Overview – ConversionLab Docs

Start here

Your first workflow

Follow one example from a research observation to a documented experiment.

Understand your results

Read variant effects, check traffic, and decide what the evidence supports.

Build a feedback survey

Turn a question into a survey and collect feedback from your visitors.

Explore ConversionLab

Getting started

Set up your account, prepare your team, and find your way around.

Core concepts

Understand how the work fits together, from projects to metrics.

Research

Capture observations, develop insights, and preserve useful learning.

Ideas and prioritization

Build an evidence-backed backlog and choose what to work on next.

Experiments and results

Plan tests, manage variations, and review the outcome in context.

Surveys

Create, publish, and review feedback surveys on your website.

Integrations and imports

Connect your testing and research tools, or bring existing work with you.

Team administration

Manage people, roles, plans, credentials, and your team's vocabulary.

AI-assisted experiences

Work with the Agent, daily briefs, and audits, with your team in control.

Connect an external AI client

Use MCP to give a compatible AI client scoped access to your ConversionLab work.

Developers

Build with ConversionLab

Connect your own systems to project data and reporting with the REST API.

REST API reference

Find supported endpoints, request fields, response schemas, and examples.

Help

Troubleshoot a problem

Work through access issues, missing data, surveys, and report warnings.

Use documentation in external AI tools

Copy an article, read its Markdown, or use the public documentation in an AI tool.

Examples and screenshots use fictional teams and data. Available features depend on your role, your team's plan, and optional experiences. See roles and access if an action is missing.