Research questions state what your study will find out, and research objectives state what you will do to find it out, in terms concrete enough that an examiner can check whether you did it. A PhD normally has one aim, three to five research questions, and one or two objectives for each question.
This guide covers the step after you have found your gap: turning it into questions and objectives that a doctoral committee accepts at the synopsis stage and that still hold together at the viva. How to find and write the gap itself is covered in our research gap guide, and turning questions into testable predictions is covered in the hypothesis guide. Here we deal with the middle link: wording, number, scope and the mistakes that get objectives sent back.
Last reviewed September 2026.
What is the difference between an aim, research questions and objectives?
Scholars often use these words as if they meant the same thing, and synopsis templates at many universities do not help. They are different, and a committee member who has read a hundred synopses will notice when they are mixed up.
| Element | What it is | How many | Example (management) |
|---|---|---|---|
| Research problem | The practical or scholarly problem that makes the study worth doing | One | Hybrid work is now common in Indian IT firms, but engagement surveys show mixed results |
| Aim | The overall purpose of the study, in one sentence | One | To explain how hybrid work arrangements affect employee engagement in Indian IT services firms |
| Research questions | The specific questions the study will answer | Usually 3–5 | Does the number of office days per week relate to engagement? |
| Objectives | What you will do to answer each question, phrased as an outcome you can check | One or two per question | To measure the relationship between office days per week and engagement among 400 employees in Bengaluru and Pune |
| Hypotheses | Testable predictions, only where the design is confirmatory | As many as the model needs | H1: Supervisor support moderates the relationship between office days and engagement |
The research problem comes first and has its own guide. The aim is the broad purpose. The research questions break the aim into answerable parts. The objectives say what you will do to answer each question, with enough detail to show it is feasible. Hypotheses come only where you are testing a prediction with quantitative data.
Some universities ask for objectives only, with no separate questions. That is fine. Write the questions for yourself anyway, because they make the objectives sharper. Some ask for both in the synopsis; check the format your research cell circulates, or the synopsis format guide for the usual order.
How do you write a good research question?
A good research question is one you could answer with your data, in your time, and whose answer someone would care about. In practice most weak questions fail one of four tests.
It must be answerable with evidence
“Is online learning better than classroom learning?” cannot be answered. Better for whom, measured how, in which subject? “Do Class 9 students in Kerala government schools who used a blended mathematics programme score differently on the state assessment from those who did not?” can be answered, and a committee can judge whether your design fits it.
It must not be answerable with yes or no alone
“Does social media affect students?” invites a yes, and then there is nothing left to say. Ask how, how much, for whom or under what conditions.
It must match a type of design
The wording of a question commits you to a type of study. Get this right early and the methodology chapter nearly writes itself.
- Descriptive (“What is the level of…”, “How do teachers describe…”): surveys, content analysis, interviews.
- Relational (“Is X associated with Y?”): correlational surveys, regression, SEM.
- Comparative or causal (“Does X differ between groups?”, “Does the intervention change Y?”): experiments, quasi-experiments, group comparisons.
- Exploratory (“How do first-generation scholars experience supervision?”): qualitative designs such as interviews and thematic analysis.
- Design or development (“Can an algorithm reduce energy use in a sensor network by…?”): common in engineering and computer science, answered by building and benchmarking.
It must be the right size for a PhD
Too broad and you cannot finish. Too narrow and it is a master’s dissertation. A rough test: could you publish two or three journal papers from the answers? If the answer to all your questions fits in one paper, the scope is probably too small.
In clinical and health research, the PICO format (population, intervention, comparison, outcome) is a useful way to make a question precise. The FINER criteria (feasible, interesting, novel, ethical, relevant), from Hulley and colleagues’ textbook Designing Clinical Research, are a good check in any field.
How do you write research objectives that a committee accepts?
An objective is a promise. At your pre-submission seminar someone will read your objectives aloud and ask whether you met each one. Write them so that the answer is obviously yes or no.
| Avoid | Why | Use instead |
|---|---|---|
| To study | Says nothing about what you will find out | To measure, to compare, to estimate |
| To understand | No way to tell when it has been achieved | To identify, to explain, to describe how |
| To know | Same problem as “understand” | To determine, to assess |
| To collect data on | An activity, not an outcome | State what the data will show |
| To prove | Research tests; it rarely proves | To test whether, to examine whether |
| To create awareness | An intervention goal, not a research objective | To assess awareness before and after |
The SMART test (specific, measurable, achievable, relevant, time-bound) is borrowed from management, and it works reasonably well for objectives. Time-bound is the part scholars skip. You do not need a date in each objective, but the whole set must be achievable within your registration period. A study that needs three years of monthly data collection will not fit a four-year PhD that starts fieldwork in year two.
How many objectives?
