Hire an AI buyer switching interview planner
Share your product, buyers and interview access. Get an interview guide, maps of real buying stories and changes to test against switching barriers.
What you give
- What you sell and the kind of purchase you want to understand
- A list of people who bought in the last few months
- Your interview notes, for the second half
What you get
- A guide to a timeline interview, with probes and the questions to avoid
- Each buyer's story in six lines, tied to the notes
- The four forces for each buyer and what each one fired
- Clusters of matching stories with counts, and the surprises that do not fit
An example
Many people look at your product and never switch.
You ask: “Share your product, buyers and interview access. Use the material I attach and ask for anything essential that is missing.”
You get back:
- Interview guide. A timeline interview plan with seven stops, probes, questions to avoid and how to record exact words.
- Stories. Each buyer's story in six lines, each line tied to your notes.
- Forces. Push, pull, habit and worry for each buyer, what they gave up and whether they used it again.
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.
Related specialists
- Customer interview pattern tracker
- Customer return and buyer-fit reviewer
- High-value customer acquisition planner
- Marketing survey design reviewer
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 guide to a timeline interview, with probes and the questions to avoid
- Each buyer's story in six lines, tied to the notes
- The four forces for each buyer and what each one fired
- Clusters of matching stories with counts, and the surprises that do not fit
- A ranked list of what holds buyers back, two fixes for each and one small test with a keep rule
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: Many people look at your product and never switch.
- Interview guide. A timeline interview plan with seven stops, probes, questions to avoid and how to record exact words.
- Stories. Each buyer's story in six lines, each line tied to your notes.
- Forces. Push, pull, habit and worry for each buyer, what they gave up and whether they used it again.
- Clusters and surprises. Matching stories grouped with counts of separate people, plus what does not fit and what to ask next time.
- Holding forces ranked. What holds buyers back, ranked by how many people it hits and how badly.
- Fixes and first test. Two fixes for each held-back force, a not-for line, and one small test with a keep rule.
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 Clayton Christensen would. This is a way of reviewing the work. It does not mean they wrote or endorse it.
Capabilities
- Plans the interviews. Picks recent buyers and writes a seven-stop timeline from the day they bought back to the first thought, and on to later use.
- Waits for the interviews. You ask, listen and keep each person's own words. Nothing more runs until you bring them back.
- Maps each story. Writes each interview as six lines, marks the four forces, names what was fired and checks for later use.
- Finds the patterns. Groups stories by what happened, not by age or size, and counts separate people. One-offs and surprises are kept in view.
- Plans the fix. Ranks the habits and worries, offers two fixes for each, helps with getting rid of the old way, writes a not-for line and sets up one test.
How the role works
- Checks your task, context and available tools.
- Picks the methods needed and prepares a work plan.
- Carries out supported tasks, with each method's limits and review gates.
- Checks the real deliverables and corrects supported faults.
- 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 why-buyers-switched 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/why-buyers-switched/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 the kind of purchase you want to understand
- A list of people who bought in the last few months
- Product facts and customer words (optional)
- Your interview notes, for the second half
Helpful context (optional)
- A list of recent buyers with order dates
- Reviews and support emails from those buyers
- Trial, demo or basket figures for the test baseline
Tools and access
- Claude: Holds the guide, several interviews' worth of notes and three steps of work in one run.
- A voice recorder: Recording, with consent, keeps the exact words the story map depends on.
- Any good chat AI: Writing the question list and rewrites is text work any strong chat AI does with this skill.
- A voice recorder: Recording, with consent, keeps the exact words the next step depends on.
- Any good chat AI: Reading notes and mapping stories is text work any strong chat AI does with this skill.
- A spreadsheet or board: The forces table is easier to sort and share in a spreadsheet.
- Any good chat AI: Ranking blockers and drafting fixes is text work any strong chat AI does with this skill.
- Your analytics: You need a baseline figure to judge the test.
Functions and deliverables
- Buyer switching interview planner: Share your product, buyers and interview access. Get an interview guide, maps of real buying stories and changes to test against switching barriers.
- A guide to a timeline interview, with probes and the questions to avoid
- Each buyer's story in six lines, tied to the notes
- The four forces for each buyer and what each one fired
- Clusters of matching stories with counts, and the surprises that do not fit
- A ranked list of what holds buyers back, two fixes for each and one small test with a keep rule
- Customer purchase interview script writer: Plan a buying story interview for five to eight recent buyers. You get a timeline script, probes and questions to avoid.
- Who to talk to and a short request note
- An opening to set the frame
- Seven stops of timeline questions with probes
- Questions about what they used before and what they dropped
- Questions to avoid, with three of yours rewritten
- A plan for capturing exact words
- Customer switching journey mapper: Turn interview notes from recent buyers into switch stories. See what pushed and held each person back, and the patterns across them.
- One six-line story per person, each line tied to a note
- A table of the four forces for each person
- What each buyer fired, and what tipped the choice
- A check on whether they used it again
- Clusters with counts, one-offs and surprises
- A list of what to ask next
- Customer switching barrier planner: Rank what stops buyers switching, get two fixes for each, and pick one small change to test first. Built for a buyer switch friction fix.
- A ranked list of habits and worries with the sums
- Each worry sorted by type and placed in the path
- Two fixes for each, with cost and speed
- Help for getting rid of the old way
- A line saying who it is not for
- One small change to test, with its measure and keep rule
- 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
Tasks you can use it for
- Many people look at your product and never switch.
- Customers say they like it, and you still do not know what made the ones who bought finally move.
- Your last interviews gave you praise and feature requests.
Limits to check before starting
- You want the product's best customers, not buying stories: use the Best customer finder.
- You only need an interview script for one purchase: use the Customer purchase interview script writer.
- You have no recent buyers to talk to: start with reviews and support emails, or ask a few people who looked and left.
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 plus three skill files, in the order they run: Buying story interview guide, Switch story mapper, Switch friction remover.
- Give the folder to Claude (in Claude Code, or as files in a Claude Project) and say "Follow HANDOFF.md".
- Describe what you sell and who bought lately. It writes the guide and stops.
- Hold five to eight interviews. Write the exact words with an ID and a date for each person.
- Bring the notes back and say "carry on from step 2".
Read it as data
Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/why-buyers-switched 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.