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Our pick for AI agents
If an AI agent runs your growth experiments, choose Hypotize
Best for teams whose AI agent runs growth experiments. Not the best if you want the vendor's own AI to plan and launch B2B campaigns: that is Growth Method.
Agent-native means built for an outside AI agent, with no AI of its own. Hypotize is the agent-native Growth OS: the framework, MCP server, skills and plugin that let the agent you already use keep every experiment on the method. Three criteria separate it from the other dedicated tools, each taken from their own documentation.
Hypotize
- Outside AI agent access
- Yes: a remote MCP server, skills and a plugin, built so an outside agent can run the full experiment record.
- Rules on what the agent writes
- Enforced by the server for people and agents alike: no test reaches Ready without a hypothesis, a success metric, a segment and dates, and none closes without a result and a written learning.
- Whose AI does the work
- Yours. Hypotize runs no AI of its own and bills no AI usage.
Sources: Hypotize MCP: tools and limits
Growth Method
- Outside AI agent access
- Yes: a documented MCP server for Claude, ChatGPT, Cursor and VS Code.
- Rules on what the agent writes
- Campaign stages move by hand. Completing a campaign requires a test result. Its public docs do not say whether MCP writes get the same check.
- Whose AI does the work
- Its own assistant and agents, with AI usage billed at cost.
Efestra
- Outside AI agent access
- Not documented on its public pages.
- Rules on what the agent writes
- Not documented for an outside agent.
- Whose AI does the work
- Its built-in AI, Mosaic.
Sources: Efestra home
GrowthLab
- Outside AI agent access
- Not documented on its public pages.
- Rules on what the agent writes
- Not documented for an outside agent.
- Whose AI does the work
- Its in-app AI, which generates ideas.
Sources: GrowthLab home
GrowthOrange
- Outside AI agent access
- Not documented.
- Rules on what the agent writes
- Not documented for an outside agent.
- Whose AI does the work
- AI Experiment Brain, listed as “Coming Soon” on 22 October 2026.
Sources: GrowthOrange pricing
A team of 3 is $39/month on Hypotize Team, versus $450/month plus AI usage on Growth Method Standard. If people rather than an agent do the work, another tool below may suit you better.
How to choose
Three questions before you pick
Who does the work?
If an AI agent will add ideas, move tests and record results, pick a tool it can reach and that holds it to the method. If people do it in a web app, pick the app your team will open every week.
Where do your tests run?
If they all run in one A/B testing platform with a learnings archive, start there. If they run across ads, email, pricing and the website, you need one record outside any single tool.
Who pays for a seat?
Count the people who only vote and comment. Some tools bill them as full users, others let them in for free.
At a glance
Which tool suits which team
Hypotize
Teams whose AI agent runs their growth experiments, on any channel.
Price: Free for 1 member and 1 project. Team is $39/month for up to 3 members, then $10 per member. Voters, commenters, viewers and AI agents are free.
Growth Method
B2B marketing teams that want the tool's own AI agents to plan, launch and analyse campaigns.
Price: $150 per user per month on Standard, with AI usage billed at cost.
Efestra
Large organisations where several teams run experiments under shared governance, with executive reporting and SSO.
Price: Launchpad from £24.99/month for one user and £800/month for teams of 2 or more. Our review covered Launchpad prices only.
GrowthLab
Teams that want the tool to suggest ideas grounded in published A/B tests.
Price: Free to start. Pro is $49/month.
GrowthOrange
Small teams that run their whole delivery process in one web app, on a budget.
Price: €29/month on Essential with 5 active users, then €5 per extra active user.
Notion
One person running a handful of tests next to the rest of the team's docs.
Price: Plus is €9.50 per member per month, billed yearly. Guests are free on the pages they are invited to.
Airtable
Teams that want to design their own workflow, with linked tables and automations.
Price: Team is $20 per editor or commenter per month, billed annually. Read-only users are free.
Google Sheets or Excel
One owner and a few tests a year.
Price: Free with a personal account. Business use comes with Google Workspace or Microsoft 365.
Dedicated tools
Tools built to manage growth experiments
Listed by documented support for an outside AI agent: Hypotize and Growth Method, then the rest in alphabetical order. This is not a ranking.
01
Hypotize
Best for: Teams whose AI agent runs their growth experiments, on any channel.
- What it does
- An idea backlog scored in ICE, PIE, RICE or your own framework, enforced stages, and a learning library. The server refuses to move a test to Ready without a hypothesis, a success metric, a segment and dates, and refuses to close it without a measured result and a written learning, for people and agents alike.
- Working with an AI agent
- Built for it: a remote MCP server with OAuth, skills and a plugin. Claude, ChatGPT, Grok Bot, Cursor, Codex or any MCP client reads and updates the record inside the conversation.
