Growth Research method

Growth Experiment

Tests a prioritized growth assumption with a small measurable intervention and shows whether the next step is justified.

A Growth Experiment tests a prioritized growth assumption with a small, measurable intervention. Comparing expectations with results supports the decision to test again, scale, or discard the idea.

Core question

Which uncertain growth assumption will we test, and what result changes our next decision?

Prepare plan Method guide

Start comparison

Give feedbackIs this method useful to you?

Participants: 1-6
Time: 1-2 Wochen

Phases may be revisited; their order supports the work but does not replace domain judgment.

Growth Experiment workspace showing the question, observations, and next decision.

Assumption
Select a growth assumption
Name bottleneck, audience, mechanism, and existing evidence.
Hypothesis
Form a learning hypothesis
Specify intervention, expected behavior, signal, and possible harm.
Test
Run a bounded test
Predefine scope, safeguards, duration, and instrumentation; run the smallest useful test.
Learning
Turn learning into a decision
Compare results with expectation and choose follow-up test, scale, or stop.

Review the result and open assumptions at the next suitable checkpoint. Record changes, ownership, and new evidence.

A good fit when

Use when: One prioritized, testable assumption and an intervention whose signal can be attributed to the goal.

Ideal for

Growth backlogs
Campaign tests
Activation ideas

Not good for

Unmeasurable initiatives
Brand work without learning goals

Outputs

Working picture
Named bottleneck, audience, mechanism, and existing evidence.
Testable evidence
Predefined scope, safeguards, duration, and instrumentation for the smallest useful test.
Next step
The review compares results with expectations and explains the decision to test again, scale, or discard the idea.

Assumption, bounded test, and learning decision

Fictional worked example

Test a prioritized growth assumption with a small measurable intervention and learn whether the next step is justified.

Assumption

Name bottleneck, goal, and uncertain assumption.

A sample lesson before sign-up makes the first course clearer.

Intervention

Describe intervention, mechanism, and measurable behavior change.

Landing page shows one lesson; a random 50% of visits see it.

Signal

Record duration, audience, measurement, and harm mitigation.

Completion of lesson one within 7 days; support requests as guardrail.

Learning

Record observed signal, uncertainty, and follow-up decision.

More starts, no clear rise in completed lessons; cause unresolved.

Fictional learning platform: assumption that a sample lesson increases activation. Intervention: show a sample lesson before sign-up. Success measure: share of new landing-page visitors completing lesson one within 7 days. Guardrail: support requests. A bounded four-week test shows more starts but no clear change in completions; next step: interview about the barrier, no broad rollout.

Configuring Experiments · Statsig Docs

First step

Start with a bounded question, clarify access and participants, and collect available evidence. Test a prioritized growth assumption with a small measurable intervention and learn whether the next step is justified.

Open the method guide

Good to do first

Growth

Pirate Metrics AARRR

Supplies the bottleneck and evidence from the funnel as the starting point.

Growth

Funnel Analysis

Supplies the prioritized investigation question as the basis for the experiment.

Where to go next?

Growth

A/B Testing

Scales a confirmed learning up into a controlled A/B test.

Growth

North Star Metric

Checks the effect of the confirmed learning on the guiding metric.

Deep dive

Purpose

When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.

How it works

A growth assumption is translated into a testable intervention with a clear success curve. This turns a loose idea into a learning process with visible effect and limited risk. The method treats growth as a consequence of validation, not hope.

In detail

A Growth Experiment makes growth ideas small enough to be checked quickly and honestly. Before starting, channel, target group, change, and measurement signal must be sharp enough that success or failure becomes legible. The difference from campaign activism is that even a negative result produces usable learning and makes the next bet more precise.

Facilitation

Before starting, define target group, channel, intervention, and expected signal concretely enough that the experiment answers a real learning question. The payoff rises noticeably once the group cleanly separates reach, activation, and retention. End the experiment with a keep, kill, or iterate decision and a short finding about the underlying assumption.

The method guide walks execution through 4 phases, timing, 4 pitfalls, and clear stop criteria.

Open method guide

Your perspective

Does this method help with your work?

Your feedback helps shape the next improvements to methodatlas.

Sources and topics

Topics

Marketing Growth Experiments Learning

Sources

Configuring Experiments · Statsig Docsdocs.statsig.comMethod reference reviewed to support the scope and workflow of Growth Experiment. Examples and editorial guidance are original and explicitly fictional.

In playbooks

Set Up a Growth Experiment LoopMove from a funnel problem to hypothesis, experiment, measurement, and next growth decision.

Artifact templates

Experiment PlanShort plan for hypothesis, test design, success criteria, and decision.

markdown

experiment-plan-markdown.md

Short plan for hypothesis, test design, success criteria, and decision.

Experiment Plan

Hypothesis

We believe that ...

Target audience

Who are we testing for?

Test design

What exactly will participants or users do?

Success criterion

We count the test as positive if ...

Risks and limits

What can the test not prove?

Decision afterward

If positive: ... If negative: ...

Owner and date

...

Growth Experiment: WorksheetPrepare Growth Experiment with a clear question, roles, and sources.

markdown

growth-experiment-working-template.md

Prepare Growth Experiment with a clear question, roles, and sources.

Growth Experiment: Worksheet

Question

To be confirmed

Desired outcome

To be confirmed

Scope

Plan the full method Time: Set according to scope and available evidence

Complete this worksheet on paper or in your own document during the work.

Preparation for this scope

Method setup

Materials: Shared workspace, accessible sources, and a decision log.
Roles: Growth owner · domain perspective · analytics · decision maker
Advance information: Clarify the question, timeframe, data access, roles, and known uncertainties in advance.
Overall time needed: Preparation and run time depend on signal, traffic, and risk; review after the defined test window.
Setup: Create a shared version. Label facts, assumptions, and decisions separately.

Prepare for the work steps

Assumption: Select a growth assumption

Growth goal, bottleneck, and evidence

Hypothesis: Form a learning hypothesis

Risky assumption and desired behavior

Test: Run a bounded test

Smallest useful intervention and safeguards

Learning: Turn learning into a decision

Outcome, uncertainty, and alternatives