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Published by at August 14th, 2021 , Revised On June 19, 2026

A problem statement in research is a short, evidence-based passage that names the specific issue your study will investigate, explains its context, and justifies why it matters — and the fastest way to learn it is from a real example. Below is a complete, annotated problem statement example in research (a clinical case on catheter-associated infections), broken into its four working parts: research problem, context, relevance, and aims and objectives.

This guide covers a full worked example you can model, a copy-ready four-part template, a comparison table of strong vs weak statements, discipline-specific samples, the five questions every statement must answer, and the most common mistakes — so you can write a focused, researchable statement for your next dissertation project.

A Full Problem Statement Example in Research

The clearest way to understand a problem statement is to read a complete one and then take it apart. The example below is built around a healthcare scenario, but the structure transfers to any field — education, business, engineering or the social sciences. It is split into four parts that almost every strong statement contains: the research problem, the context, the relevance, and the aims and objectives.

The same anatomy applies whether you are writing a short research paper or a far longer project; only the depth of the context and the number of objectives tend to change.

It scales all the way up to a full doctoral thesis, where reviewers simply expect each block to be argued in more detail. Read the complete statement first, then study the annotations that follow each block to see exactly what makes it work.

Anatomy of a Research Problem StatementFour building blocks, narrowing from broad issue to a researchable plan1. Research ProblemThe one specific issue — population, place and the precise concern2. ContextBackground and data that show the problem is real and measurable3. RelevanceWhy it matters — the cost of leaving it unsolved4. Aims & ObjectivesWhat the study will do about it (no solution yet)broad → specific
Figure 1: The four layers of a research problem statement, narrowing from a broad issue to a researchable plan. Source: ResearchProspect.

Part 1 — The Research Problem

Example: Patients admitted to the Intensive Care Unit (ICU) at X Hospital are developing catheter-associated urinary tract infections (CAUTIs) during their stay.

This single sentence is the heart of the statement. Notice how much it does in so few words: it identifies the population (patients admitted to the ICU), the location (X Hospital) and the specific issue (catheter-associated urinary tract infections). It names exactly one problem and resists the temptation to suggest a fix. Defining a single, bounded issue like this is what turns a vague worry into a true research problem that a study can actually investigate.

Catheter-associated urinary tract infections are among the most common hospital-acquired infections worldwide. They typically occur when a urinary catheter introduces bacteria into the bladder, leading to complications such as fever, prolonged hospital stays and, in severe cases, sepsis. By naming the problem so precisely, the writer immediately tells the reader what the study is about and where the investigation will take place.

Part 2 — The Context

Example: A survey at X Hospital found that most patients admitted to the ICU develop a urinary catheter infection after some time on the unit. These patients are already vulnerable, and most are catheterised on clinical instruction. Relatives confirmed that patients did not have a urinary tract infection before admission. Further research is needed to identify the cause and develop effective control measures.

The context section gives the reader the background needed to judge the problem. It draws on real data (survey results) and situational insight (feedback from families) to establish credibility. Where the research problem is one sentence, the context is where you prove the problem is real and worth studying. The early findings can be summarised as:

  1. Of 150 ICU patients surveyed, 60% developed a urinary tract infection within seven days of catheter insertion.
  2. The longer a catheter remains in place, the higher the chance of infection — risk rises sharply after 48 hours.
  3. Likely contributing factors include poor catheter care, inadequate staff training and non-adherence to infection-control procedures.

These figures demonstrate the scale of the problem and the necessity of the research, without yet committing to any explanation. Good context is specific and sourced; it does not rely on the reader assuming the issue is important.

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Part 3 — The Relevance

Example: ICU patients are already at high risk because they are recovering from severe injury, surgery or chronic illness. A catheter-associated infection in this group can be life-threatening, extend recovery time, and damage the hospital’s reputation. Investigating and reducing these infections is therefore both a clinical and an institutional priority.

The relevance section answers the question every examiner has in mind: so what? It explains why the problem deserves attention, covering both the human impact and the wider consequences. For this example the key points are:

  • Catheter-associated infections increase patient morbidity, mortality and healthcare costs.
  • Extended ICU stays raise the hospital’s workload and consume scarce resources.
  • Hospitals have a duty of care to prevent avoidable infections.
  • Repeated infections lead to poor patient outcomes, lower trust and possible regulatory scrutiny.

A short, concrete illustration makes the case vivid: in one reported instance, a patient who had recovered from a critical condition contracted a urinary tract infection from a poorly maintained catheter, triggering a second admission of two further weeks. Examples like this convince the reader that the problem has real, far-reaching implications for patient care, public health and hospital performance — not just academic curiosity.

Part 4 — Aims and Objectives

Your research aim is a broad statement of what you intend to achieve; your objectives are the specific, measurable steps that get you there. They sit at the end of the problem statement and act as a bridge to the rest of the study.

