation, s.dimension, s.count, s.mean, s.stddev, u.users FROM __stats s JOIN __overallUsers u ON ( s.variation = u.variation AND s.dimension = u.dimension )

Hi! is there a way to have Growthbook store the latest features configuration to a file on the system? This would be like using a webhook but for storing the data to file(s) instead of sending it over to some other service. If i understand correctly right now the features data is fetched on every request, is that right?

Hey, I have two tables containing all experiments data. One called experiment_viewed which works perfectly as a source for all experiments, and then also an experiment_won with the same structure (that tells us whether users complete an experiment flow). When importing an experiment it correctly filters experiment viewed using experiment_id = ‘name of experiment’. However when I add experiment_won as a metric it will take all currently running experiments into account. Is there anyway that I can access the experiments tracking key inside of a metric? What I would like to have is a metric called Experiment won with a where clause like (where experiment_id={tracking_key}) or something similar. Otherwise I would have to create a new experiment_won metric for each experiment. Is this something that is possible to do? Thanks in advance!