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Problem Definition Process

Problem Definition Process: this article provides you with a practical explanation of the Problem Definition Process .After reading, you will understand the basics of this powerful problem solving method .

What is the Problem Definition Process?

It seems obvious to think that problems tend to define themselves and that the focus should be on determining the consequences and looking for solutions. To some extent this is true. However, an accurate problem definition, to be achieved with the Problem Definition Process, simplifies the way to a suitable solution.

Because the problem is defined analytically, the problem is examined from different angles and the problem definition process clarifies the points to focus on in the analysis performed on major critical problems.

Problem Definition Process is a tool that can be used to compare different problems, for example, within an organisation or in a project, and can highlight general problems that were previously unclear. What initially appears to be the whole problem is often only a part or a symptom of a larger, deeper, and more complex issue.

The problem definition process helps to visualise the problem, by presenting it from different angles and to help define the broader context and associated problems.

Implementing the Problem Definition Process is especially effective when all stakeholders are involved. In this way, one can develop valuable insights about the size of the problem and its possible consequences.

In addition, one can develop ideas about creative solutions, even if the solutions are not part of the problem definition process. However, defining the problem is essential before switching to, for example, a Root Cause Analysis , making an Ishikawa diagram or performing a cause-and-effect analysis .

Steps in the Problem Definition Process

1. describe the vision.

Start by describing how things should work in the most ideal situation. Before the problem is described or treated, a few sentences should be used to explain what the situation would be if the problem did not exist.

Take, for example, the check-in protocol of a small airline. If every passenger has to check in at the airport, long queues develop as a result and this takes up a lot of time. An inefficient check-in protocol is time consuming and entails extra costs.

This is a problem. After all, the aircraft has to depart as soon as possible. The check-in protocol must therefore be optimised, while making the situation understandable for all passengers.

2. Describe the problem

Accurately describing the problem is often half the work. Summarise the problem briefly and position the key information at the beginning of the single-phrase problem definition.

In the case of the airline company, this could be that: The company’s current check-in protocol is inefficient in use. By wasting man-hours, the current protocol makes the company less competitive and a slower check-in process creates an unfavourable brand image.

3. Describe the financial consequences of the problem

Once the problem is defined, it must be explained why it is a problem. After all, nobody has the means to solve every small problem. For example, if the airline transports 50 passengers per day, and if the current check-in protocol wastes about 6 minutes per passenger, this results in a loss of about 5 hours per day, which amounts to €100 per day, or €36,500 per year. A cost-benefit analysis, for example, can show whether the investment into an online check-in portal can be recouped.

Use Lean’s 5-times why

Approaching the problem with sufficient background information is advantageous, in that one can spot previously unforeseen issues. When engaging in the Problem Definition Process, use Lean’s “ 5 times why ” method: who, what, where, when and why. While defining the problem definition, all five W’s should be fully answered.

• Who causes or can influence the problem?
• What would the situation be if the problem did not exist, and what is the situation in the future if the problem persists?
• Where does the problem take place?
• When does the problem have to be solved?
• Why is it important to solve the problem?

What are some questions that can be asked here?

• Is the problem temporary or permanent?
• How many people are affected by the problem?
• Does this analysis of the problem possibly affect existing knowledge, practices or protocols?

Polish the problem definition

Some tips for improving the problem definition are:

One thing to keep in mind when writing the problem definition is to keep it as short and clear as possible. The problem definition must not be longer than necessary and must be understood by everyone who reads it. Use clear, direct language and don’t get stuck in small details. Only the essence of the problem should be dealt with.

Write for others

Since it is likeliest that different parties will be dealing with the problem, it is important that everyone interprets the problem in the same way. Therefore, adjust the tone, style and diction accordingly. Ask yourself: for whom am I writing this? Do these people know the same terms and concepts as I do? Do these people share the same attitude as I do?

Thus, do try to avoid using jargon

As mentioned above, the problem definition must be written in such a way that everyone interprets it correctly. This means that, unless it can be assumed that the reader does have the right knowledge, technical terminology should be avoided or these terms should be explained.

Problem Definition Process summary

Problems do not often solve themselves, which is why it is crucial to address problems without wasting time or inciting other inefficiencies. Since more than one party is usually working on a solution to the problem, the problem definition is the most important part of the solution because different interpretations of the problem cause a lot of uncertainty.

It’s Your Turn

What do you think? Are you familiar with the Problem Definition Process explanation? What do you think are things that contribute to a clear problem definition? How do you apply the Problem Definition Process in your environment? Do you have any tips or additional comments?

Share your experience and knowledge in the comments box below.

More information

• Cavana, R. Y., Delahaye, B. L., & Sekaran, U. (2001). Applied business research: Qualitative and quantitative methods . John Wiley & Sons Australia.
• Hicks, M. J. (2013). Problem solving in business and management: hard, soft and creative approaches . Springer .
• Gray, B. (1989). Collaborating: Finding common ground for multiparty problems .

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Published on: 29/11/2018 | Last update: 04/03/2022

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Ben Janse is a young professional working at ToolsHero as Content Manager. He is also an International Business student at Rotterdam Business School where he focusses on analyzing and developing management models. Thanks to his theoretical and practical knowledge, he knows how to distinguish main- and side issues and to make the essence of each article clearly visible.

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Article • 10 min read

The Problem-Definition Process

Developing the right solution.

By the Mind Tools Content Team

When we try to solve business problems, we can often pressurize ourselves to find solutions quickly.

The problem with this is that we can end up only partially solving the problem, or we can solve the wrong problem altogether, with all of the delay, expense, and lost business opportunity that goes with this.

The Problem-Definition Process helps you avoid this. In this article, we'll look at this process and we'll see how to apply it.

Dwayne Spradlin published the Problem-Definition Process in September 2012's Harvard Business Review . (We refer to this with permission.)

Spradlin was the President and CEO of Innocentive, an organization that connected organizations with freelance problem solvers. He developed the process over 10 years, while working with a community of more than 25,000 "problem solvers" such as engineers, scientists, and industry experts.

The process gives you four steps that help you better understand complex problems. These steps are:

• Establish the need.
• Justify the need.
• Understand the problem and its wider context.
• Write a problem statement.

The Problem-Definition Process encourages you to define and understand the problem that you're trying to solve, in detail. It also helps you confirm that solving the problem contributes towards your organization's objectives.

This stops you spending time, energy, and resources on unimportant problems, or on initiatives that don't align with your organization's overall strategy.

It also encourages you to fully define the problem and its boundaries. You can then use this information to justify the need for change, brief designers and contractors, and kick-off new projects successfully.

Use the Problem-Definition Process alongside tools such as Simplex and Hurson's Productive Thinking Model . These will guide you through the full problem-solving process .

Using the Problem-Definition Process

The four main steps in the Problem-Definition Process contain several smaller questions that, once answered, help you define and clarify the problem thoroughly.

Let's look at each step in more detail.

The process we present below is an adaptation of Spradlin's original model. We’ve included additional questions and sub-steps where appropriate.

1. Establish the Need

The first step is to identify why you need a solution to the problem. To do this, answer these questions:

a. What is the basic need? First, write your problem down in simple terms. Then, identify the basic need that you'll fulfill once you've solved the problem.

For example:

b. What is the ideal outcome? Next, identify the outcome that you want to see once you've implemented a solution.

Don't think of any particular solutions at this point – your aim is to visualize the result of a successful solution, not the solution itself.

It helps to be specific here: "Increase weekly sign-ups by 20 percent" is more useful than "Increase weekly sign-ups."

c. Who will (and won't) benefit? Finally in this step, identify all of the stakeholders who will benefit, both directly and indirectly, once you've solved the problem and reached your desired outcome. Write down who these people or groups are, and the advantages that they'll see.

