Hire an AI buyer complaint product idea reviewer
Rank sourced buyer complaints, compare gaps and score a chosen product using its actual price and costs.
What you give
- A category or a market you want to sell in
- Who you are, your budget and your country
- The top brands in the category, if you know them (optional)
What you get
- Ranked buyer complaints with proof, and sub-categories with weak ratings but strong search
- Thirty buyer problems, your best five and the brands already selling to each
- A ranked list of gaps, a one-line position for the top one and a short test
- A score out of 100 for your chosen product, a go or no-go and the one thing to fix first
An example
You have a category in mind and no product yet.
You ask: “Rank sourced buyer complaints, compare gaps and score a chosen product using its actual price and costs. Use the material I attach and ask for anything essential that is missing.”
You get back:
- Step 1: Rating gap product finder. Ranked buyer complaints with proof, willingness to pay, and sub-categories with weak ratings but strong search.
- Step 2: Pain point niche finder. Thirty buyer problems, the best five and the brands already selling to each.
- Step 3: Crowded category white space finder. A rival comparison, ranked gaps, a one-line position for the top gap and a short test.
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.
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Skills and workflows for this job: Find products worth selling
Details
Everything it can hand back
Your task sets the actual outputs. The specialist picks the methods that cover them.
- Ranked buyer complaints with proof, and sub-categories with weak ratings but strong search
- Thirty buyer problems, your best five and the brands already selling to each
- A ranked list of gaps, a one-line position for the top one and a short test
- A score out of 100 for your chosen product, a go or no-go and the one thing to fix first
How it does the job well
- Start from the user problem and the evidence for it, then the solution.
- Write decisions down with the reason and the options you rejected.
- Keep scope small enough to ship and learn. Name what is out of scope.
- Define how success will be measured before building.
Mistakes it avoids
- Treating opinions or one loud request as proven demand.
- Specs that skip edge cases, error states or dependencies.
- Roadmaps with dates but no owners or confidence levels.
What a good result looks like
An example, not your task: You have a category in mind and no product yet.
- Step 1: Rating gap product finder. Ranked buyer complaints with proof, willingness to pay, and sub-categories with weak ratings but strong search.
- Step 2: Pain point niche finder. Thirty buyer problems, the best five and the brands already selling to each.
- Step 3: Crowded category white space finder. A rival comparison, ranked gaps, a one-line position for the top gap and a short test.
- Pause: your product choice. You pick one product for the top gap and write its cost, shipping cost and price.
- Step 4: Winning product scorer. Margin sums, eleven pass, warn or fail rules, a score out of 100, a go or no-go and the first fix.
- HAND-BACK SUMMARY. Each step's file, any step not run 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.
Capabilities
- Find the complaints. Lists the top unmet pain points with proof, looks for people saying they would pay more, and finds sub-categories with weak ratings but strong search. Keeps only gaps that two kinds of evidence agree on.
- Pick the best problems. Takes the complaints and the review lines. Writes 30 buyer problems, ranks five, and lists the brands that already sell to each.
- Find the gap rivals leave open. Takes the rival brands from the step before and compares them on price, where they sell, quality and buyer. Changes exactly one big thing and ranks the gaps.
- Pause and choose a product. You pick one product for the top gap and write its cost, shipping cost and the price you would charge.
- Score the product. Does the margin sums first, marks eleven rules pass, warn or fail, and gives a score out of 100 with a go or no-go and the one fix to make first.
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 find-a-product-idea-in-buyer-complaints-and-score-it 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/find-a-product-idea-in-buyer-complaints-and-score-it/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
- A category or a market you want to sell in
- Who you are, your budget and your country
- The top brands in the category, if you know them (optional)
- Reviews or forum posts from the category, copied in by hand from public pages (optional)
- A product cost, shipping cost and planned price, once you have picked a product
Tools and access
- Any chat AI with web search: Needed to find reviews, forum posts and Q&A. Without it, paste the text in.
- Amazon reviews and Q&A: Free text from real buyers on what products get wrong.
- Google Trends or a keyword tool: Gives search volume to confirm a gap.
