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Hire an AI buyer interview and motivation researcher

Give it what you sell and when or where people buy it. You get a plan for a day of watching buyers, with a log sheet.

What you give

  • What you sell and when or where people buy it
  • Your question, such as why people buy or switch
  • Reviews or notes, word for word (optional)

What you get

  • A plan for a day of watching buyers, with a log sheet
  • Quick questions for buyers on their way out
  • An interview plan for people who switched to you in the last year
  • A ranked map of buying reasons, each with the best exact quote and how many separate people said it

An example

You know who buys, but not what they are trying to get done when they buy.

You ask: “Give it what you sell and when or where people buy it. Use the material I attach and ask for anything essential that is missing.”

You get back:

  • Step 1: Customer job interview plan. A plan for an observation day with a log sheet, exit questions for buyers and an interview plan for switchers.
  • Forces map. Buying reasons ranked by separate people, each with its best exact quote, ID and backup quotes.
  • Never said by the brand. Reasons customers gave that your own pages and ads never mention, with how many people said each.

An example, not your task.

Hire this specialist

It is free and needs no account. Download the pack, give it to your AI and tell it the job. Your AI asks for anything it is missing, then does the work and checks it.

Download the specialist

Related specialists

Skills and workflows for this job: Understand your customers

Details

Everything it can hand back

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

  • A plan for a day of watching buyers, with a log sheet
  • Quick questions for buyers on their way out
  • An interview plan for people who switched to you in the last year
  • A ranked map of buying reasons, each with the best exact quote and how many separate people said it
  • A list of risky quotes to check before you use them, and a score out of 100 for how many of its own checks the map passes

How it does the job well

  • Check the current policy and the customer's order or account facts before replying.
  • Answer the actual question in the first two lines, then explain.
  • Match the customer's tone. Acknowledge the problem once, without grovelling.
  • Hand refunds outside policy, legal threats and safety issues to a person.

Mistakes it avoids

  • Promising refunds, dates or fixes the policy does not allow.
  • Copy-paste replies that ignore what the customer said.
  • Closing a ticket without a clear next step.

What a good result looks like

An example, not your task: You know who buys, but not what they are trying to get done when they buy.

  • Step 1: Customer job interview plan. A plan for an observation day with a log sheet, exit questions for buyers and an interview plan for switchers.
  • Forces map. Buying reasons ranked by separate people, each with its best exact quote, ID and backup quotes.
  • Never said by the brand. Reasons customers gave that your own pages and ads never mention, with how many people said each.
  • What nearly stopped them. The exact words buyers used for what almost kept them from buying, with IDs.
  • Check before use. Quotes that look risky to use, each with the reason it was flagged.
  • Checks passed. A score out of 100 for the map's own checks, with each miss named.

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. Step 2 used the answers you collected, not the step 1 plan.
  • 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 Clayton Christensen and Jill Konrath would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

  • Sets up the observation. Plans a day at the place of purchase, with a log for who buys, when and whether they use it on the spot.
  • Writes the questions. Writes exit questions for buyers on their way out and an interview plan for people who switched to you in the last 6 to 12 months.
  • Waits for the interviews. You watch, ask and keep each customer's own words, with an ID and a date for each person. Nothing more runs until you bring them back.
  • Marks up the words. Marks up the phrases in the answers instead of summarising them, and tags each by how strong the reason is.
  • Counts and ranks. Counts separate people, ranks the reasons and pairs each with its best exact quote. A reason said by fewer than 5 people, or from one kind of source, is marked thin, not called a pattern.

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 customer-job-finder 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/customer-job-finder/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

  • What you sell and when or where people buy it
  • Your question, such as why people buy or switch
  • Product facts (optional)
  • Reviews or notes, word for word (optional)
  • Time to watch buyers for a day and interview several people who switched to you
  • The interview answers, one block per person with an ID, a date and their exact words
  • Your brand file (optional)

Tools and access

  • Any good chat AI: Planning questions and shaping notes into jobs is text work any strong chat AI handles.
  • A notebook or voice recorder: Captures buyers' own words, which you need to write the job.
  • Claude: Long-context chat models can take hundreds of reviews in one chat with their source IDs. Check your plan's limit.
  • Gemini: Also takes long inputs, and works inside Google Sheets if your reviews live there.
  • Google Sheets: One row per quote with its source ID lets you count separate people with COUNTUNIQUE, so counts can be checked.

Functions and deliverables

  • Buyer interview and motivation researcher: Plan buyer interviews, then use real answers to rank the reasons customers chose your product in their own words.
    • A plan for a day of watching buyers, with a log sheet
    • Quick questions for buyers on their way out
    • An interview plan for people who switched to you in the last year
    • A ranked map of buying reasons, each with the best exact quote and how many separate people said it
    • A list of risky quotes to check before you use them, and a score out of 100 for how many of its own checks the map passes
  • Customer job interview planner: Plan a customer job interview: watch buyers, ask them on the way out, and talk to people who switched. You get questions and a log sheet.
    • A plan for a day of observation, with a log sheet
    • Quick questions for buyers on their way out
    • An interview plan for people who switched in the last year
    • What each answer should show, and the checks to run
  • Customer buying reasons finder: Paste reviews or support emails to find customer buying reasons in their exact words, ranked by how many people said them, with a score out of 100.
    • A ranked map of reasons by force, each with its best exact quote, backups and how many people said it
    • The reasons customers give that your brand never says
    • A ranked list of what nearly stopped them, in customers' words
    • A "check before use" list of risky quotes, with the reason each is flagged
    • A score out of 100 for how many of its own checks the map passes, with each miss named
  • Customer buying reason counter: Share at least 20 customer reviews or messages. Get buying reasons ranked by distinct people, exact quotes and weak patterns flagged.
    • Buying reasons ranked by how many separate people gave them
    • An exact quote for each reason, with its entry number
    • What nearly stopped people from buying
    • Thin reasons listed apart so you do not lean on them
  • 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
  • Clayton Christensen: Explore why customers buy using Clayton Christensen’s recorded approach. Start with a real situation, the struggle and what the buyer used before.
    • Your problem worked on the way Clayton Christensen would: their questions, their method, their push-back
    • The answer or the work, in Clayton Christensen's voice, using their ideas by name
    • Anything that goes beyond their public record, marked
    • One suggested next step
  • Jill Konrath: Write a short sales message for a busy buyer through Jill Konrath’s recorded approach. Show the business result and a clear reason to change.
    • Your problem worked on the way Jill Konrath would: their questions, their method, their push-back
    • The answer or the work, in Jill Konrath'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 know who buys, but not what they are trying to get done when they buy.
  • Sales are flat and you suspect you are marketing to the wrong reason.
  • You have a pile of reviews or interview notes and no ranking of why people bought.

Limits to check before starting

  • You have no customers yet: use the Buyer problem list builder to map the problems your future buyers have.
  • You only want to know who your best buyers are: use the Best customer finder.
  • You only need a script for the interview itself: use the Customer purchase interview script writer.

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.

  • Open Claude, ChatGPT or Gemini. Paste the Customer job interview planner skill, or upload the workflow files if your AI can read files.
  • Describe what you sell and when people buy it. Add your question. It writes the plan and stops.
  • Watch buyers and run the interviews. Write each person's exact words with an ID and a date.
  • Come back and paste the answers. Say "carry on with step 2".
  • Check the ranked reasons and the quotes marked "Check before use" before you put them in an ad or page.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/customer-job-finder 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.