Hire an AI buyer pricing survey test planner

Everything it can hand back

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

• Two survey questions to send, with the sums to read the answers
• A pricing model with price points and good, better and best tiers
• A price to try, three outcome cases and a floor below which you lose money
• A controlled test with a rule to roll back

How it does the job well

• Reconcile to source documents, such as bank statements, ledgers and invoices, before reporting.
• Show the calculation, inputs and period for every figure.
• Label actuals, estimates and forecasts clearly.
• Send tax, legal and regulatory questions to a qualified professional.

Mistakes it avoids

• Mixing cash and accrual figures, or different periods, in one comparison.
• Rounding or formula errors that do not tie back to totals.
• Giving personal investment advice.

What a good result looks like

An example, not your task: You are about to launch and have no real price evidence.

• Pricing survey. A ladder of seven prices, an open question, a price-ladder question, the sample size and the sums to read answers.
• Price model. The pricing model that fits, the fair price range, price points and good, better and best tiers.
• Price test. A data check, unit costs and cost floor, candidate prices, three outcome cases and a controlled test.
• Roll-back rule. The point at which you undo the test price and return to the old one.
• HAND-BACK SUMMARY. Each step's file, any step not run and why, and every MISSING line in one list.

How the work is checked

• Each step passed its own checks, or the run stopped at the step that failed and says why.
• The steps ran in order, and each one used the result of the one before.
• Nothing was invented to fill a gap. Every gap is a MISSING: line.
• Nothing was sent, published or paid for without a clear yes.
• 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.

A second opinion

Before it hands back, your AI reviews the draft the way Alex Hormozi would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

• Plan the pricing survey. Builds a ladder of seven prices, writes an open question and a price-ladder question, sets the sample size and gives the sums.
• Collect the answers (your step). You send the survey to at least 30 people per price and put the answers in a sheet.
• Design the price model and tiers. Reads the answers, picks a model that fits, finds the range that feels fair and packages good, better and best tiers.
• Pull sales and costs (your step). You export 90 days of sales and your cost for each product, and pick the product to test first.
• Plan a price test you can undo. Checks your data, works out unit costs, models candidate prices and plans a controlled test with a roll-back rule.

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 set-your-price-from-what-buyers-say-then-test-it-safely 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/set-your-price-from-what-buyers-say-then-test-it-safely/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 facts and what it does for buyers
• People you can send a short survey to
• Your last 90 days of sales
• Your cost for each product
• Your rivals' prices (optional)

Functions and deliverables

• Buyer pricing survey test planner: Share product facts and buyer context. Get survey questions, a price-and-tier model after real answers and a reversible price-test plan.
  • Two survey questions to send, with the sums to read the answers
  • A pricing model with price points and good, better and best tiers
  • A price to try, three outcome cases and a floor below which you lose money
  • A controlled test with a rule to roll back
• Price survey planner: Plan two price surveys and a test. See how answers become a profit estimate; no price call without enough replies.
  • A price ladder of seven prices in equal steps
  • Word-for-word text for both surveys
  • A sample size plan and a test checklist
  • Steps to clean and correct the answers
  • A profit-maximizing price, with close ties flagged
  Source: Checkout Page.
• Pricing model designer: Share your product and price survey data. Get a pricing model, price points and good, better, best tiers.
  • Recommended pricing model
  • Price range from survey data
  • Good, better, best tier layout
  • List of packaging problems found
  Source: Alireza Rezvani.
• Price test planner: Share costs, sales history and price options. Compare contribution, test demand cases and plan a reversible price test.
  • Recommended price to test
  • Base, low and high cases
  • Test design with guardrails
  • Rollback plan
  Source: Nexscope AI.
• me.md builder: Answer a few questions, or let your AI use what it remembers. Get one private file that tells any AI who you are.
  • One me.md file with up to ten dated sections
  • A list of facts taken from memory, for you to check
  • A short note of what it removed for privacy
  • The two next steps, to save it and set it up
• Alex Hormozi: Improve an offer, price or lead plan using Alex Hormozi’s recorded frameworks. Check buyer needs, costs and honest promises before adding more leads.
  • Your problem worked on the way Alex Hormozi would: their questions, their method, their push-back
  • The answer or the work, in Alex Hormozi's voice, using their ideas by name
  • Anything that goes beyond their public record, marked
  • One suggested next step

Tasks you can use it for

• You are about to launch and have no real price evidence.
• You suspect you charge too little but fear losing sales.
• You want tiers, not one flat price.

Limits to check before starting

• You have no buyers to survey yet: run a simple market check by hand first, or ask a few people you know to talk through what they would pay.
• You cannot change the price of the product, such as a fixed contract or set fee: skip the test and use only the survey to guide your next offer.
• You want ad copy or an offer, not a price: use a copywriting step instead, then come back to set the price.

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 handoff pack. It's a zip with HANDOFF.md and three skill files, in the order they run: Price survey planner, Pricing model designer and Price test planner.
• Give the folder to Claude (in Claude Code, or as files in a Claude Project) and say "Follow HANDOFF.md".
• At the first pause, send the survey and collect at least 30 answers per price. Fewer will mislead you.
• At the second pause, export 90 days of sales and your cost for each product.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/set-your-price-from-what-buyers-say-then-test-it-safely 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.