Also consider who may be at a disadvantage if you solve the problem.

Tools like Impact Analysis and the Futures Wheel are useful here, as they help identify the possible consequences of a change.

As you work through the next steps of this process and get more of an understanding of your problem, you may find it useful to go back and refine your answers to previous questions.

2. Justify the Need

Once you understand the need for solving the problem, you must then justify why you should solve it. To do this, answer these questions:

a. Is effort aligned with your overall strategy? This problem, and the effort that you'll be putting into solving it, must align with your organization's strategic priorities , as well as its mission and values .

b. What benefits do we want, and how can we measure these? Identify what benefits your organization, as a whole, will see when you solve this problem, and think about how you can measure these in relation to its overall strategy and objectives. Be as specific as possible.

c. Are we likely to be able to implement a solution? Think about factors such as how you'll get support from stakeholders and decision-makers, and how you'll access the required resources and expertise. This may involve speaking with senior managers in your organization to understand what resources may be available.

3. Understand the Problem and Its Wider Context

In steps 1 and 2, you identified why you need a solution, and why it's important to your strategy and mission.

The three questions in this third step encourage you to look at the problem in more depth, and to look back into the past to see what you can learn from past efforts.

a. What's the cause? First in this step, make sure that you've identified all of the causes of your problem, using tools like CATWOE , Root Cause Analysis , Cause and Effect Analysis , Systems Diagrams , and Interrelationship Diagrams .

b. What solutions already exist? Have other people in your organization tried to solve this or a similar problem in the past? If so, what did they do? What worked and what didn't work?

Next you need to find out if people outside of your organization have already tried to do something about this problem. Widen your search to include trade journals, field studies, past research, competitors, industry experts, and your personal network.

Your goal is to look at what's been done already, and what hasn't worked, so that you don't waste time working on a solution that already exists, or working on a solution that's likely to fail.

c. What are the constraints? By now, you're starting to have a deeper understanding of the problem and how it relates to your organization. Now you can brainstorm factors that might prevent you from implementing a solution. (Use your answers from question c in step 2 to help with this.)

First, look at internal constraints. Will you have access to enough people, money, and other resources to solve this problem? Are there any stakeholders who might try to block your efforts? Are there any rules or procedures that you must follow? (For instance, a new website would need to align with your organization's brand guidelines.)

Next, look externally. Are there any government regulations or laws that might stall or block your solutions? Is the technology available?

d. What requirements must a solution meet? Write down the requirements that the solution must meet in order to solve the problem successfully. As part of this, also identify other factors that, while not essential for solving the problem successfully, would add value to the final solution. For example, you might want "quiet machinery," or a "database that you can access from anywhere with an Internet connection."

e. How will we define success? Identify how you'll define success once you've implemented a solution.

4. Write a Problem Statement

The final step is to pull together all of the information that you've gathered into a clear, comprehensive problem statement. This should provide a thorough overview of the problem, and outline a plan for how you will go about solving it.

If someone else (for example, a contractor, outside organization, or other department) will be tasked with solving the problem, also work through the following questions, and include the answers to these in your problem statement:

a. Which problem solvers should we use? Identify who, specifically, is best placed to help solve this problem. This could be a person, a team, or an outside firm.

b. What information and language should the problem statement include? The problem statement needs to be clear, specific, and understood by the people who should solve it. Avoid industry jargon , and make sure that it relates to its intended audience.

c. What do problem solvers need to produce? What will you or your organization need from them? For instance, will you need a comprehensive report, or a presentation on the proposed solution? Do you want a prototype? Is there a deadline? Spell the details out here.

d. What incentives do solvers need? This question addresses motivation. If an internal team will be working on the solution, how will they be rewarded? If an external team or firm will be addressing this problem, what incentives are you offering?

e. How will we evaluate the solutions? Who will be responsible for analyzing proposals, and what evaluation method will you use?

Dwayne Spradlin published the Problem-Definition Process in the September 2012 Harvard Business Review.

The process presents four steps that help you better understand complex problems. These four steps are:

The main advantage of using the process is that it helps you to define and understand the problem in detail, and helps you understand how important a problem is in relation to your organization's mission and strategy. From this, you can determine whether or not it's worth developing a solution.

Spradlin, D. (2012) 'Are You Solving the Right Problem?' Harvard Business Review . Available here . [Accessed November 8, 2018.]

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What is a Research Problem? Characteristics, Types, and Examples

A research problem is a gap in existing knowledge, a contradiction in an established theory, or a real-world challenge that a researcher aims to address in their research. It is at the heart of any scientific inquiry, directing the trajectory of an investigation. The statement of a problem orients the reader to the importance of the topic, sets the problem into a particular context, and defines the relevant parameters, providing the framework for reporting the findings. Therein lies the importance of research problem s.  

The formulation of well-defined research questions is central to addressing a research problem . A research question is a statement made in a question form to provide focus, clarity, and structure to the research endeavor. This helps the researcher design methodologies, collect data, and analyze results in a systematic and coherent manner. A study may have one or more research questions depending on the nature of the study.   

Identifying and addressing a research problem is very important. By starting with a pertinent problem , a scholar can contribute to the accumulation of evidence-based insights, solutions, and scientific progress, thereby advancing the frontier of research. Moreover, the process of formulating research problems and posing pertinent research questions cultivates critical thinking and hones problem-solving skills.   

Table of Contents

What is a Research Problem ?  

Before you conceive of your project, you need to ask yourself “ What is a research problem ?” A research problem definition can be broadly put forward as the primary statement of a knowledge gap or a fundamental challenge in a field, which forms the foundation for research. Conversely, the findings from a research investigation provide solutions to the problem .  

A research problem guides the selection of approaches and methodologies, data collection, and interpretation of results to find answers or solutions. A well-defined problem determines the generation of valuable insights and contributions to the broader intellectual discourse.  

Characteristics of a Research Problem  

Knowing the characteristics of a research problem is instrumental in formulating a research inquiry; take a look at the five key characteristics below:  

Novel : An ideal research problem introduces a fresh perspective, offering something new to the existing body of knowledge. It should contribute original insights and address unresolved matters or essential knowledge.   

Significant : A problem should hold significance in terms of its potential impact on theory, practice, policy, or the understanding of a particular phenomenon. It should be relevant to the field of study, addressing a gap in knowledge, a practical concern, or a theoretical dilemma that holds significance.  

Feasible: A practical research problem allows for the formulation of hypotheses and the design of research methodologies. A feasible research problem is one that can realistically be investigated given the available resources, time, and expertise. It should not be too broad or too narrow to explore effectively, and should be measurable in terms of its variables and outcomes. It should be amenable to investigation through empirical research methods, such as data collection and analysis, to arrive at meaningful conclusions A practical research problem considers budgetary and time constraints, as well as limitations of the problem . These limitations may arise due to constraints in methodology, resources, or the complexity of the problem.  

Clear and specific : A well-defined research problem is clear and specific, leaving no room for ambiguity; it should be easily understandable and precisely articulated. Ensuring specificity in the problem ensures that it is focused, addresses a distinct aspect of the broader topic and is not vague.  

Rooted in evidence: A good research problem leans on trustworthy evidence and data, while dismissing unverifiable information. It must also consider ethical guidelines, ensuring the well-being and rights of any individuals or groups involved in the study.

Types of Research Problems  

Across fields and disciplines, there are different types of research problems . We can broadly categorize them into three types.  

