Keep the parts aligned
Write one overall aim that names the study's main purpose. Follow it with a few specific objectives, each beginning with an observable action such as describe, compare, assess, design, test or interpret. Turn each objective into a question where a question format fits. Use a hypothesis only when your discipline and design call for a testable prediction.
Aim: assess how a defined set of interface features relates to first-year students’ task completion in one university portal. Objective 1: identify the selected tasks and interface features. Question 1: Which selected features do participants encounter while completing those tasks? Objective 2: compare task-completion patterns across the agreed test conditions. Question 2: How do the observed patterns differ between those conditions? The final method must specify the tasks, participants, measures and analysis.
Check that each question is answerable
- Name the population, text set, process or system you mean.
- Use terms that can be observed or defined in the literature.
- Keep the question neutral; do not write the answer into its wording.
- Specify a time period or location when it changes the scope.
- Check that your proposed method can produce evidence relevant to every question.
A practical alignment table helps: objective → research question → evidence required → collection or analysis method → chapter where the answer will appear. If one row has no credible evidence source, rewrite the objective or change the plan before collecting data.
When a hypothesis is appropriate
A hypothesis is a proposition that a suitable design can examine, often about a relationship or difference. It is not a promise that the expected pattern will occur. Qualitative, interpretive, design and some descriptive studies may use research questions without formal hypotheses. Use your department's conventions and consult a methods text or supervisor before adding statistical tests.
H₁: The new system will significantly improve productivity.
Among the specified users completing the same set of tasks, median completion time differs between the existing process and the tested prototype.
Frequent alignment failures
- Objectives that use vague verbs such as know, understand or look into without saying what evidence demonstrates them.
- Questions that ask for causes when the study only measures a cross-sectional association.
- An objective to recommend a policy without collecting evidence about the policy context.
- A hypothesis with no stated variables, comparison or analysis plan.
- Different versions of the objectives appearing in Chapters One, Three, Four and Five.
Review checklist
- Is there one clear aim and a manageable set of specific objectives?
- Does every objective map to a question or other explicit evidence task?
- Can the method answer each question directly?
- Are the same terms and populations used throughout the proposal?
- Can you explain what evidence would count as an answer, including an unexpected or null finding?
Sources and further reading
These university writing resources inform the general advice here. They do not replace your department's handbook or supervisor's guidance.