Frame a Question From Start to Finish
You have now met every part of framing on its own: separating the researchable part from the values part, narrowing a topic and setting boundaries, checking that real measurable evidence can reach the question, and naming the decision and success standard. This chapter puts them all in a single line. First, watch one ordinary, vague concern become a scoped, researchable question with a full Question Canvas attached, using nothing but moves you have already learned. Then you will run the same method yourself on a fresh topic and check your work against a model solution.
Meet the Vague Concern
Here is the starting point. A small community center has one spare room that sits empty on weekday evenings, and a volunteer committee that would like to put it to good use. At a meeting, one member says: “We should just use that room for whatever helps the community most.”
That sentence is where most groups start, and it is not yet something you can research. It is not even a question, and “helps the community most” is a values judgment dressed up as a fact. Two concrete proposals are on the table: run the room as a quiet study room for local students, or as a weekly board-game evening for isolated older residents. Everything below turns that fuzzy wish into something evidence can actually settle.
Split the Researchable Part from the Values Part
First, apply the split from earlier in this part. “Which use helps the community most?” is a mixed concern: it tangles questions evidence can answer with questions only values can settle. Pull them apart before doing anything else.
The evidence-answerable questions hiding inside it:
How many local students would regularly use a weekday-evening study room, and how many older residents would come to a game evening?
How much would each option cost to set up and run for one term (desks and lamps versus games and refreshments)?
How many volunteer hours a week would each option need?
The values questions that remain:
Do we care more about supporting students’ studying or about easing isolation among older residents?
Whose needs should come first when the room can only host one option?
Keep the first list; that is your research target. Park the second list honestly, as a choice the committee must make rather than a fact you can look up. You have not decided anything yet, but you now know exactly which part of the concern evidence can help with.
Narrow It to One Scoped Question
The answerable list still holds three separate questions, and you cannot chase all of them at once. Pick the single angle that most drives the decision: expected demand, meaning how many people would actually turn up for each option. Cost and volunteer hours matter, but they only count once you know whether anyone would come, so set them aside for now.
Now set the boundaries.
Who: local students of study age, and residents over a chosen age, say 65 and above.
What: likely regular attendance, not one-off curiosity on opening night.
Where: this community center’s spare room, on weekday evenings.
When: across a single trial term, about three months.
Put it together as one comparison: “Over one trial term, how would likely regular attendance compare between a weekday-evening study room for local students and a weekly game evening for residents over 65, in this center’s spare room?”
Run the fault check from earlier: no smuggled-in answer (it does not assume which option wins), a measurable yardstick (regular attendance), and boundaries on who, what, where, and when. The question passes.
Make It Evidence-Answerable and Measurable
Next, confirm the question is answerable in practice, not just in principle. Name at least one realistic, public source for each side of the comparison: a short sign-up survey run at the center, attendance figures from a comparable study club or game evening already running at this or a nearby center, and any usage numbers the center already keeps. Real evidence exists and you could reach it, so the question clears the practice test.
Then fix the measurable element and its units. For each option, count average regular attendees per week across the trial term; alongside it, note the setup-and-running cost per term and the volunteer hours per week. Those are the numbers that will let the two options be compared honestly rather than argued over.
Name the Decision and Write the Success Standard
Name the decision behind the question. The volunteer committee will act, and what they will do is choose which single option to trial next term with their one room slot and limited volunteer time. A real choice depends on the answer, so this is a genuine inquiry with a finish line.
Now write the success standard in advance: “A credible answer rests on regular-attendance estimates for both options, drawn from a sign-up survey plus attendance figures from at least one comparable existing program, recent and local enough to trust, together with each option’s term cost and weekly volunteer hours. I will be confident once I have attendance estimates for both options from at least two independent sources that point the same way.” That sentence tells you exactly when to stop gathering and decide.
Read the Finished Question Canvas
Gather the whole inquiry onto one page. Here is the Question Canvas for this example, one line per decision you have made.
Scoped question: over one trial term, how would likely regular attendance compare between a weekday-evening study room for local students and a weekly game evening for residents over 65, in this center’s spare room?
Scope and boundaries: this center’s spare room; weekday evenings; students of study age versus residents over 65; regular attendance; one trial term of about three months.
Researchable-versus-values split: kept, expected attendance, cost, and volunteer hours; parked, whether supporting study or easing isolation matters more.
Measurable element: average regular attendees per week for each option, plus term cost and weekly volunteer hours.