• Theoretical research problems

Theoretical research problems deal with conceptual and intellectual inquiries that may not involve empirical data collection but instead seek to advance our understanding of complex concepts, theories, and phenomena within their respective disciplines. For example, in the social sciences, research problem s may be casuist (relating to the determination of right and wrong in questions of conduct or conscience), difference (comparing or contrasting two or more phenomena), descriptive (aims to describe a situation or state), or relational (investigating characteristics that are related in some way).  

Here are some theoretical research problem examples :   

• Ethical frameworks that can provide coherent justifications for artificial intelligence and machine learning algorithms, especially in contexts involving autonomous decision-making and moral agency.  
• Determining how mathematical models can elucidate the gradual development of complex traits, such as intricate anatomical structures or elaborate behaviors, through successive generations.  
• Applied research problems

Applied or practical research problems focus on addressing real-world challenges and generating practical solutions to improve various aspects of society, technology, health, and the environment.  

Here are some applied research problem examples :   

• Studying the use of precision agriculture techniques to optimize crop yield and minimize resource waste.  
• Designing a more energy-efficient and sustainable transportation system for a city to reduce carbon emissions.  
• Action research problems

Action research problems aim to create positive change within specific contexts by involving stakeholders, implementing interventions, and evaluating outcomes in a collaborative manner.  

Here are some action research problem examples :   

• Partnering with healthcare professionals to identify barriers to patient adherence to medication regimens and devising interventions to address them.  
• Collaborating with a nonprofit organization to evaluate the effectiveness of their programs aimed at providing job training for underserved populations.  

These different types of research problems may give you some ideas when you plan on developing your own.  

How to Define a Research Problem  

You might now ask “ How to define a research problem ?” These are the general steps to follow:   

• Look for a broad problem area: Identify under-explored aspects or areas of concern, or a controversy in your topic of interest. Evaluate the significance of addressing the problem in terms of its potential contribution to the field, practical applications, or theoretical insights.
• Learn more about the problem: Read the literature, starting from historical aspects to the current status and latest updates. Rely on reputable evidence and data. Be sure to consult researchers who work in the relevant field, mentors, and peers. Do not ignore the gray literature on the subject.
• Identify the relevant variables and how they are related: Consider which variables are most important to the study and will help answer the research question. Once this is done, you will need to determine the relationships between these variables and how these relationships affect the research problem . 
• Think of practical aspects : Deliberate on ways that your study can be practical and feasible in terms of time and resources. Discuss practical aspects with researchers in the field and be open to revising the problem based on feedback. Refine the scope of the research problem to make it manageable and specific; consider the resources available, time constraints, and feasibility.
• Formulate the problem statement: Craft a concise problem statement that outlines the specific issue, its relevance, and why it needs further investigation.
• Stick to plans, but be flexible: When defining the problem , plan ahead but adhere to your budget and timeline. At the same time, consider all possibilities and ensure that the problem and question can be modified if needed.

Key Takeaways  

• A research problem concerns an area of interest, a situation necessitating improvement, an obstacle requiring eradication, or a challenge in theory or practical applications.   
• The importance of research problem is that it guides the research and helps advance human understanding and the development of practical solutions.  
• Research problem definition begins with identifying a broad problem area, followed by learning more about the problem, identifying the variables and how they are related, considering practical aspects, and finally developing the problem statement.  
• Different types of research problems include theoretical, applied, and action research problems , and these depend on the discipline and nature of the study.  
• An ideal problem is original, important, feasible, specific, and based on evidence.  

Frequently Asked Questions  

Why is it important to define a research problem?  

Identifying potential issues and gaps as research problems is important for choosing a relevant topic and for determining a well-defined course of one’s research. Pinpointing a problem and formulating research questions can help researchers build their critical thinking, curiosity, and problem-solving abilities.   

How do I identify a research problem?  

Identifying a research problem involves recognizing gaps in existing knowledge, exploring areas of uncertainty, and assessing the significance of addressing these gaps within a specific field of study. This process often involves thorough literature review, discussions with experts, and considering practical implications.  

Can a research problem change during the research process?  

Yes, a research problem can change during the research process. During the course of an investigation a researcher might discover new perspectives, complexities, or insights that prompt a reevaluation of the initial problem. The scope of the problem, unforeseen or unexpected issues, or other limitations might prompt some tweaks. You should be able to adjust the problem to ensure that the study remains relevant and aligned with the evolving understanding of the subject matter.

How does a research problem relate to research questions or hypotheses?  

A research problem sets the stage for the study. Next, research questions refine the direction of investigation by breaking down the broader research problem into manageable components. Research questions are formulated based on the problem , guiding the investigation’s scope and objectives. The hypothesis provides a testable statement to validate or refute within the research process. All three elements are interconnected and work together to guide the research.  

R Discovery is a literature search and research reading platform that accelerates your research discovery journey by keeping you updated on the latest, most relevant scholarly content. With 250M+ research articles sourced from trusted aggregators like CrossRef, Unpaywall, PubMed, PubMed Central, Open Alex and top publishing houses like Springer Nature, JAMA, IOP, Taylor & Francis, NEJM, BMJ, Karger, SAGE, Emerald Publishing and more, R Discovery puts a world of research at your fingertips.  

Try R Discovery Prime FREE for 1 week or upgrade at just US$72 a year to access premium features that let you listen to research on the go, read in your language, collaborate with peers, auto sync with reference managers, and much more. Choose a simpler, smarter way to find and read research – Download the app and start your free 7-day trial today !  

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Defining a Research Problem

Defining a research problem is the fuel that drives the scientific process, and is the foundation of any research method and experimental design, from true experiment to case study.

This article is a part of the guide:

• Null Hypothesis
• Research Hypothesis
• Selecting Method
• Test Hypothesis

Browse Full Outline

• 1 Scientific Method
• 2.1.1 Null Hypothesis
• 2.1.2 Research Hypothesis
• 2.2 Prediction
• 2.3 Conceptual Variable
• 3.1 Operationalization
• 3.2 Selecting Method
• 3.3 Measurements
• 3.4 Scientific Observation
• 4.1 Empirical Evidence
• 5.1 Generalization
• 5.2 Errors in Conclusion

It is one of the first statements made in any research paper and, as well as defining the research area, should include a quick synopsis of how the hypothesis was arrived at.

Operationalization is then used to give some indication of the exact definitions of the variables, and the type of scientific measurements used.

This will lead to the proposal of a viable hypothesis . As an aside, when scientists are putting forward proposals for research funds, the quality of their research problem often makes the difference between success and failure.

Structuring the Research Problem

Look at any scientific paper, and you will see the research problem, written almost like a statement of intent.

Defining a research problem is crucial in defining the quality of the answers, and determines the exact research method used. A quantitative experimental design uses deductive reasoning to arrive at a testable hypothesis .

Qualitative research designs use inductive reasoning to propose a research statement.

Formulating the research problem begins during the first steps of the scientific process .

As an example, a literature review and a study of previous experiments, and research, might throw up some vague areas of interest.

Many scientific researchers look at an area where a previous researcher generated some interesting results, but never followed up. It could be an interesting area of research, which nobody else has fully explored.

A scientist may even review a successful experiment, disagree with the results , the tests used, or the methodology , and decide to refine the research process, retesting the hypothesis .

This is called the conceptual definition, and is an overall view of the problem. A science report will generally begin with an overview of the previous research and real-world observations. The researcher will then state how this led to defining a research problem.

The Operational Definitions

The operational definition is the determining the scalar properties of the variables .

For example, temperature, weight and time are usually well known and defined, with only the exact scale used needing definition. If a researcher is measuring abstract concepts, such as intelligence, emotions, and subjective responses, then a system of measuring numerically needs to be established, allowing statistical analysis and replication.