Three to five is typical and usually right. Two can look thin. Eight or more usually means some are really sub-steps or activities that belong in the methodology. One test from our gap guide applies here too: if you deleted an objective and nothing in your gap would be left unanswered, it does not belong.
Order matters
Put objectives in the order a reader needs them. Descriptive objectives (the current level of something) usually come first, relational or comparative ones next, and any objective to develop a model, framework or recommendation comes last, because it depends on the others.
Recommendations are not an objective on their own
“To suggest measures to improve…” appears in many Indian synopses. On its own it is weak, because any study can make suggestions. If you keep it, tie it to findings: “to propose, from the results of objectives 1–3, a supervision model and test its acceptability with 15 department heads.” Now it is research.
Weak and strong examples from several fields
Each pair below keeps the same topic. The strong version is not longer for the sake of it; it adds the population, the measure, or the comparison that makes it checkable.
Commerce
Weak: To study the awareness of mutual funds among investors.
Strong: To measure awareness of mutual fund risk categories among retail investors in Coimbatore district, and to compare it across age, income and education groups.
Education
Weak: To understand the problems faced by teachers in online teaching.
Strong: To identify, through interviews with 20 government school teachers in rural Madurai, the barriers they report in delivering online classes, and how they worked around them.
Computer science
Weak: To develop an efficient intrusion detection system.
Strong: To develop a lightweight intrusion detection model for IoT networks and compare its detection rate, false positive rate and memory use with two published baselines on the CIC-IoT2023 dataset.
Public health
Weak: To know about anaemia among adolescent girls.
Strong: To estimate the prevalence of anaemia among adolescent girls attending government schools in one district, and to examine its association with dietary diversity and menstrual history.
Literature
Weak: To study the theme of identity in the novels of a selected author.
Strong: To analyse how narrative voice constructs caste identity in four novels by the selected author, published between 1995 and 2015, in comparison with earlier critical readings.
Humanities objectives rarely need numbers, and forcing them in looks odd. Precision there comes from naming the texts, the period and the critical question.
Do you need hypotheses as well as objectives?
Only if part of your study is confirmatory and quantitative. A relational or comparative objective (“to examine whether supervisor support moderates…”) usually gets one or more hypotheses. A descriptive or exploratory objective does not. A thesis with 20 hypotheses and three objectives is badly balanced; a thesis with hypotheses on a purely qualitative study will be questioned at the viva.
Keep numbering consistent. If objective 2 leads to H2a and H2b, say so in a small table in the methodology chapter. The hypothesis guide covers how to word them and when to leave them out.
Can you change your objectives after the synopsis is approved?
You can, through the proper channel, not informally. In most Indian universities the objectives approved at the synopsis stage by the doctoral or research advisory committee are the ones your thesis will be judged against. Examiners sometimes compare the two.
Small wording changes that do not alter scope are normally accepted without fuss. Adding, dropping or substantially changing an objective usually needs to be recorded in your progress report and agreed at a DC or RAC meeting, and some universities require a formal change-of-title or change-of-scope application. The rules differ, so check your university’s PhD ordinance or ask the research cell before you change anything in writing.
Record any change formally rather than letting the thesis drift from the approved objectives, because the pre-submission seminar checks the thesis against them.
A final check before submission
- The aim fits in one sentence and names the population and setting.
- Each research question can be answered with the data you plan to collect, within your registration period.
- Each objective starts with a verb whose outcome can be checked: measure, compare, identify, develop, evaluate.
- Each objective maps to one research question, and each question to part of the gap.
- No objective describes an activity (“to collect data”, “to review literature”).
- Population, place and time are stated once, clearly, and not contradicted later.
- The methodology chapter has a method for every objective, and the conclusion chapter answers every question.
The methodology guide explains how to lay out a method for each objective in the thesis.
Sources
FAQ
Questions scholars ask
How many research objectives should a PhD have?
Three to five is typical. Fewer can make the study look too small for a doctorate; more usually means some are sub-steps that belong in the methodology.
Should objectives be written in the future tense?
In the synopsis they are usually infinitives (“to measure…”), which avoids the tense question. In the thesis, the introduction keeps the same wording, and the conclusion reports in the past tense what was found for each.
Can a research question and an objective be the same sentence?
They often overlap, and some universities ask for only one of them. If you write both, the question should say what you want to know and the objective should add how or on whom you will find out.
Is “to suggest suitable measures” an acceptable objective?
It is common but weak on its own. Tie it to your findings and give it a method, for example testing proposed measures with practitioners, or move it to the implications section of the discussion.
My supervisor wrote my objectives. Is that a problem?
Supervisors often shape objectives, and that is normal. What matters is that you understand why each one is there and can defend it at the viva, because examiners will ask you, not your supervisor.
