Aprende Challenge: A/B Group Assigner | Automating Growth Tasks

In growth hacking, A/B testing is a fundamental tool for optimizing user experience and boosting key metrics. Before running such experiments, you need to assign users to different groups in a fair and unbiased way. Automating this task in Python not only saves time but also ensures that your test assignments are reproducible and transparent. Imagine you have a fixed list of user IDs and you want to randomly split them into two groups: A and B. This approach is used to prepare your audience for an A/B test, where each group will experience a different version of your product, feature, or campaign.

To accomplish this, you can write a Python function that takes a hardcoded list of user IDs and assigns each user randomly to either group A or group B. The output should be a dictionary with the group names as keys and lists of user IDs as the values. This structure makes it easy to see which users are in each group and is ready to use for your experiment setup.


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import random

def assign_ab_groups():
    user_ids = [
        "user_001", "user_002", "user_003", "user_004", "user_005",
        "user_006", "user_007", "user_008", "user_009", "user_010"
    ]
    groups = {"A": [], "B": []}
    for user_id in user_ids:
        group = random.choice(["A", "B"])
        groups[group].append(user_id)
    return groups

# Example usage:
assigned_groups = assign_ab_groups()
print(assigned_groups)

This function first defines a hardcoded list of user IDs. It then creates a dictionary called groups with keys "A" and "B", each mapping to an empty list. For each user ID in the list, the function randomly selects either "A" or "B" and appends the user ID to the corresponding list. When the function finishes, it returns the dictionary showing which users are in group 'A' and which are in group 'B'. Printing the result lets you see the randomized assignment, which will differ each time you run the script due to the use of the random.choice function.

Tarea

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Write a function called assign_ab_groups that does the following:

Uses a hardcoded list of 10 user IDs, named "user_001" through "user_010".
Randomly assigns each user to either group "A" or group "B".
Returns a dictionary with keys "A" and "B", each mapping to a list of user IDs assigned to that group.

Your function should not take any arguments.

Solución

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Sección 1. Capítulo 7

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Suggested prompts:

How can I make the group assignments reproducible so I get the same result every time?

Can I balance the groups so that each has the same number of users?

How can I use this function with a different list of user IDs?

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              12345678910111213141516
            
import random

def assign_ab_groups():
    user_ids = [
        "user_001", "user_002", "user_003", "user_004", "user_005",
        "user_006", "user_007", "user_008", "user_009", "user_010"
    ]
    groups = {"A": [], "B": []}
    for user_id in user_ids:
        group = random.choice(["A", "B"])
        groups[group].append(user_id)
    return groups

# Example usage:
assigned_groups = assign_ab_groups()
print(assigned_groups)