For example, intelligence may be measured with IQ and human responses could be measured with a questionnaire from ‘1- strongly disagree’, to ‘5 - strongly agree’.

Behavioral biologists and social scientists might design an ordinal scale for measuring and rating behavior. These measurements are always subjective, but allow statistics and replication of the whole research method. This is all an essential part of defining a research problem.

Examples of Defining a Research Problem

An anthropologist might find references to a relatively unknown tribe in Papua New Guinea. Through inductive reasoning , she arrives at the research problem and asks,

‘How do these people live and how does their culture relate to nearby tribes?’

She has found a gap in knowledge, and she seeks to fill it, using a qualitative case study , without a hypothesis.

The Bandura Bobo Doll Experiment is a good example of using deductive reasoning to arrive at a research problem and hypothesis.

Anecdotal evidence showed that violent behavior amongst children was increasing. Bandura believed that higher levels of violent adult role models on television, was a contributor to this rise. This was expanded into a hypothesis , and operationalization of the variables, and scientific measurement scale , led to a robust experimental design.

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Martyn Shuttleworth (Oct 2, 2008). Defining a Research Problem. Retrieved Apr 27, 2024 from Explorable.com: https://explorable.com/defining-a-research-problem

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Problem Definition Phase vs. Scientific

What's the difference.

The Problem Definition Phase and Scientific Method both involve a systematic approach to identifying and solving problems. In the Problem Definition Phase, the focus is on clearly defining the issue at hand, gathering relevant information, and determining the root cause of the problem. Similarly, the Scientific Method involves formulating a hypothesis, conducting experiments to test the hypothesis, and analyzing the results to draw conclusions. Both processes emphasize the importance of thorough research, critical thinking, and logical reasoning in order to arrive at effective solutions.

Further Detail

Introduction.

Problem Definition Phase and Scientific Method are two important processes that are used in various fields to solve problems and make decisions. While they have some similarities, they also have distinct attributes that set them apart. In this article, we will compare and contrast the attributes of Problem Definition Phase and Scientific Method to understand how they differ and how they can be used effectively in different situations.

Problem Definition Phase

The Problem Definition Phase is the initial stage of problem-solving where the problem is identified, analyzed, and clearly defined. This phase involves gathering information, conducting research, and understanding the root cause of the problem. It is crucial to define the problem accurately in order to come up with effective solutions. The Problem Definition Phase helps in setting the direction for the problem-solving process and ensures that the right problem is being addressed.

• Identifying the problem
• Analyzing the problem
• Defining the problem
• Gathering information
• Setting the direction for problem-solving

Scientific Method

The Scientific Method is a systematic approach used in scientific research to investigate phenomena, acquire new knowledge, or solve problems. It involves a series of steps that include making observations, formulating hypotheses, conducting experiments, analyzing data, and drawing conclusions. The Scientific Method is based on empirical evidence and logical reasoning, and it aims to ensure that the results are reliable and reproducible. It is a structured and organized way of approaching problems and finding solutions.

• Making observations
• Formulating hypotheses
• Conducting experiments
• Analyzing data
• Drawing conclusions

Both the Problem Definition Phase and Scientific Method involve a systematic approach to problem-solving. They both require gathering information, analyzing data, and drawing conclusions based on evidence. However, the Problem Definition Phase is more focused on identifying and defining the problem, while the Scientific Method is more focused on testing hypotheses and conducting experiments to find solutions. The Problem Definition Phase is often used in business and management to address organizational issues, while the Scientific Method is commonly used in scientific research to explore natural phenomena.

Another key difference between the Problem Definition Phase and Scientific Method is the level of formality and structure. The Problem Definition Phase is often less structured and more flexible, allowing for creativity and innovation in problem-solving. In contrast, the Scientific Method follows a strict set of steps and guidelines to ensure that the results are valid and reliable. The Scientific Method is based on the principles of objectivity, repeatability, and verifiability, while the Problem Definition Phase allows for more subjective interpretation and judgment.

In conclusion, the Problem Definition Phase and Scientific Method are both valuable tools for problem-solving and decision-making. While they share some similarities, such as the systematic approach and reliance on evidence, they also have distinct attributes that make them suitable for different purposes. The Problem Definition Phase is more focused on identifying and defining the problem, while the Scientific Method is more focused on testing hypotheses and conducting experiments. Understanding the differences between these two processes can help individuals and organizations choose the most appropriate approach for solving problems effectively.

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Home » Research Process – Steps, Examples and Tips

Research Process – Steps, Examples and Tips

Table of Contents

Research Process

Definition:

Research Process is a systematic and structured approach that involves the collection, analysis, and interpretation of data or information to answer a specific research question or solve a particular problem.

Research Process Steps

Research Process Steps are as follows:

Identify the Research Question or Problem

This is the first step in the research process. It involves identifying a problem or question that needs to be addressed. The research question should be specific, relevant, and focused on a particular area of interest.

Conduct a Literature Review

Once the research question has been identified, the next step is to conduct a literature review. This involves reviewing existing research and literature on the topic to identify any gaps in knowledge or areas where further research is needed. A literature review helps to provide a theoretical framework for the research and also ensures that the research is not duplicating previous work.

Formulate a Hypothesis or Research Objectives

Based on the research question and literature review, the researcher can formulate a hypothesis or research objectives. A hypothesis is a statement that can be tested to determine its validity, while research objectives are specific goals that the researcher aims to achieve through the research.

Design a Research Plan and Methodology

This step involves designing a research plan and methodology that will enable the researcher to collect and analyze data to test the hypothesis or achieve the research objectives. The research plan should include details on the sample size, data collection methods, and data analysis techniques that will be used.

Collect and Analyze Data

This step involves collecting and analyzing data according to the research plan and methodology. Data can be collected through various methods, including surveys, interviews, observations, or experiments. The data analysis process involves cleaning and organizing the data, applying statistical and analytical techniques to the data, and interpreting the results.

Interpret the Findings and Draw Conclusions

After analyzing the data, the researcher must interpret the findings and draw conclusions. This involves assessing the validity and reliability of the results and determining whether the hypothesis was supported or not. The researcher must also consider any limitations of the research and discuss the implications of the findings.

Communicate the Results

Finally, the researcher must communicate the results of the research through a research report, presentation, or publication. The research report should provide a detailed account of the research process, including the research question, literature review, research methodology, data analysis, findings, and conclusions. The report should also include recommendations for further research in the area.

Review and Revise

The research process is an iterative one, and it is important to review and revise the research plan and methodology as necessary. Researchers should assess the quality of their data and methods, reflect on their findings, and consider areas for improvement.

Ethical Considerations

Throughout the research process, ethical considerations must be taken into account. This includes ensuring that the research design protects the welfare of research participants, obtaining informed consent, maintaining confidentiality and privacy, and avoiding any potential harm to participants or their communities.

Dissemination and Application

The final step in the research process is to disseminate the findings and apply the research to real-world settings. Researchers can share their findings through academic publications, presentations at conferences, or media coverage. The research can be used to inform policy decisions, develop interventions, or improve practice in the relevant field.

Research Process Example

Following is a Research Process Example:

Research Question : What are the effects of a plant-based diet on athletic performance in high school athletes?

Step 1: Background Research Conduct a literature review to gain a better understanding of the existing research on the topic. Read academic articles and research studies related to plant-based diets, athletic performance, and high school athletes.

Step 2: Develop a Hypothesis Based on the literature review, develop a hypothesis that a plant-based diet positively affects athletic performance in high school athletes.