- Any good chat AI: Any current chat AI can write the 30 problems and rank your five. Add web search for fresher examples.
- Meta Ad Library: Free. Use the search terms to find brands that already run ads for each problem.
- A paid ad spy tool: Optional. When connected to your AI it can list brands, ad counts and top ads for you.
- Amazon best-seller lists: Free. Show if a category page exists and how it is growing.
- Google Trends: Free. Shows if the category is rising, steady or falling over years.
- Any good chat AI: Any current chat AI can run the comparison if you paste the data in.
- Any good chat AI: Any current chat AI can run the sums and the rule marks. Paste your costs and links.
- Meta Ad Library: Free. Use it to find videos or ads for the content rule and to see if rivals run the product.
- Google Trends: Free. Check the search line for the exact product to see if it is a trend or evergreen.
Functions and deliverables
- Buyer complaint product idea reviewer: Rank sourced buyer complaints, compare gaps and score a chosen product using its actual price and costs.
- Ranked buyer complaints with proof, and sub-categories with weak ratings but strong search
- Thirty buyer problems, your best five and the brands already selling to each
- A ranked list of gaps, a one-line position for the top one and a short test
- A score out of 100 for your chosen product, a go or no-go and the one thing to fix first
- Product opportunity reviewer: Find product gaps where buyers search a lot but rate what exists low. Give it a category and get ranked pain points with proof links.
- The top ten unmet pain points, grouped by theme, ranked by urgency and willingness to pay, with proof links
- Sub-categories with a low average rating but strong search
- Rank, review and seller data where you supplied it or the AI could find it
- A product concept for one narrow buyer group, as a mood board and not a design
- Buyer problem and product idea finder: Name a market and your budget. Get 30 problem ideas, five picks and a plan to check products and competitors.
- A list of 30 specific buyer problems, in your buyers' words
- Your best five, with a reason for each and 2 or 3 products that could solve it
- For each pick, the brands selling to it, with product, pain point, ad pattern and page type. They come from your tool or your own searches.
- Search terms for the Meta Ad Library, when no tool is connected
- A game plan with a test budget, a stop point and what to check if the test fails
- Crowded market opportunity finder: Find gaps in a crowded product category by price, reach, taste or buyer. Give it the top brands and get ranked gaps, a position for each and a test.
- A list of gaps, ranked by how much money you could win
- A one-line position for each gap
- The first proof you need for the top gap
- A sea-of-sameness report, shifts the category has missed, and ideas borrowed from far away
- A one-change product idea and a short test plan
- Product idea viability scorer: Score a winning product idea before you buy stock or run ads. Give it your cost and price. You get 11 rule marks, a score out of 100 and a verdict.
- The margin sums, with the multiple and the gross profit per unit
- Each of the 11 rules marked pass, warn or fail, with the points
- A score out of 100 with the sum shown, and a verdict of go, test small or drop
- The one thing to fix first, and a one-line record for your shortlist
- Product context file writer: Share product facts, audience and positioning. Get a reviewed context file that other marketing skills can reference.
- A product marketing context file
- A summary of what the file already holds
- A change log of updates
- Gaps you still need to fill
Tasks you can use it for
- You have a category in mind and no product yet.
- You have a product idea and want to check that buyers actually complain about the gap.
- You want a go or no-go with the margin sums before you order stock.
Limits to check before starting
- You already ordered the product and only want to sell it: use the Ad test brief writer to plan what to test.
- You want to understand your current buyers' doubts, not find a new product: use the Customer objection coverage checker.
- Your category is health, safety or legal: check the claims and rules with a qualified person before you act on the result.
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 holds HANDOFF.md plus one skill file for each step.
- Give the folder to Claude (in Claude Code, or as files in a Claude Project) and say "Follow HANDOFF.md".
- Turn on web search if your AI has it. Without it, paste reviews in yourself.
- Add the competitor set (the top brands in the category) if you already know it. Otherwise step 2 finds them.
- When it pauses, choose one product for the top gap and write down its costs and price.
Read it as data
Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/find-a-product-idea-in-buyer-complaints-and-score-it 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.