Example — Aim: To identify the causes of catheter-associated urinary tract infections among ICU patients at X Hospital and to inform interventions that reduce their incidence.

Objectives:

  1. To assess the prevalence of CAUTIs among ICU patients at X Hospital.
  2. To identify the key factors contributing to CAUTIs, such as catheter duration, hygiene protocols and nurse-to-patient ratios.
  3. To evaluate existing infection-control policies in the ICU and identify gaps in implementation.
  4. To propose evidence-based recommendations or training programmes to reduce CAUTI incidents.

Well-defined objectives keep the study structured, achievable and measurable. Each one maps directly onto a stage of the investigation, which is why the problem statement should align with the way you intend to structure the rest of your dissertation or thesis. Notice, too, that the statement still proposes no solution — only a plan to find one.

Worked Example: Turning a Weak Draft into a Strong Statement

Most first drafts are too broad or smuggle in a solution. The worked example below shows a typical weak attempt and the rewrite that fixes it, so you can apply the same edit to your own work.

Example — Weak draft: “Hospitals have a lot of infections and we should use better catheters and train nurses to stop them.”

Why it fails: it is vague (which hospitals? which infections?), it has no data, and it jumps straight to a solution.

Example — Strong rewrite: “Despite existing infection-control guidance, 60% of catheterised ICU patients at X Hospital developed a urinary tract infection within seven days during 2025 (n = 150). The factors driving this high rate are not yet understood, leaving the unit unable to target prevention effectively.”

Why it works: it is specific, quantified, sourced, and stops at the gap — it states what is unknown rather than prescribing the answer.

Strong vs Weak Problem Statements: A Comparison

Examiners can spot a weak statement in seconds. Use the table below as a checklist while you revise — each row shows a quality criterion, what a weak statement does, and what a strong one does instead.

Criterion Weak statement Strong statement
Focus Tries to cover several problems at once Names one specific, bounded issue
Specificity Vague population or setting Identifies who, what and where
Evidence Asserts importance with no data Backs claims with statistics or studies
Solution Proposes a fix prematurely Defines the gap; saves solutions for later
Researchability Too broad to investigate Scoped so a study can realistically answer it
Relevance Leaves “so what?” unanswered Explains the cost of inaction

Problem Statement Examples Across Disciplines

The four-part structure holds whatever your subject. The short samples below show how the same anatomy adapts to different fields. Each names a population, a setting and a specific gap — and none of them proposes a solution.

Discipline Example problem statement
Education Year 10 students at a comprehensive school in Manchester show a 22% decline in mathematics attainment since the shift to online assessment, yet the causes of this drop remain unexamined.
Business / HR A mid-sized UK software firm has seen voluntary staff turnover rise from 9% to 24% over two years; the factors driving this increase have not been systematically investigated.
Environmental science Phosphate concentrations in the River Wye have exceeded safe limits in 70% of 2025 samples, but the relative contribution of agricultural and urban sources is poorly understood.
Psychology First-year undergraduates report rising test anxiety, yet little is known about how peer-support interventions affect anxiety levels in UK university cohorts.
Engineering Lithium-ion battery packs in urban e-scooters degrade 30% faster than manufacturer estimates, and the in-use conditions responsible have not been quantified.

A Copy-Ready Problem Statement Template

If you are staring at a blank page, start from this fill-in-the-blanks template. Replace the bracketed prompts with your own details and you will have a first draft that already follows the correct structure. For a deeper, step-by-step walkthrough, see our full guide on how to write the problem statement.

Example — Template:

Problem: [Population] in [setting] are experiencing [specific issue].
Context: According to [source/data], [statistic or finding] shows that this issue affects [extent]. However, [what remains unknown].
Relevance: This matters because [impact on people / organisation / field], and leaving it unaddressed leads to [consequence].
Aim: This study aims to [broad goal], by [scope].
Objectives: (1) To [assess]… (2) To [identify]… (3) To [evaluate]… (4) To [recommend]…

“A problem well stated is a problem half solved.” — commonly attributed to Charles Kettering, inventor and head of research at General Motors.

The Five Questions Every Problem Statement Must Answer

Before you submit, test your draft against the five questions below. The annotated example earlier in this guide answers all of them — yours should too. If any answer is missing, the statement is not yet finished.

  • What is wrong? The catheter-associated urinary tract infections.
  • Where did it happen? X Hospital’s Intensive Care Unit.
  • When did it happen? During the patients’ ICU stay.
  • To what extent? Affecting roughly 60% of catheterised ICU patients.
  • How do you know? Based on hospital surveys and patient reports.

