The Question, Taken Apart
Is this worth entering becomes: who buys, how often, what they pay now, what they are unhappy with, who already serves them, and what stops a new entrant. Six questions, six answers.
Every deck contains a market size and nobody can say where it came from. This one will not give you one.
A market question is five or six smaller questions wearing a coat. Below: how it gets taken apart, what each part would take to answer, and what happens to data you already have.
Is this worth entering becomes: who buys, how often, what they pay now, what they are unhappy with, who already serves them, and what stops a new entrant. Six questions, six answers.
Every sub-question is tagged with what would settle it and whether that is public, purchasable, only obtainable by asking people yourself, or genuinely unknowable. Four different situations, four different plans.
Survey responses, sales history, support tickets, a spreadsheet somebody exported — those get processed properly rather than described. Most teams are sitting on more of their own evidence than they use.
Three steps from a vague opportunity to a list of questions with sources attached.
The market, the product, and what decision hangs on it. Attach anything you already hold — survey results, sales data, notes from customer calls.
It splits the question into parts, says what evidence each one needs, marks where that evidence lives, works through whatever you supplied, and lists what remains open.
The open questions are your research plan, in priority order. Save the run as a Playbook so the next market gets taken apart the same way.
The useful output of market research is not a number. It is knowing which number to go and find.
Ask most AI tools for a market size and you get one, to two decimal places, with a growth rate. It came from nowhere checkable, and it will be repeated in your deck and then in someone else's. Refusing to produce that figure is the most useful thing this does.
.jpeg&w=1920&q=75)
Half the questions people spend weeks on cannot be answered from a desk, and finding that out on day one changes the plan. Knowing something requires forty phone calls is a schedule; not knowing that is six weeks of searching for a report that was never written.
.jpeg&w=1920&q=75)
There is no licensed market data here and no live web access, which is the first thing to say because it determines what you should expect. What arrives is structure, reasoning, and work done on evidence you provide. Anything presented as an industry figure would have to have been invented.
.jpeg&w=1920&q=75)
The way you break a market down is transferable — the same shape of enquiry, the same standard of evidence, the same refusals. Applied to the second opportunity it costs almost nothing. Your AllyHub never starts from scratch again, so each one gets faster every time.
.jpeg&w=1920&q=75)
Founders sizing an idea, teams entering a new segment, consultants scoping a study, and anyone asked for a market number.
You need to know whether this is a business before spending a year on it, and the honest answer usually turns on three facts you do not have. Identifying which three is worth more than a confident total addressable market.
The company already sells something; the question is whether it sells to these people too. That is a narrower question than it looks, and much of it is answerable from customers you already have.
The proposal has to say what will be delivered and how long it takes, before anyone has done the work. Getting the question breakdown right at that stage is what decides whether the engagement is profitable.
Someone senior wants a figure by Friday and will treat whatever you produce as fact. The professional move is a range with its derivation attached, which is harder to write and considerably harder to argue with.
Explore more AI-powered tools across research, content, and data.

Amazon Bestsellers Scraper — pull any ranking list with rank position, ASIN, price, and rating. No code, no Amazon API, all marketplaces. Try AllyHub free.

Amazon Product Scraper — pull structured product data from any Amazon domain without code or the Amazon API. Export JSON or CSV. Try AllyHub free.

Amazon Niche Finder — start from your interests, a category, or a rival, and get underserved niches scored on demand vs competition. Try AllyHub free.
Guides on research that starts by admitting what it does not know.

Struggling to scrape Amazon product data without getting blocked? Learn safe, effective Amazon scraper methods using APIs, no-code tools, and Python.

Discover the 10 best Amazon competitor analysis tools used to track competitors, uncover keyword gaps, and understand why top listings outperform yours.

Discover the best Amazon SEO tools to boost your rankings, find high-converting keywords, and outpace competitors. Reviewed and ranked for e-commerce marketers.
Numbers, sources, your own data, and doing this again.
Historically, something that gives you industry figures. What most AI versions do instead is produce figures that resemble industry data without being sourced from any. This one works at the layer above: what the decision needs to know, and where each piece of that would actually come from.
Yes, one market at a time. Several opportunities compared, larger datasets of your own, and keeping the breakdown so later markets are assessed the same way are on the paid plans.
No, and that is deliberate rather than a limitation being dressed up. A market size produced without a source is a made-up number that travels — into your plan, your pitch, and eventually somebody's investment decision. What you get instead is what a defensible figure would need and how to build one.
That is where most of the real work happens. Survey exports, sales records, support tickets, and spreadsheets get read and computed rather than summarised, which regularly answers two or three of the sub-questions before any external research starts.
Most either sell you data or generate something shaped like data. Here the question gets taken apart, each part carries where its answer lives and what getting it would cost, your own evidence is put to work first, and the breakdown carries to the next market you look at.