Step 3: Design the Study Design a study to test the hypothesis. Decide on the study population, sample size, and research methods. For this study, you could use a survey to collect data on dietary habits and athletic performance from a sample of high school athletes who follow a plant-based diet and a sample of high school athletes who do not follow a plant-based diet.

Step 4: Collect Data Distribute the survey to the selected sample and collect data on dietary habits and athletic performance.

Step 5: Analyze Data Use statistical analysis to compare the data from the two samples and determine if there is a significant difference in athletic performance between those who follow a plant-based diet and those who do not.

Step 6 : Interpret Results Interpret the results of the analysis in the context of the research question and hypothesis. Discuss any limitations or potential biases in the study design.

Step 7: Draw Conclusions Based on the results, draw conclusions about whether a plant-based diet has a significant effect on athletic performance in high school athletes. If the hypothesis is supported by the data, discuss potential implications and future research directions.

Step 8: Communicate Findings Communicate the findings of the study in a clear and concise manner. Use appropriate language, visuals, and formats to ensure that the findings are understood and valued.

Applications of Research Process

The research process has numerous applications across a wide range of fields and industries. Some examples of applications of the research process include:

• Scientific research: The research process is widely used in scientific research to investigate phenomena in the natural world and develop new theories or technologies. This includes fields such as biology, chemistry, physics, and environmental science.
• Social sciences : The research process is commonly used in social sciences to study human behavior, social structures, and institutions. This includes fields such as sociology, psychology, anthropology, and economics.
• Education: The research process is used in education to study learning processes, curriculum design, and teaching methodologies. This includes research on student achievement, teacher effectiveness, and educational policy.
• Healthcare: The research process is used in healthcare to investigate medical conditions, develop new treatments, and evaluate healthcare interventions. This includes fields such as medicine, nursing, and public health.
• Business and industry : The research process is used in business and industry to study consumer behavior, market trends, and develop new products or services. This includes market research, product development, and customer satisfaction research.
• Government and policy : The research process is used in government and policy to evaluate the effectiveness of policies and programs, and to inform policy decisions. This includes research on social welfare, crime prevention, and environmental policy.

Purpose of Research Process

The purpose of the research process is to systematically and scientifically investigate a problem or question in order to generate new knowledge or solve a problem. The research process enables researchers to:

• Identify gaps in existing knowledge: By conducting a thorough literature review, researchers can identify gaps in existing knowledge and develop research questions that address these gaps.
• Collect and analyze data : The research process provides a structured approach to collecting and analyzing data. Researchers can use a variety of research methods, including surveys, experiments, and interviews, to collect data that is valid and reliable.
• Test hypotheses : The research process allows researchers to test hypotheses and make evidence-based conclusions. Through the systematic analysis of data, researchers can draw conclusions about the relationships between variables and develop new theories or models.
• Solve problems: The research process can be used to solve practical problems and improve real-world outcomes. For example, researchers can develop interventions to address health or social problems, evaluate the effectiveness of policies or programs, and improve organizational processes.
• Generate new knowledge : The research process is a key way to generate new knowledge and advance understanding in a given field. By conducting rigorous and well-designed research, researchers can make significant contributions to their field and help to shape future research.

Tips for Research Process

Here are some tips for the research process:

• Start with a clear research question : A well-defined research question is the foundation of a successful research project. It should be specific, relevant, and achievable within the given time frame and resources.
• Conduct a thorough literature review: A comprehensive literature review will help you to identify gaps in existing knowledge, build on previous research, and avoid duplication. It will also provide a theoretical framework for your research.
• Choose appropriate research methods: Select research methods that are appropriate for your research question, objectives, and sample size. Ensure that your methods are valid, reliable, and ethical.
• Be organized and systematic: Keep detailed notes throughout the research process, including your research plan, methodology, data collection, and analysis. This will help you to stay organized and ensure that you don’t miss any important details.
• Analyze data rigorously: Use appropriate statistical and analytical techniques to analyze your data. Ensure that your analysis is valid, reliable, and transparent.
• I nterpret results carefully : Interpret your results in the context of your research question and objectives. Consider any limitations or potential biases in your research design, and be cautious in drawing conclusions.
• Communicate effectively: Communicate your research findings clearly and effectively to your target audience. Use appropriate language, visuals, and formats to ensure that your findings are understood and valued.
• Collaborate and seek feedback : Collaborate with other researchers, experts, or stakeholders in your field. Seek feedback on your research design, methods, and findings to ensure that they are relevant, meaningful, and impactful.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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• How to Define a Research Problem | Ideas & Examples

How to Define a Research Problem | Ideas & Examples

Published on 8 November 2022 by Shona McCombes and Tegan George.

A research problem is a specific issue or gap in existing knowledge that you aim to address in your research. You may choose to look for practical problems aimed at contributing to change, or theoretical problems aimed at expanding knowledge.

Some research will do both of these things, but usually the research problem focuses on one or the other. The type of research problem you choose depends on your broad topic of interest and the type of research you think will fit best.

This article helps you identify and refine a research problem. When writing your research proposal or introduction , formulate it as a problem statement and/or research questions .

Table of contents

Why is the research problem important, step 1: identify a broad problem area, step 2: learn more about the problem, frequently asked questions about research problems.

Having an interesting topic isn’t a strong enough basis for academic research. Without a well-defined research problem, you are likely to end up with an unfocused and unmanageable project.

You might end up repeating what other people have already said, trying to say too much, or doing research without a clear purpose and justification. You need a clear problem in order to do research that contributes new and relevant insights.

Whether you’re planning your thesis , starting a research paper , or writing a research proposal , the research problem is the first step towards knowing exactly what you’ll do and why.

Prevent plagiarism, run a free check.

As you read about your topic, look for under-explored aspects or areas of concern, conflict, or controversy. Your goal is to find a gap that your research project can fill.

Practical research problems

If you are doing practical research, you can identify a problem by reading reports, following up on previous research, or talking to people who work in the relevant field or organisation. You might look for:

• Issues with performance or efficiency
• Processes that could be improved
• Areas of concern among practitioners
• Difficulties faced by specific groups of people

Examples of practical research problems

Voter turnout in New England has been decreasing, in contrast to the rest of the country.

The HR department of a local chain of restaurants has a high staff turnover rate.

A non-profit organisation faces a funding gap that means some of its programs will have to be cut.

Theoretical research problems

If you are doing theoretical research, you can identify a research problem by reading existing research, theory, and debates on your topic to find a gap in what is currently known about it. You might look for:

• A phenomenon or context that has not been closely studied
• A contradiction between two or more perspectives
• A situation or relationship that is not well understood
• A troubling question that has yet to be resolved

Examples of theoretical research problems

The effects of long-term Vitamin D deficiency on cardiovascular health are not well understood.

The relationship between gender, race, and income inequality has yet to be closely studied in the context of the millennial gig economy.

Historians of Scottish nationalism disagree about the role of the British Empire in the development of Scotland’s national identity.

Next, you have to find out what is already known about the problem, and pinpoint the exact aspect that your research will address.

Context and background

• Who does the problem affect?
• Is it a newly-discovered problem, or a well-established one?
• What research has already been done?
• What, if any, solutions have been proposed?
• What are the current debates about the problem? What is missing from these debates?

Specificity and relevance

• What particular place, time, and/or group of people will you focus on?
• What aspects will you not be able to tackle?
• What will the consequences be if the problem is not resolved?

Example of a specific research problem

A local non-profit organisation focused on alleviating food insecurity has always fundraised from its existing support base. It lacks understanding of how best to target potential new donors. To be able to continue its work, the organisation requires research into more effective fundraising strategies.

Once you have narrowed down your research problem, the next step is to formulate a problem statement , as well as your research questions or hypotheses .

