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If you want to QA a feature experiment or roll out a feature variation to an internal group of users, you can combine a user whitelist with a targeted delivery rule. This combination is one of the easiest ways to do it. For example, suppose you want to release a new feature with two variations: Feature A and Feature B. Before launching the experiment, you want to QA its live behavior by showing Feature A to a group of internal users and Feature B to a group of stakeholders. Follow these steps to set up that QA test:
  1. Create segments of whitelisted users (Group A and Group B).
  2. Create a targeted delivery rule for each group of users.
Avoid setting many user IDs (fewer than 20 per variation): the size of your data file increases, and so does the latency, since the SDK must fetch a larger file. If you want to target more users, you can set a custom data attribute for the whole audience (for example, internal users only), then target the experience with that audience.

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Create a targeted delivery rule for each group of users

  1. Click Activate > Feature flags and edit your feature flag.
  2. Add a new rule and select Targeted delivery.
  1. On the right side of the panel, create a new segment (Group A) and look for the Visitor code condition. Add the user IDs that you want to be part of Group A.
  2. Choose the variation you want to serve, for example, Variation A. All users from Group A receive Variation A of your flag.
  1. Add a second Targeted delivery rule and replicate the steps for Variation B and Group B.