Common Mistakes to Avoid

Even strong researchers slip on the same few errors. Keep this list beside you as you edit:

  • Proposing a solution inside the statement — a problem statement defines the gap, it does not close it.
  • Bundling several problems together instead of isolating one researchable issue.
  • Stating that something is “important” without data or sources to prove it.
  • Writing so broadly that no realistic study could answer the question.
  • Confusing the topic (“urinary infections”) with the problem (“60% of ICU patients develop them despite existing guidance”).

How Long Should a Problem Statement Be?

There is no fixed word count, but the right length depends on the type of project. As a working guide, an undergraduate essay or short report needs only a tight paragraph; a master’s dissertation typically devotes half a page to a page; and a doctoral thesis or grant proposal may run to several paragraphs, because reviewers expect a fuller justification of the gap. The table below gives realistic ranges you can use as a starting point.

Project type Typical length What to emphasise
Undergraduate essay / report 1 short paragraph (80–120 words) A clear, single problem and why it matters
Master’s dissertation Half a page to a page (200–400 words) Problem, context with data, relevance, aims
PhD thesis / proposal Several paragraphs (400–700 words) A defended gap, situated against existing literature

Whatever the length, brevity beats padding. A statement that says less but says it precisely will always read as more authoritative than one that fills space with generalities. If yours is creeping past these ranges, the usual cause is that a second problem has crept in — split it out or cut it.

How to Write a Problem Statement, Step by Step

If you would rather build your own from first principles than fill in the template, follow this sequence. Each step maps onto one of the four blocks in the figure above.

  1. Identify the broad area, then narrow it until you are left with a single, specific concern you could realistically study.
  2. Gather evidence — statistics, prior studies or direct observations — that show the problem is real and measurable.
  3. State the gap: write one or two sentences describing exactly what is wrong, for whom and where.
  4. Explain the relevance by spelling out the consequences of leaving the problem unsolved.
  5. Set your aim and objectives, ensuring each objective is something a reader could later check you achieved.
  6. Revise ruthlessly — remove any sentence that proposes a solution or introduces a second problem.

Where the Problem Statement Sits in Your Project

The problem statement usually appears early in the introduction, just after you have set the scene and before your research questions and aims. It works hand in hand with the wider research problem that frames your whole study, and it sets up the objectives that the rest of your chapters will deliver. Getting it right early saves enormous rework later, because every subsequent section — literature review, methodology, analysis — should trace back to the gap you defined here.

Want a Well-Structured Problem Statement?

If you are struggling to frame the problem at the heart of your study, you do not have to do it alone. Professional support can help you produce a clear, focused and researchable statement that aligns with your goals. Our expert dissertation writers work with you to pin down a single, defensible issue, ground it in real evidence, and connect it cleanly to your aims and objectives.

Doctoral candidates can get the same help through our dedicated thesis writing service, which focuses on the deeper, literature-anchored justification that examiners expect at that level.

And if you are preparing work for publication, our research paper writing service will help you frame a tight, journal-ready problem statement — so whatever stage you are at, you can hand over a statement that sets the rest of your project up for success.

Frequently Asked Questions

What is a problem statement in research?

A problem statement in research is a concise, evidence-based passage that names the specific issue your study will investigate, sets out its context, and explains why it matters. It identifies the population, the setting and the precise concern, then connects to your aims and objectives — without yet proposing a solution. Its job is to convince the reader that a clear, researchable gap exists.

At its simplest, a problem statement has three parts: (1) a description of the current situation; (2) identification of the specific issue or gap within it; and (3) an explanation of the significance or impact of that problem, showing why it needs to be addressed. Many strong statements expand the third part into separate context, relevance, and aims-and-objectives sections, as in the worked example above.

Yes. A compact example: “Patients admitted to the ICU at X Hospital are developing catheter-associated urinary tract infections during their stay; a 2025 survey found 60% of 150 catheterised patients were affected within seven days, yet the causes remain unexamined.” It names the population, the setting, the specific issue, the extent and the evidence — and stops short of suggesting a fix.

Focus on one main issue rather than several; back your claims with facts, statistics or existing studies; avoid proposing solutions and keep the focus on defining the problem; make sure it clearly answers who, what, where, when and why; and keep it concise but detailed enough to show you understand the issue. A tight, quantified statement reads as far more authoritative than a broad, unsupported one.

The context section gives readers the background and scope they need to judge your problem. It establishes credibility by grounding the issue in real data or observations and shows that the problem is genuine rather than assumed. Without context, a reader cannot assess the significance or urgency of your study, and the problem statement reads as opinion rather than evidence.

A research problem is the underlying gap, difficulty or unanswered question your study addresses — the broad issue itself. The problem statement is the written passage that articulates that problem clearly: it frames the issue, supplies context and relevance, and connects it to your aims. In short, the research problem is what you study; the problem statement is how you present it to the reader.

About Owen Ingram

Avatar for Owen IngramIngram is a dissertation specialist. He has a master's degree in data sciences. His research work aims to compare the various types of research methods used among academicians and researchers.

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