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement.

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

The way you present your research problem in your introduction varies depending on the nature of your research paper . A research paper that presents a sustained argument will usually encapsulate this argument in a thesis statement .

A research paper designed to present the results of empirical research tends to present a research question that it seeks to answer. It may also include a hypothesis – a prediction that will be confirmed or disproved by your research.

Research objectives describe what you intend your research project to accomplish.

They summarise the approach and purpose of the project and help to focus your research.

Your objectives should appear in the introduction of your research paper , at the end of your problem statement .

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Stage 2 in the Design Thinking Process: Define the Problem

Once you’ve empathized with your users, you can move on to the second stage of the Design Thinking process and define the problem your users need you to solve.

If you’ve read our introduction to User Experience (UX) Design , you’ll know that UX is essentially about solving the problems that prevent users from accomplishing what they want to do with our product.

Before you can go into problem-solving mode, however, there is one very crucial step that you need to complete—one that will shape your entire design project from start to finish. In the Design Thinking process , this step is what’s known as the “define” stage.

As the second step in the Design Thinking process, the define stage is where you’ll establish a clear idea of exactly which problem you will solve for the user. You’ll then shape this into a problem statement which will act as your northern star throughout the design process.

In this guide, we’ll tell you everything you need to know about this stage in the Design Thinking process, as well as how to define a meaningful problem statement.

Here’s what we’ll cover:

• What is the define stage and why is it necessary?
• What is a problem statement?
• How to define a meaningful problem statement
• What comes after the define phase?

Before we dive in, though, if you’d like an overview of the entire Design Thinking process, check out this video:

1. What is the define stage and why is it necessary?

As the second step in the Design Thinking process, the define stage is dedicated to defining the problem: what user problem will you be trying to solve? In other words, what is your design challenge?

The define stage is preceded by the empathize phase , where you’ll have learned as much about your users as possible, conducting interviews and using a variety of immersion and observation techniques. Once you have a good idea of who your users are and, most importantly, their wants, needs, and pain-points, you’re ready to turn this empathy into an actionable problem statement.

The relationship between the empathize and define stages can best be described in terms of analysis and synthesis. In the empathize phase, we use analysis to break down everything we observe and discover about our users into smaller, more manageable components—dividing their actions and behaviour into “what”, “why” and “how” categories, for example. In the define stage, we piece these components back together, synthesising our findings to create a detailed overall picture.

Why is the define stage so important?

The define stage ensures you fully understand the goal of your design project. It helps you to articulate your design problem, and provides a clear-cut objective to work towards. A meaningful, actionable problem statement will steer you in the right direction, helping you to kick-start the ideation process (see Stage Three of the Design Thinking process ) and work your way towards a solution.

Without a well-defined problem statement, it’s hard to know what you’re aiming for. Your work will lack focus, and the final design will suffer. Not only that: in the absence of a clear problem statement, it’s extremely difficult to explain to stakeholders and team members exactly what you are trying to achieve.

With this in mind, let’s take a closer look at problem statements and how you can go about defining them.

2. What is a problem statement?

A problem statement identifies the gap between the current state (i.e. the problem) and the desired state (i.e. the goal) of a process or product . Within the design context, you can think of the user problem as an unmet need. By designing a solution that meets this need, you can satisfy the user and ensure a pleasant user experience.

A problem statement, or point of view (POV) statement, frames this problem (or need) in a way that is actionable for designers. It provides a clear description of the issue that the designer seeks to address, keeping the focus on the user at all times.

Problem or POV statements can take various formats, but the end goal is always the same: to guide the design team towards a feasible solution. Let’s take a look at some of the ways you might frame your design problem:

• From the user’s perspective: “I am a young working professional trying to eat healthily, but I’m struggling because I work long hours and don’t always have time to go grocery shopping and prepare my meals. This makes me feel frustrated and bad about myself.”
• From a user research perspective: “Busy working professionals need an easy, time-efficient way to eat healthily because they often work long hours and don’t have time to shop and meal prep.”
• Based on the four Ws—who, what, where, and why: “Our young working professional struggles to eat healthily during the week because she is working long hours. Our solution should deliver a quick and easy way for her to procure ingredients and prepare healthy meals that she can take to work.”

As you can see, each of these statements addresses the same issue—just in a slightly different way. As long as you focus on the user, what they need and why, it’s up to you how you choose to present and frame your design problem.

We’ll look at how to form your problem statement a little later on. Before we do, let’s consider some problem statement “do”s and “don’t”s.

What makes a good problem statement?

A good problem statement is human-centered and user-focused. Based on the insights you gathered in the empathize phase, it focuses on the users and their needs—not on product specifications or business outcomes. Here are some pointers that will help you create a meaningful problem statement:

• Focus on the user: The user and their needs should be front and center of your problem statement. Avoid statements that start with “we need to…” or “the product should”, instead concentrating on the user’s perspective: “Young working professionals need…”, as in the examples above.
• Keep it broad: A good problem statement leaves room for innovation and creative freedom. It’s important to keep it broad enough to invite a range of different ideas; avoid any references to specific solutions or technical requirements, for example.
• Make it manageable: At the same time, your problem statement should guide you and provide direction. If it’s too broad in terms of the user’s needs and goals, you’ll struggle to hone in on a suitable solution. So, don’t try to address too many user needs in one problem statement; prioritize and frame your problem accordingly.

Bearing these things in mind, let’s explore some useful methods for creating a meaningful problem statement.

3. How to write a meaningful problem statement

Writing a meaningful problem statement can be extremely challenging. How do you condense all the complexities of the user’s conscious and unconscious desires into one simple, actionable statement? Fortunately, there are some tried-and-tested methods that will help you do just that.

Space saturation and group

One of the first steps in defining a problem statement is to organize your findings from the empathize phase. Space saturation and group is a popular method used by design thinkers to collect and visually present all observations made in the empathize phase in one space. As the name suggests, you will literally “saturate” a wall or whiteboard with Post-It notes and images, resulting in a collage of artifacts from your user research.

As the Stanford d.school explains: “You space saturate to help you unpack thoughts and experiences into tangible and visual pieces of information that you surround yourself with to inform and inspire the design team. You group these findings to explore what themes and patterns emerge, and strive to move toward identifying meaningful needs of people and insights that will inform your design solutions.”

This method should involve anyone who took part in the empathize stage of the design project, and should take no longer than 20-30 minutes.

The four Ws

Asking the right questions will help you put your finger on the right problem statement. With all your findings from the empathize phase in one place, ask yourself the four Ws: Who , what , where , and why?

• Who is experiencing the problem? In other words, who is your target user; who will be the focus of your problem statement?
• What is the problem? Based on the observations you made during the empathize phase, what are the problems and pain-points that frequently came up? What task is the user trying to accomplish, and what’s standing in their way?
• Where does the problem present itself? In what space (physical or digital), situation or context is the user when they face this problem? Are there any other people involved?
• Why does it matter? Why is it important that this problem be solved? What value would a solution bring to the user, and to the business?

Approaching your observations with these four questions in mind will help you to identify patterns within your user research. In identifying the most prevalent issues, you’ll be one step closer to formulating a meaningful problem statement.

The five whys

Another question-based strategy, the five whys technique can help you delve deeper into the problem and drill down to the root cause. Once you’ve identified the root cause, you have something that you can act upon; somewhere specific to focus your problem-solving efforts.

