Controlled Experiment

What is a Controlled Experiment?

A controlled experiment is a scientific method used to test the effects of a variable by comparing a treatment group (exposed to the variable) with a control group (not exposed to the variable). This helps businesses determine the causal effect of a change or intervention. For example, testing a new onboarding flow's effect on Day-7 retention.

An Example to Understand Controlled Experiment

If a company wants to test whether a new feature increases user engagement, they might roll out the feature to a small group of users while keeping the rest of the users on the existing version. By comparing the behavior of both groups, they can assess the feature’s impact.

Benefits of Using Controlled Experiment

• Establishes Causality: Controlled experiments help establish clear cause-and-effect relationships between changes and outcomes.
• Reduces Bias: By using a control group, businesses can ensure that the results are not influenced by external factors.
• Data-Driven Insights: The results from controlled experiments provide solid, quantifiable evidence for decision-making.
• Faster Iteration: because you're comparing directly against a control, you can validate or kill an idea in one test cycle instead of guessing from before/after data.

Why is Controlled Experiment Important for Startups and SaaS?

For startups and SaaS businesses, controlled experiments allow for data-driven decisions without relying on assumptions. They help test new features, marketing tactics, or product changes with a high level of confidence. Platforms like Amplitude or Statsig make it easy to run and measure controlled experiments without custom engineering.

Want to run one?

See our step-by-step guide on how to run a controlled experiment — covering hypothesis, sample size, success metrics, and the common mistakes that quietly ruin results.

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FAQs

How Do I Set Up a Controlled Experiment?

Define your hypothesis, create a treatment and control group, and track relevant metrics to measure the effect of the change.

Are Controlled Experiments Always Accurate?

Accuracy depends on proper experiment design, including randomization and avoiding biases.

What's the difference between a controlled experiment and an A/B test?

A/B testing is the most common type of controlled experiment, specifically comparing two versions (A vs B) of one variable.