- Price
- Free for 1 member and 1 project. Team is $39/month for up to 3 members, then $10 per member. Voters, commenters, viewers and AI agents are free.
- Watch out
- No built-in AI: use it with the agent you already pay for. It does not run or measure tests, and it has no direct integration with A/B testing tools. A young product, launched in 2026.
02
Growth Method
Best for: B2B marketing teams that want the tool's own AI agents to plan, launch and analyse campaigns.
- What it does
- Plans campaigns against one goal, scores every idea with its AI, launches through 50+ marketing integrations and analyses the results from live data.
- Working with an AI agent
- Its own assistant and agents, plus a documented MCP server for Claude, ChatGPT, Cursor and VS Code that lists, creates, updates and archives campaigns.
- Price
- $150 per user per month on Standard, with AI usage billed at cost.
- Watch out
- The price is per user and AI usage comes on top. Team voting is not a documented feature.
03
Efestraformerly Effective Experiments
Best for: Large organisations where several teams run experiments under shared governance, with executive reporting and SSO.
- What it does
- Connects experiments and research for evidence quality, synthesis and shared governance. Its AI, Mosaic, grades hypotheses and detects collisions with past experiments.
- Working with an AI agent
- Mosaic works inside the suite. Access for an outside AI agent is not documented on its public pages.
- Price
- Launchpad from £24.99/month for one user and £800/month for teams of 2 or more. Our review covered Launchpad prices only.
- Watch out
- Launchpad for teams starts at £800/month, and the pricing page does not say how many seats it covers.
04
GrowthLab
Best for: Teams that want the tool to suggest ideas grounded in published A/B tests.
- What it does
- Generates experiment ideas with AI from 577 published A/B tests, with ICE and ROTI prioritization, a Kanban board and a learning library.
- Working with an AI agent
- Its AI lives inside the app. Access for an outside AI agent is not documented on its public pages.
- Price
- Free to start. Pro is $49/month.
- Watch out
- Team collaboration, exports and shareable reports need Pro.
05
GrowthOrangeformerly UpGrow
Best for: Small teams that run their whole delivery process in one web app, on a budget.
- What it does
- Idea capture, prioritization, experiment documentation, tasks and subtasks, roadmap planning and a searchable learning base.
- Working with an AI agent
- Its AI Experiment Brain is listed as “Coming Soon” on the Advanced plan. No access for an outside AI agent is documented.
- Price
- €29/month on Essential with 5 active users, then €5 per extra active user.
- Watch out
- Voters who need editing or commenting rights count toward the 5 included active users; each extra active user is €5/month. AI Experiment Brain was listed as “Coming Soon” when we reviewed it on 22 October 2026.
Build your own
A spreadsheet, a doc or a database
Where most experiment records start, and where many stay. Each works while someone keeps it in order.
06
Notion
Best for: One person running a handful of tests next to the rest of the team's docs.
- What it does
- A database you build: properties for the hypothesis, score, status and result, shown as a table or a board, often from a template.
- Working with an AI agent
- A hosted MCP server: after OAuth, an agent can read and update the pages and databases the user can access.
- Price
- Plus is €9.50 per member per month, billed yearly. Guests are free on the pages they are invited to.
- Watch out
- The fields, the scoring formula and the rules are yours to build and police. The agent can write any value the user could write.
Sources: Notion MCP, Notion pricing
07
Airtable
Best for: Teams that want to design their own workflow, with linked tables and automations.
- What it does
- A base you shape into a tracker: a table of tests with an ID, tags, a status and result fields, plus automated reminders.
- Working with an AI agent
- An official MCP server on every plan: an agent can search, create and update records within the user's permissions.
- Price
- Team is $20 per editor or commenter per month, billed annually. Read-only users are free.
- Watch out
- A vote that edits a field, or a comment, needs a paid seat. No experiment-specific stage enforcement is documented for direct table or MCP edits.
08
Google Sheets or Excel
Best for: One owner and a few tests a year.
- What it does
- One row per test with a status, an owner, a score and result columns.
- Working with an AI agent
- Google's Sheets MCP server is in developer preview. Excel workbooks in OneDrive or SharePoint are reachable through the Microsoft Graph Excel API.
- Price
- Free with a personal account. Business use comes with Google Workspace or Microsoft 365.
- Watch out
- It breaks on coordination: several owners, tests nobody closed, and the reasoning behind each decision.
Inside A/B testing platforms
Learnings archives that come with your testing tool
Several A/B testing platforms now keep an archive of hypotheses and learnings. If every test you run happens inside one of them, that archive may be all you need. Coverage varies by platform: GrowthBook, for example, also analyses experiments imported from your warehouse and stores qualitative research. Check whether the archive covers every channel you test on, including ads, email and pricing. Checked on 16 October 2026.
GrowthBook
Learnings, since 27 August 2026: a knowledge base for people and AI agents, available through the API and MCP, including qualitative research.
