Hire an AI growth experiment planner

Everything it can hand back

Your task sets the actual outputs. The specialist picks the methods that cover them.

• Your funnel laid out, with the weakest step marked
• Three experiments, each with a hypothesis, the one change, the metric and the baseline
• A sample size and a decision date for each test
• A referral or sharing idea, if it fits your product
• A list of measurement checks to pass before you trust any result

How it does the job well

• Write for one named audience and one action. Each asset has a single job.
• Use the customer's own words from reviews, calls or surveys before inventing language.
• Every claim needs proof the business can show. Leave unproven claims out or mark them.
• Judge results against the business goal, such as profit or qualified leads, not clicks alone.

Mistakes it avoids

• Generic copy that could fit any brand.
• Comparing periods or campaigns that are not comparable, such as different dates, budgets or tracking.
• Calling a test winner before there is enough data.

What a good result looks like

An example, not your task: Sign-ups or sales are flat and you don't know which step to work on.

• Funnel. Each step with its number, the drop from the step before and the weakest step marked.
• Experiments. Three tests, each with a hypothesis, one change, a metric, a baseline, a sample and a decision date.
• Sharing idea. A referral or sharing loop that fits your product, with the one number to watch.
• Measurement checks. What must be true before you trust a result, with pass or fail for each.
• Assumptions and missing. What the AI guessed or could not see, so you can fill the gaps.

How the work is checked

• Every claim traces to the brand brain or supplied evidence.
• Each recommendation states the expected effect, the cost and how it will be measured.
• Copy fits the platform's length limits and the brand voice.
• States which checks passed, failed or could not run, and names missing inputs.

These checks have not been run against a model yet. Your AI uses them to check its own work.

Capabilities

• Confirm the funnel. It confirms the product, buyer, goal, time and the numbers for each step. Missing items are asked for once, then marked MISSING.
• Find the weakest step. It compares step to step. It names the biggest drop and says if there is too little data to tell.
• Write hypotheses. It writes three, each as: if we change this, this metric moves, because of this reason.
• Design each test. It sets one change, one metric, your own baseline, a sample and a decision date.
• Add a sharing idea. If it fits, it adds a referral or sharing loop, with the one number to watch.
• Check the measuring. It lists what must be true before you trust the result: tracking works, enough sample, one change at a time.

How the role works

1. Checks your task, context and available tools.
2. Picks the methods needed and prepares a work plan.
3. Carries out supported tasks, with each method's limits and review gates.
4. Checks the real deliverables and corrects supported faults.
5. Hands back files, evidence and unresolved gaps.

Your specialist's working setup

Download the base specialist without a task form or account. README.md and SETUP.md explain how to use the folder. SOUL.md defines its scope. INTAKE.md asks missing questions inside your AI. PLAYBOOK.md, SKILLS.md, BEST_PRACTICES.md, CHECKS.md and HANDOFF.md guide the work and its checked deliverables.

Complete associated skills, supporting files and licences are included. Choose only the methods needed for the actual task. Keep context, working files and accepted feedback in your AI project.

Use this specialist through MCP or the API

Call prepare_specialist with role_id marketing-growth-hacker only. No task is required to load it. Your AI asks what job you need done, what you want back and which relevant context it can use.

For task-led hiring, call find_specialist, explain the suggested specialists and let the user accept or change the team.

Complete ZIP: Download base specialist. API: GET /api/v1/specialists/marketing-growth-hacker/pack. The host AI supplies its own model, tools and execution; a pack does not connect accounts or run a task.

Inputs and helpful context

The specialist starts from the task brief. Only active methods require their inputs.

For the primary method, when used

• Your product and who you sell to
• Your funnel steps with numbers for one recent period, such as visits, sign-ups, buyers and repeat buyers
• Your goal and the time you have
• What you have already tried (optional)
• Your cost per customer and what a customer is worth (optional)

Helpful context (optional)

• A table of funnel numbers by week for the last two months.
• Your cost to win a customer and what a customer is worth.
• A list of past tests and their results.

Tools and access

• Claude, ChatGPT or Gemini with file upload: You can attach an export of your funnel numbers and it reads the columns.

Functions and deliverables

• Growth experiment planner: Get a growth experiment plan: your weakest funnel step, three tests with the metric to watch and how to read the results. Bring your funnel numbers.
  • Your funnel laid out, with the weakest step marked
  • Three experiments, each with a hypothesis, the one change, the metric and the baseline
  • A sample size and a decision date for each test
  • A referral or sharing idea, if it fits your product
  • A list of measurement checks to pass before you trust any result
  Source: Michael Sitarzewski and Agency Agents contributors.
• Product experiment designer: Plan an A/B test you can trust. Give it your idea and baseline rate. You get a hypothesis, sample size, stopping rules and a way to read the result.
  • A written hypothesis
  • Primary and guardrail metrics
  • A sample size and test duration
  • ICE ranking of test ideas
  • A plain reading of the result
  Source: Alireza Rezvani.
• Bold store experiment planner: Share store traffic, orders and page findings. Get ranked ideas for bigger tests, with metrics, risks and sample-size checks to complete.
  • Five bold tests in order, each with the reason, main metric, guardrails and risk
  • What not to test at your size
  • A month-by-month plan
  • A reminder to size each test before you run it
• Content growth experiment planner: Share your product link. Test one article, tutorial or research brief before planning a publishing calendar.
  • A recommendation with its evidence and missing facts
  • A small test with an owner, cost cap and decision rule
  • The next action and what needs approval
• Brand profile builder: Share your website. Get a reusable profile covering your products, customers, voice and approved claims, with sources.
  • A folder of eight plain files, from a start file for your AI to a claims list and a change log
  • A tag on every fact, and every claim marked approved, pending or banned
  • A two-sentence diagnosis of your biggest gap, and a list of what's missing and who can answer it
  • A short slice for your next step, if you name one

Tasks you can use it for

• Sign-ups or sales are flat and you don't know which step to work on.
• You have ideas and need them turned into tests with a clear pass or fail.
• You want to try a referral or sharing loop and need to plan it.
• You need a few experiments to run in the next few weeks with a small team.

Limits to check before starting

• You want one change tested with care. Use the One-change experiment planner.
• You only want to find the weakest step in your funnel. Use the Growth bottleneck finder.
• You have finished an experiment and want to read the result. Use the Customer acquisition experiment reviewer.

Best way to use this role

Give it one clear outcome, the actual files and a definition of done. Keep the work in one AI project so it can reuse checked context and earlier files.

• Download the pack from this page and add it to your AI as a skill. If you can't, paste SKILL.md, then references/source-agent.md, into a new chat. Claude, ChatGPT and Gemini all work.
• Paste your product, buyer and goal. List each funnel step with its numbers for one recent period.
• Add what you've tried before, and your cost per customer and customer value if you know them.
• Say: "Find my weakest funnel step and write three experiments. Don't invent numbers. Mark missing data."
• Check the funnel first. If a number is wrong, fix it before you pick tests.
• Run one test at a time. When it ends, bring the numbers back and ask for the next round, or use the Traction experiment result reviewer.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/marketing-growth-hacker for its role instructions and pinned sources.

This is a prepared AI role. No task has run. Your AI carries out authorized work using its available tools and reports the actual deliverables and checks.