It Asks About You First
The level you are working at, how long you have, and what you can realistically get access to. A question that is excellent for a funded three-year study is useless in a twelve-week module.
Generating a hundred research questions is easy. Nearly all of them cannot be answered by you, this year, with what you can get hold of.
The hard part was never thinking of questions. Below: what it needs to know about you first, what each question comes with, and which ones get sent back.
The level you are working at, how long you have, and what you can realistically get access to. A question that is excellent for a funded three-year study is useless in a twelve-week module.
Each question arrives with the shape of the work behind it — what evidence would settle it, what method gets you there, and whether the thing you would need is something people can actually obtain.
Questions that cannot be answered as worded get marked and explained — too broad to close, two questions wearing one sentence, or no observable outcome anywhere in them.
Three steps from a topic you are interested in to a question you could actually finish.
What you want to look at, plus the constraints: your level, your deadline, and what data or people you can reach.
It proposes questions at a workable scope, attaches the evidence and method each would need, checks them against your constraints, and separates the answerable from the rest.
Pick the one you can defend and push it narrower — almost always the right direction. Save the run as a Playbook so a second question starts from here.
Any tool can produce questions. Producing ones you could finish is the job.
Not wrong — unanswerable, by you, in the time you have. It needs data nobody releases, or a population you cannot reach, or fifty interviews you will not get done by March. Realising that in week nine is the most common way a project loses a month.
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Two questions can read as equally interesting and differ by a factor of ten in what they cost to answer. Nothing on the page tells you which is which, so the choice gets made on how the sentence sounds. Attaching the method and the evidence turns that into a comparison.
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This does not search the literature, so it cannot tell you whether your question has already been answered by somebody in 2019. That check is yours and it is not optional — the feasibility assessment here is about whether the work is doable, not about whether it is new.
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Research rarely stops at one question — the first one produces three more, and a supervisor sends you back at least once. What you told it about your constraints and what you rejected both stay put. Your AllyHub never starts from scratch again, so each round gets faster every time.
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Students starting a dissertation, researchers framing a study, teams doing user research, and anyone whose proposal came back.
You have a topic you like and no question, and the gap between those two is where most of the first term goes. Supervisors are good at rejecting questions and short on time to explain what a workable one looks like.
The interesting version needs an ethics approval you will not get, and the version you will get approval for is dull. Finding the one that is both approvable and worth doing is the actual skill, and it is rarely taught.
Somebody asks the team to look into why churn is up, which is not a research question and cannot be planned against. Turning it into something with a method attached is what makes it schedulable.
The feedback says the question is too broad and does not say what narrower would look like. Seeing three narrower versions with their workloads attached is a faster route than guessing again.
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Scope, feasibility, literature, and going round again.
A tool that turns a subject into candidate questions to investigate. The generating part is not difficult; what determines whether the output is useful is whether anything checks that the questions can be answered by the person asking.
Yes, one topic at a time. Several fields explored together, longer working, and keeping your constraints so later rounds respect them are on the paid plans.
Usually one of three things: it is too broad to ever close, it is two questions in one sentence so no single answer satisfies it, or there is nothing observable in it that could come out differently. Each of those is fixable, and knowing which one you have is most of the fix.
No, and that gap matters. Nothing here searches published work, so novelty is entirely your responsibility — the assessment offered is about feasibility. A question can be perfectly answerable and already answered.
Most return a list of questions about your topic and stop, which leaves the only hard decision with you. Here your constraints come first, every question carries what answering it would require, the unanswerable ones are separated out with reasons, and your constraints stay on file for the next round.