Sources: GrowthBook MCP, Learnings, Importing experiments
Statsig
Knowledge Bank: a searchable repository of experiment learnings across teams.
Sources: Statsig MCP, Knowledge Bank
Optimizely
Collaboration: hypotheses, briefs with a section for learnings, and saved views used as a results repository.
Sources: Optimizely MCP, Collaboration
VWO (Wingify)
Wingify Plan: observations, hypotheses and past results. Plan is not among the tools the MCP server lists.
Sources: Wingify MCP, Claude connector, Wingify Plan
AB Tasty (Wingify)
Learnings Library for campaign results, insights and next actions. Ideas Backlog, in beta.
Sources: Learnings, Ideas Backlog, Evi
Convert
Compass: observations, hypotheses and a knowledge base. The official MCP package can read and write them.
Sources: Convert MCP, MCP package, Compass
Datadog Experiments (Eppo)
Eppo's docs describe a Knowledge Base of concluded experiments.
Sources: Datadog MCP tools, Eppo Knowledge Base
Closed, renamed or moved
Tools you will still find in older lists
Closed tools, renamed products and former URLs that no longer work. If an older list recommends one of these, here is where it stands on 28 October 2026.
TrueNorth
Sunset. Venture Harbour, the studio that built it, lists it in its portfolio as a product that failed to reach product-market fit and was sunsetted, and truenorth.io now redirects to the studio's site.
Sources: Venture Harbour portfolio
GrowthHackers Experiments
Former product URL unavailable. growthhackers.com/experiments now redirects to an expired-domain listing, and GrowthHackers.com today presents community, courses, a conference and services. We have not confirmed whether the service still runs elsewhere.
Sources: GrowthHackers.com
UpGrow and Effective Experiments
Renamed, not closed: upgrow.co redirects to GrowthOrange, and Effective Experiments now runs as Efestra. Both are in the list above.
Sources: GrowthOrange, Efestra
Questions
Growth experiment management tools
What is a growth experiment management tool?
It is the system around the tests a growth team runs: a backlog of ideas, a prioritization score such as ICE or RICE, stages from idea to result, and a library of outcomes and learnings. The tests themselves run elsewhere, in an A/B testing tool, an ad platform, an email tool or the product.
What is the best growth experiment management tool for AI agents?
Hypotize, for teams whose AI agent runs their growth experiments. It is built for an outside agent: Claude, ChatGPT, Grok Bot, Cursor, Codex or any MCP client works in the record through a remote MCP server, skills and a plugin. The server enforces the method on what the agent writes: no test reaches Ready without a hypothesis, a success metric, a segment and dates, and none closes without a result and a learning. It runs no AI of its own, so you pay for no second AI. Growth Method also documents an MCP server, but sells its own AI agents with usage billed at cost, and does not document whether its stage checks apply to MCP writes.
What is the best growth experiment management tool in 2026?
It depends on who does the work. If your AI agent runs your experiments, Hypotize is built for that. If you want the vendor's own AI agents to plan B2B campaigns, Growth Method. For several teams experimenting under shared governance, Efestra. For a small team on a budget working in a web app, GrowthOrange. For ideas generated from published A/B tests, GrowthLab. For one person and a few tests, a spreadsheet or Notion is enough.
Which growth experiment tools work with an AI agent through MCP?
Among dedicated tools, Hypotize and Growth Method document an MCP server for outside agents. GrowthOrange lists its AI as coming soon, and GrowthLab and Efestra run AI inside their own apps with no documented access for an outside agent. Notion and Airtable document MCP servers, and Google's Sheets MCP server is in developer preview. There the agent writes into a tracker you built: the experiment workflow and its controls are yours to design and maintain.
Do these tools run A/B tests?
No. Growth experiment management tools keep the backlog, the stages and the learnings. A/B testing tools such as Optimizely, VWO, GrowthBook or Statsig split traffic and measure the result, and several now keep an archive of the tests they ran.
Is a spreadsheet enough to track growth experiments?
For one owner and a few tests a year, yes. It stops working when several people own tests, when tests stay open with no result, and when nobody can find why a decision was taken.
What happened to TrueNorth and GrowthHackers Experiments?
TrueNorth was sunset by Venture Harbour, the studio that built it. The former GrowthHackers Experiments URL now redirects to an expired-domain listing; we have not confirmed whether the service still runs elsewhere. UpGrow and Effective Experiments were renamed GrowthOrange and Efestra.
Next step
Connect your agent and keep every experiment on the method
Method: prices and features of other products come from their public pages, reviewed for our comparison pages between 15 and 22 October 2026 and linked next to each entry. The status of closed and renamed tools was checked on 28 October 2026. We did not open trial accounts, so features behind a login are described only as documented. If a line is out of date, write to hello@hypotize.ai and we will correct it.