Let’s take our previous example of the young working professional who wants to eat healthily, but finds it difficult to do so. Here’s how you might use the five whys to break the problem down and get to the root cause:

• Why is she not eating healthily? → She orders takeaway everyday.
• Why does she order takeaway everyday? → Her fridge and cupboards are empty.
• Why are the fridge and cupboards empty? → She hasn’t been grocery shopping in over a week.
• Why hasn’t she been grocery shopping? → She doesn’t have time to go to the supermarket.
• Why doesn’t she have time? → She works long hours and is exhausted.

The root cause here is a lack of time, so your solution might focus on efficiency and convenience. Your final problem statement might look something like this: “Young working professionals need a quick, convenient solution to eating healthily.”

4. What comes after the define phase?

By the end of the define phase, you’ll have turned your findings from the empathize stage into a meaningful, actionable problem statement. With your problem statement to hand, you’ll be ready to move on to the ideation phase , where you’ll turn your problem statement into “how might we” questions and generate as many potential solutions as possible.

As you move through the Design Thinking process, you’ll constantly refer back to your problem statement to make sure you’re moving in the right direction. A well-thought-out problem statement will keep you on track, help you communicate your objectives to key stakeholders, and ultimately lead you to that all-important user solution.

Want to learn more about designing user-friendly solutions? Check out these articles:

• UX Best Practices: How Can You Become A Better Designer?
• What Is User Experience Design? Everything You Need To Know To Get Started
• This Is Why Empathy Matters As A UX Designer
• What is lean UX?

Understanding Phases and Processes of Operations Research (O.R.) Study

Table of Contents

In this blog, we will provide a comprehensive overview of the different stages involved in O.R. and the essential processes used in each phase. An O.R. study comprises several phases, each with its unique processes, methodologies, and tools. In this blog, we’ll examine each phase’s objectives and processes to understand how O.R. can be used to address complex problems.

Phases of Operations Research Study

An O.R. study typically comprises six phases:

• Problem definition and formulation
• Data collection
• Model construction and selection
• Model validation and verification
• Solution generation and analysis
• Implementation and monitoring

1. Problem Definition and Formulation

In this phase, the problem is identified and defined, and the objectives of the study are determined. The scope of the study, the constraints, and assumptions are also defined in this phase. The primary output of this phase is a clear statement of the problem, which helps guide subsequent phases.

2. Data Collection

In this phase, the necessary data for the study are collected. Data can be collected from various sources, including databases, surveys, and historical records. Data quality is crucial at this stage, and it is essential to ensure that the data collected is complete, accurate, and relevant.

3. Model Construction and Selection

In this phase, a mathematical or simulation model is developed to represent the problem. The model should be simple enough to be solved using available techniques, but complex enough to capture the essential characteristics of the problem. Different modeling techniques can be used, including optimization, queuing theory, and simulation.

4. Model Validation and Verification

In this phase, the model is tested and validated to ensure that it accurately represents the problem. The model’s assumptions are tested, and the output is compared to real-world data to verify its accuracy. If the model is found to be inaccurate, it is refined or reconstructed in the previous phase.

5. Solution Generation and Analysis

In this phase, the model is solved using appropriate techniques to obtain the optimal solution. The solution is analyzed to determine whether it meets the objectives and constraints of the problem. Sensitivity analysis is also performed to determine how changes in the input parameters affect the output.

6. Implementation and Monitoring

In this phase, the solution is implemented, and the outcomes are monitored to ensure that they meet the objectives. This phase also involves developing an implementation plan, providing support to the implementation team, and addressing any challenges that arise.

The six phases of O.R. study provide a structured approach to problem-solving, ensuring that the decision-making process is comprehensive and efficient. Each phase requires a specific set of processes, tools, and methodologies that are tailored to the particular problem. By understanding the phases and processes of O.R. study, you can appreciate the complexity and scope of O.R. as an effective problem-solving technique.

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Operations Research

1 Operations Research-An Overview

• History of O.R.
• Approach, Techniques and Tools
• Phases and Processes of O.R. Study
• Typical Applications of O.R
• Limitations of Operations Research
• Models in Operations Research
• O.R. in real world

2 Linear Programming: Formulation and Graphical Method

• General formulation of Linear Programming Problem
• Optimisation Models
• Basics of Graphic Method
• Important steps to draw graph
• Multiple, Unbounded Solution and Infeasible Problems
• Solving Linear Programming Graphically Using Computer
• Application of Linear Programming in Business and Industry

3 Linear Programming-Simplex Method

• Principle of Simplex Method
• Computational aspect of Simplex Method
• Simplex Method with several Decision Variables
• Two Phase and M-method
• Multiple Solution, Unbounded Solution and Infeasible Problem
• Sensitivity Analysis
• Dual Linear Programming Problem

4 Transportation Problem

• Basic Feasible Solution of a Transportation Problem
• Modified Distribution Method
• Stepping Stone Method
• Unbalanced Transportation Problem
• Degenerate Transportation Problem
• Transhipment Problem
• Maximisation in a Transportation Problem

5 Assignment Problem

• Solution of the Assignment Problem
• Unbalanced Assignment Problem
• Problem with some Infeasible Assignments
• Maximisation in an Assignment Problem
• Crew Assignment Problem

6 Application of Excel Solver to Solve LPP

• Building Excel model for solving LP: An Illustrative Example

7 Goal Programming

• Concepts of goal programming
• Goal programming model formulation
• Graphical method of goal programming
• The simplex method of goal programming
• Using Excel Solver to Solve Goal Programming Models
• Application areas of goal programming

8 Integer Programming

• Some Integer Programming Formulation Techniques
• Binary Representation of General Integer Variables
• Unimodularity
• Cutting Plane Method
• Branch and Bound Method
• Solver Solution

9 Dynamic Programming

• Dynamic Programming Methodology: An Example
• Definitions and Notations
• Dynamic Programming Applications

10 Non-Linear Programming

• Solution of a Non-linear Programming Problem
• Convex and Concave Functions
• Kuhn-Tucker Conditions for Constrained Optimisation
• Quadratic Programming
• Separable Programming
• NLP Models with Solver

11 Introduction to game theory and its Applications

• Important terms in Game Theory
• Saddle points
• Mixed strategies: Games without saddle points
• 2 x n games
• Exploiting an opponent’s mistakes

12 Monte Carlo Simulation

• Reasons for using simulation
• Monte Carlo simulation
• Limitations of simulation
• Steps in the simulation process
• Some practical applications of simulation
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Stage 2 in the Design Thinking Process: Define the Problem and Interpret the Results

An integral part of the Design Thinking process is the definition of a meaningful and actionable problem statement, which the design thinker will focus on solving. This is perhaps the most challenging part of the Design Thinking process, as the definition of a problem (also called a design challenge) will require you to synthesise your observations about your users from the first stage in the Design Thinking process, which is called the Empathise stage.

When you learn how to master the definition of your problem, problem statement, or design challenge, it will greatly improve your Design Thinking process and result. Why? A great definition of your problem statement will guide you and your team’s work and kick start the ideation process in the right direction. It will bring about clarity and focus to the design space. On the contrary, if you don’t pay enough attention to defining your problem, you will work like a person stumbling in the dark.

In the Define stage you synthesise your observations about your users from the first stage, the Empathise stage. A great definition of your problem statement will guide you and your team’s work and kick start the ideation process (third stage) in the right direction. The five stages are not always sequential — they do not have to follow any specific order and they can often occur in parallel and be repeated iteratively. As such, the stages should be understood as different modes that contribute to a project, rather than sequential steps.

Analysis and Synthesis

Before we go into what makes a great problem statement, it’s useful to first gain an understanding of the relationship between analysis and synthesis that many design thinkers will go through in their projects. Tim Brown, CEO of the international design consultancy firm IDEO, wrote in his book Change by Design: How Design Thinking Transforms Organizations and Inspires Innovation , that analysis and synthesis are “equally important, and each plays an essential role in the process of creating options and making choices.”