Decision behind it: the volunteer committee choosing one option to trial next term.
Success standard: attendance estimates for both options from at least two independent sources that agree, plus each option’s term cost and weekly volunteer hours.
Compare that page with where you began, “use it for whatever helps the community most.” A stranger could now pick up this canvas, gather the evidence, and know exactly when the answer is good enough to act on. That is the whole point of framing, and you have just watched it work from start to finish.
Your Turn!
The method only becomes yours once you have run it cold on a question someone hands you, without a walkthrough beside you. So before you leave this chapter, take one fresh, vague concern all the way to a scoped, researchable question with a Question Canvas of your own. Work through it yourself first, then check your answer against the model solution at the end of the chapter.
Here is your topic. A friend, tired of sitting in traffic every morning, says over coffee: “Honestly, cycling to work instead of driving would just be better for me.”
That is a vague concern with a values word (“better”) wrapped around a question evidence could actually help with. Your job is to turn it into one scoped, researchable question and capture your thinking on a Question Canvas, using only the moves from this part.
Work through the same steps you just watched in the worked example above:
Split the concern into the part evidence can answer and the part that rests on values, and park the values part honestly.
Narrow the answerable part to a single angle, then set boundaries for who, what, where, and when.
Confirm the question is answerable in practice by naming at least one realistic public source, then add a measurable element with its unit.
Name the decision behind the question, and write a success standard before you would start searching.
Collect all six decisions on a Question Canvas.
Keep everything to public information: figures anyone could find or gather, not private records. Give this more time than feels comfortable, because framing is the step that pays you back later.
Then check your answer against the model solution found at the end of this chapter.
Let’s Recap!
You own the framing method only once you have run it on a question handed to you without a walkthrough.
Start by splitting the evidence-answerable part from the values part, and park the values part honestly.
Narrow to one angle, set boundaries, and confirm that real public evidence could reach the question.
Add a measurable element, name the decision, and write the success standard before searching.
Capture the whole inquiry on a Question Canvas so a stranger could pick it up and act on it.
That completes the framing half of the method. Once you have checked your work against the model solution below and the Part 1 quiz confirms it is solid, Part 2 turns to the other half: taking the evidence you gather and synthesizing several partial, sometimes conflicting sources into one honest, defensible answer.
Model Solution
Here is one strong way to frame the topic. Yours will read differently and can still be right, so compare the shape of the reasoning rather than the exact words.
Split the concern:
Evidence-answerable part kept: how the two commute options compare on door-to-door time and on cost.
Values part parked: whether the effort, sweat, and weather exposure of cycling are “worth” it, which only the friend can judge.
Narrowed, bounded question:
“For my six-kilometer commute across town, how does cycling compare with driving on door-to-door travel time and on weekly commuting cost, over a typical working week in normal weather?”
Who: one commuter (the friend), not cyclists in general.
What: door-to-door time and weekly cost; not fitness benefit in this same question.
Where: this specific six-kilometer cross-town route.
When: a typical working week, in normal weather.
Evidence-answerable in practice and measurable:
Realistic public sources: a mapping app’s cycling and driving times for the route, published local fuel and parking prices, and a few timed trial rides the friend could make personally.
Measurable element: minutes door to door per trip, averaged over several trips, and cost per week in local currency.
Decision and success standard:
Decision: the friend deciding whether to switch their regular commute from car to bike.
Success standard: “A credible answer rests on door-to-door times from at least three real trips each way, plus this month’s actual fuel and parking costs, all specific to my route. I will be confident once the time and cost figures hold steady across trips and come from sources I could show someone else.”
Question Canvas:
Scoped question: for my six-kilometer cross-town commute, how does cycling compare with driving on door-to-door time and weekly cost, over a typical working week in normal weather?
Scope and boundaries: one commuter; a six-kilometer cross-town route; door-to-door time and weekly cost; a typical working week in normal weather.
Researchable-versus-values split: kept, travel time and weekly cost; parked, whether cycling is “worth” the effort and weather.
Measurable element: minutes door to door per trip, and cost per week.
Decision behind it: the friend choosing whether to switch commute mode.
Success standard: steady time and cost figures from at least three trips each way plus current local costs, all from shareable sources.
Notice that the model keeps the fitness benefit out of the scoped question on purpose. It matters to the friend’s decision, but it is a second question with its own measure, and bundling it in would break the one-question rule you practiced. If you scoped the fitness angle instead, that works too, as long as you kept it to a single measurable question with its own boundaries and success standard.
