
In the last chapter, you set up your map. Now the trip begins, and it begins somewhere most people skip: the question itself. Long before you open a search tab, the quality of your answer is already being shaped by how clearly you framed what you are actually asking. In this chapter, you will learn what makes a question something that facts can answer, and how to turn a fuzzy itch of curiosity into a question worth researching.
Not every question can be settled by going and looking. Some questions are about facts, and some are about taste, and telling them apart is the first move in any honest piece of research.
A researchable question is one that can be answered by evidence: by checking the world, the record, or the data, rather than by personal preference. Its answer does not change depending on who you ask, as long as they look at the same reliable information.
The building block of a researchable question is the factual claim, a statement that is either true or false and that can, in principle, be checked. “This phone’s battery lasts eleven hours in independent testing” is a factual claim: it might be right or wrong, but there is a way to find out. Compare that with an opinion, a statement of preference or value that evidence alone cannot settle. “This is the best phone” is an opinion. No amount of data forces everyone to agree, because “best” depends on what each person cares about.
So can’t I research absolutely anything I am curious about?
You can research the factual parts of almost any curiosity, but you often have to dig them out first. Many everyday questions are a tangle of fact and opinion bundled together. Take “Is this restaurant good?” Hidden inside it are checkable facts (how it scores on hygiene, how long the wait is, what it costs) and pure preference (whether you like the flavors). The researchable question lives in the factual layer underneath the opinion.
One more word you will meet throughout this course: scope, the boundaries of what your question covers (who, what, where, and when). You will set scope deliberately in the next chapter; for now, just notice that a researchable question is also a bounded one, not an unanswerable everything-question like “Is technology good?”
Let’s make this concrete with a curiosity many people actually have. Imagine you keep seeing magnesium mentioned online and you find yourself wondering:
“Is magnesium good for sleep?”
That is a perfectly natural thing to wonder, but as a research question it is far too loose to answer well. Watch what happens when we interrogate it, one vague word at a time.
“Magnesium” in what form? A food, a supplement pill, a bath salt, a spray? These are not the same thing, and evidence about one says little about another.
“Good” in what way? Falling asleep faster, waking up less, sleeping longer, feeling more rested? “Good” is doing a lot of hidden work here.
For whom? A healthy adult, someone with a diagnosed deficiency, an older person, a child? The answer can differ by group.
“Sleep” measured how? By how you feel, or by something measurable like minutes to fall asleep?
Each of those is a piece of vagueness you can replace with a decision. Make those decisions, and the fuzzy curiosity sharpens into something a body of evidence could actually answer:
“Does taking a magnesium supplement help healthy adults fall asleep faster?”
Notice what we did, and what we did not do. We did not decide the answer in advance, and we are not claiming magnesium works or does not work. We only made the question precise enough that the evidence, once we go and find it, can give us a clear yes, no, or it depends. That is the whole job of framing: not to guess the answer, but to build a question the answer can attach to.
It helps to see the parts of a well-framed question laid out side by side. A researchable question is really four things stacked together: the curiosity or decision behind it, a single clear question, a defined scope, and the success criteria that tell you when you have a good-enough answer.
You do not need to perfect every block on the first try. Most good questions get sharper as you go. The point is to know the four parts exist, so that when a question feels unanswerable, you can spot which block is missing.

Time to do the reframing yourself, on a fresh topic.
The situation. A friend is about to spend real money and asks for your help thinking it through. The curiosity they hand you is wide open:
“Are electric cars better?”
As it stands, this question cannot be researched: “better” is undefined, there is no scope, and it mixes facts with preferences.
Your task. Rewrite it as a single, precise, researchable question.
Pin down at least three of the vague pieces (better in what way? compared to what? for whom or in what situation?).
State the outcome you would actually measure.
Keep it neutral, so that a “no” is still an allowed answer.
Deliver: one rewritten question (a single sentence), plus a couple of words noting which vague pieces you decided to pin down.
Then check your answer against the model solution found at the end of this chapter.
A researchable question is one that evidence can settle, not one that comes down to personal taste.
Factual claims are checkable and can be true or false; opinions express preference and cannot be settled by evidence alone.
Everyday curiosities often mix fact and opinion, so your job is to pull the factual, answerable question out of the tangle.
A good question has four parts: the curiosity behind it, one clear question, a defined scope, and success criteria for the answer.
Frame the question so a “no” is still allowed; never hide your hoped-for answer inside the question itself.
You now have a question that facts can answer. But “answerable” is not the same as “manageable.” In the next chapter, you’ll set the scope and success criteria that keep your question from becoming either too broad to finish or too narrow to matter.
There is no single correct rewrite, but a strong one makes its decisions visible. Here is one good answer, with the choices called out:
“For a typical city commuter driving about 15,000 km a year, does owning an electric car cost less to run over five years than a comparable petrol car?”
Why this works:
“Better” was replaced with one measurable outcome: running cost over five years. “Better” could have meant cleaner, faster, or more fun; the question now commits to one checkable thing.
Scope is set: a typical city commuter, about 15,000 km a year, a five-year window. Those boundaries make the answer findable instead of endless.
The comparison is named: against “a comparable petrol car,” not against some vague ideal.
It stays neutral: the answer could honestly come back as “no, it costs more,” which means we are researching, not cheerleading.
Now compare that with a weak rewrite:
If your own version named a measurable outcome, drew some boundaries, and left room for a “no,” you have got the move. The exact topic matters far less than the shape.