Analysis is about breaking down complex concepts and problems into smaller, easier-to-understand constituents. We do that, for instance, during the first stage of the Design Thinking process, the Empathise stage, when we observe and document details that relate to our users. Synthesis , on the other hand, involves creatively piecing the puzzle together to form whole ideas. This happens during the Define stage when we organise, interpret, and make sense of the data we have gathered to create a problem statement.

Although analysis takes place during the Empathise stage and synthesis takes place during the Define stage, they do not only happen in the distinct stages of Design Thinking. In fact, analysis and synthesis often happen consecutively throughout all stages of the Design Thinking process. Design thinkers often analyse a situation before synthesising new insights, and then analyse their synthesised findings once more to create more detailed syntheses.

What Makes a Good Problem Statement?

A problem statement is important to a Design Thinking project, because it will guide you and your team and provides a focus on the specific needs that you have uncovered. It also creates a sense of possibility and optimism that allows team members to spark off ideas in the Ideation stage, which is the third and following stage in the Design Thinking process. A good problem statement should thus have the following traits. It should be:

Human-centered. This requires you to frame your problem statement according to specific users, their needs and the insights that your team has gained in the Empathise phase. The problem statement should be about the people the team is trying to help, rather than focusing on technology, monetary returns or product specifications.

Broad enough for creative freedom. This means that the problem statement should not focus too narrowly on a specific method regarding the implementation of the solution. The problem statement should also not list technical requirements, as this would unnecessarily restrict the team and prevent them from exploring areas that might bring unexpected value and insight to the project.

Narrow enough to make it manageable. On the other hand, a problem statement such as , “Improve the human condition,” is too broad and will likely cause team members to easily feel daunted. Problem statements should have sufficient constraints to make the project manageable.

As well as the three traits mentioned above, it also helps to begin the problem statement with a verb, such as “Create”, “Define”, and “Adapt”, to make the problem become more action-oriented.

How to Define a Problem Statement

Methods of interpreting results and findings from the observation oriented Empathise phase include:

Space Saturate and Group and Affinity Diagrams – Clustering and Bundling Ideas and Facts

In space saturate and group, designers collate their observations and findings into one place, to create a collage of experiences, thoughts, insights, and stories. The term 'saturate' describes the way in which the entire team covers or saturates the display with their collective images, notes, observations, data, experiences, interviews, thoughts, insights, and stories in order to create a wall of information to inform the problem-defining process. It will then be possible to draw connections between these individual elements, or nodes, to connect the dots, and to develop new and deeper insights, which help define the problem(s) and develop potential solutions. In other words: go from analysis to synthesis.

Empathy Mapping

An empathy map consists of four quadrants laid out on a board, paper or table, which reflect the four key traits that the users demonstrated/possessed during the observation stage. The four quadrants refer to what the users: Said , Did , Thought , and Felt . Determining what the users said and did are relatively easy; however, determining what they thought and felt is based on careful observation of how they behaved and responded to certain activities, suggestions, conversations etc. (including subtle cues such as body language displayed and the tone of voice used).

Point Of View – Problem Statement

A Point Of view (POV) is a meaningful and actionable problem statement, which will allow you to ideate in a goal-oriented manner. Your POV captures your design vision by defining the RIGHT challenge to address in the ideation sessions. A POV involves reframing a design challenge into an actionable problem statement. You articulate a POV by combining your knowledge about the user you are designing for, his or her needs and the insights which you’ve come to know in your research or Empathise mode. Your POV should be an actionable problem statement that will drive the rest of your design work.

You articulate a POV by combining these three elements – user, need, and insight. You can articulate your POV by inserting your information about your user, the needs and your insights in the following sentence:

[ User . . . (descriptive)] needs [ need . . . (verb)] because [ insight. . . (compelling)]

“How Might We” Questions

When you’ve defined your design challenge in a POV, you can start to generate ideas to solve your design challenge. You can start using your POV by asking a specific question starting with: “ How Might We ” or “in what ways might we”. How Might We ( HMW ) questions are questions that have the potential to spark ideation sessions such as brainstorms. They should be broad enough for a wide range of solutions, but narrow enough that specific solutions can be created for them. “How Might We” questions should be based on the observations you’ve gathered in the Empathise stage of the Design Thinking process.

For example, you have observed that youths tend not to watch TV programs on the TV at home, some questions which can guide and spark your ideation session could be:

How might we make TV more social, so youths feel more engaged?

How might we enable TV programs to be watched anywhere, at anytime?

How might we make watching TV at home more exciting?

The HMW questions open up to Ideation sessions where you explore ideas, which can help you solve your design challenge in an innovative way.

Why-How Laddering

"As a general rule, asking 'why’ yields more abstract statements and asking 'how’yields specific statements. Often times abstract statements are more meaningful but not as directly actionable, and the opposite is true of more specific statements." – d.school, Method Card, Why-How Laddering

For this reason, during the Define stage designers seek to define the problem, and will generally ask why . Designers will use why to progress to the top of the so-called Why-How Ladder where the ultimate aim is to find out how you can solve one or more problems. Your How Might We questions will help you move from the Define stage and into the next stage in Design Thinking, the Ideation stage, where you start looking for specific innovative solutions. In other words you could say that the Why-How Laddering starts with asking Why to work out How they can solve the specific problem or design challenge.

The Take Away

The second stage in a typical Design Thinking process is called the Define phase. It involves collating data from the observation stage (first stage called Empathise ) to define the design problems and challenges. By using methods for synthesising raw data into a meaningful and usable body of knowledge — such as empathy mapping and space saturate and group — we will be able to create an actionable design problem statement or Point of View that inspire the generation of ideas to solve it. The How Might We questions open up to Ideation sessions where you explore ideas, which can help you solve your design challenge in an innovative way.

References & Where to Learn More

Course: “Design Thinking - The Ultimate Guide” .

d.school: Space Saturation and Group .

d.school: Empathy Map .

d.school: “How might we” questions .

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Phases of Research

Each research project ordinarily moves in an orderly manner through several phases as shown in the following table reproduced from Chapter 2.

• Idea-generating phase: Identify a topic of interest to study.
• Problem-definition phase: Refine the vague and general idea that was generated in the previous step.
• Procedures-design phase: Decide on the specific procedures to be used in the gathering and statistical analysis of the data.
• Observation phase: Using the procedures devised in the previous step, collect your observations from the participants in your study.
• Data-analysis phase: Analyze the data collected above using appropriate statistical procedures.
• Interpretation phase: Compare your results with the results predicted on the basis of your theory. Do your results support the theory?
• Communication phase: Prepare a written or oral report of the study for publication or other presentation to colleagues. The report should include a detailed description of all of the above steps.

The following descriptions of actual studies identify the phases of each research project. These descriptions do not provide full details. They are intended only to illustrate the flow of the research process from the initial ideas to the final communication phase. The journal citation is provided for each study for those interested in the details. Note that the studies have been carried out at different levels of constraint as discussed in Chapter 2.

• STUDY 1. Children of Parents With Alcoholism
• STUDY 2: Doctor/Patient Conversations
• STUDY 3: Patterns of Commercial Robberies in the Netherlands
• STUDY 4: Can College Instructors Influence Evaluations by Students?
• STUDY 5: Playing is the Business of Children

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Phase 1 Process: Problem Definition, Design Specification

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Ma, Y., Rong, Y. (2022). Phase 1 Process: Problem Definition, Design Specification. In: Senior Design Projects in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-85390-7_5

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