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Activity

A/B testing framework

Establish a systematic approach to experimentation and feature validation

Create a framework for running controlled experiments to validate features and improvements before full rollout.

75 minutes
creation

Overview

Create a framework for running controlled experiments to validate features and improvements before full rollout.

Learning objectives

  • Design experiment structure and process
  • Define statistical significance criteria
  • Create rollout and rollback procedures
  • Establish learning documentation practices

Instructions

Build a comprehensive A/B testing framework for your product development process.

Steps

1

Define hypothesis

15 minutes

Define experiment hypothesis template

2

Set up measurement

20 minutes

Set up measurement infrastructure

3

Create review

20 minutes

Create experiment review process

4

Design analysis

15 minutes

Design results analysis framework

5

Document learning

5 minutes

Document learning repository structure

Pro tips

  • Ensure sufficient sample sizes
  • Control for confounding variables
  • Document all experiments regardless of outcome
  • Share learnings broadly

Example outcome

A robust experimentation framework that enables rapid, data-driven product iteration with clear success metrics.

Explore more resources

Check out the full stdlib collection for more frameworks, templates, and guides to accelerate your technical leadership journey.