A week into your IA, you’ll probably meet a familiar villain.
Not procrastination. Not even the word count.
It’s the moment you open your draft and realize you’re trying to study everything (the whole topic, the whole unit, sometimes the whole world) -- or the opposite: you’ve boxed yourself into a question so tiny that your conclusion arrives before your analysis does.
Your IA research question is the hinge on which the entire assessment swings. When the question is sized correctly, your method feels obvious, your evidence feels relevant, and your evaluation feels earned. When it’s sized wrong, you end up collecting data you can’t use, summarizing instead of analyzing, and writing “limitations” that sound like apologies.
If you want a rubric-aligned overview of how IAs are actually marked across subjects, start with RevisionDojo’s IA guides. Then come back here to fix the most common root cause: scope.
Student holding massive scroll labeled My IA Research Question
IA research question sizing checklist (60 seconds)
Before you commit, run this quick test on your IA research question:
Can I answer it well within the subject’s limits (time, data, word count)?
Does it clearly connect to the syllabus and the assessment criteria?
Do I know what evidence I will use (data, sources, texts) -- and can I access it?
Will my response require analysis and evaluation, not just description?
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Can a reader tell what I’m excluding as well as what I’m including?
An IA research question is too broad when it creates more reading, measuring, or explaining than you can realistically convert into analysis.
Signs your IA is too broad
It covers a whole field instead of one slice.
“How does climate change affect ecosystems?” can’t be handled with depth in an IA.
Key terms are vague.
Words like “impact,” “affect,” or “role” are fine, but not when the context is undefined.
You keep adding sub-questions to make it work.
If your IA plan includes “also I’ll mention…” five times, the question is driving scope creep.
Your evidence list becomes a spreadsheet.
Too many variables, case studies, regions, time periods, or stakeholder groups usually means the question is oversized.
Why a broad IA question loses marks
A broad IA tends to produce general writing: you summarize what’s already known instead of showing how your evidence supports a focused claim. Examiners reward clear selection. They want to see that you chose evidence because it answers the IA question, not because it’s interesting.
An IA research question is too narrow when it prevents you from demonstrating the higher-level thinking the rubric expects: evaluation, justification, limitations, and significance.
Signs your IA is too narrow
The answer is almost guaranteed.
If you can predict your conclusion with zero uncertainty, the IA becomes a confirmation exercise.
Your method produces too little evidence.
One tiny dataset, one source, one micro-context can make evaluation feel forced.
You can’t discuss multiple perspectives or limitations meaningfully.
Narrow questions often leave you with one obvious limitation repeated in different words.
You’re padding to reach the word count.
When students repeat results, over-explain definitions, or add irrelevant background, it’s often the IA question that’s too small.
Student looking at one data point under microscope
The “Goldilocks” fix: how to resize your IA question
A strong IA question feels “just right”: bounded, but still rich enough for analysis.
Narrow a broad IA question by adding constraints
Add one or two of these, not all of them:
A specific context (place, population, text, company, event)
A timeframe (two years, one decade, one season)
A clear relationship (independent/dependent variables; cause/effect; comparison)
A measurable outcome (growth rate, reaction time, price index, rhetoric techniques)
Example:
Too broad: “How does diet affect health?”
Better IA question: “How does increasing protein intake affect endurance performance in school athletes over one season?”
Broaden a narrow IA question by widening one dimension
If your IA is too small, expand just one lever:
Compare two conditions instead of one.
Use two sources/perspectives instead of one.
Increase the range of your independent variable.
Extend the timeframe slightly.
Example:
Too narrow: “What is the effect of Brand X fertilizer on tomato growth?”
Better IA question: “How do different fertilizer types affect the growth rate of tomato plants?”
Use the rubric as a stress test
When in doubt, ask whether your IA question naturally invites:
Cross-check expectations inside the IA Guides so your IA question aligns with what the rubric rewards.
Build exam confidence alongside coursework by using the Questionbank for targeted topic practice.
Lock in definitions and key language with Flashcards and spaced repetition.
When you’re drowning in uncertainty, use RevisionDojo’s AI Chat to ask, “Is this question measurable?” or “What variables am I missing?” without losing an hour.
For polishing, grading tools help you see whether your draft is analyzing or just narrating, and Tutors can turn that feedback into a plan.
If you want to keep exploring coursework support, browse all IA posts.
Closing: build an IA question that makes the writing easier
A strong IA research question doesn’t try to impress anyone. It tries to work.
When your IA question is balanced, you stop fighting the project and start building it: evidence becomes selectable, analysis becomes purposeful, and evaluation becomes specific. That’s how you protect marks while also protecting your time for exam prep.
If you want a faster way to land on that “just right” scope, use RevisionDojo to draft options, test them against the rubric, and tighten them with real feedback loops. Start with the IA guides, try the research question tool, then keep your momentum with the Questionbank and Flashcards while you finish your IA strong.
Sofia holds an MBA from Warwick Business School and spent eight years as a strategy consultant before moving into education. Her focus is IB Business Management Paper 1 and Paper 2, teaching students to apply tools from the Business Management Toolkit to the case study rather than describe them.