In the competitive world of business, where projects often face tight deadlines, budget constraints, and market pressures, the ability to make informed, strategic decisions is critical. Research is a powerful tool that equips project managers with the knowledge and insights needed to navigate these challenges effectively, ensuring the success and sustainability of their projects.
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A prime example of research saving a business project is discussed by David Robertson in his book Brick by Brick. The book highlights the importance of research in LEGO’s innovation strategies[1]. |
LEGO, a beloved toy company, found itself struggling with declining sales, increased competition, and an overextended product line that diluted its brand identity. To address these issues, LEGO conducted extensive research into its customer base, analyzing market trends, consumer preferences, and the play habits of children. This research led to a strategic overhaul, where LEGO refocused on its core products —brick-based construction sets— and aligned its offerings more closely with the interests of its customers.
Leveraging insights collected by research helped LEGO and many other companies to streamline its product line and improve marketing strategies. The result was a dramatic turnaround, transforming these companies from a business on the brink of financial ruin into one of the most successful and iconic brands in the world.
This example illustrates how a deep understanding of market dynamics and consumer behavior can inform strategic decisions that not only rescue struggling projects but also propel them to new heights. In this article, we will explore the essential role of research in project management, examining how it enhances decision-making, fosters innovation, and ensures the viability and success of projects at every stage.
Why Research at All?
Research can have an enormous benefit on a project. Let’s discuss what it brings to the table and how to ensure project success. This diagram represents why project managers must research.
Let’s discuss these reasons in more detail to build a better understanding of what they entail.
- Increased knowledge repository: Researching new avenues and possibilities can expand the body of knowledge with new insights, discoveries, and information. This deepens the pool of understanding and makes the project much more adapted to deal with complex problems. Through clinical trials and drug research, Pfizer made significant advancements in developing cures for COVID and many other diseases. This is just one company that personified knowledge expansion; as a result, we all benefitted.
- Problem-solving capabilities and innovation: Research grants project managers the ability to develop their knowledge and innovate beyond it. It can help identify new solutions and develop innovative approaches that can address complex issues. For instance, Tesla invests heavily in researching battery technology, automatic driving systems, and electric vehicle design to bring something new and innovative to the mainstream.
- Informed decision-making: Research helps build a solid foundation from which project managers can make proper decisions. Data-driven insights can make forming effective and viable strategies easier and bypass risks. An international consulting firm, McKinsey & Company, is the master of this. They provide fact-backed insights to their clients and help them make informed decisions.
- Improving practices and policies: Research can help a firm identify gaps and plug them by implementing better policies. This makes the firm, and as a result, the projects they carry out more viable. Apple’s motto of constant innovation is a good example of doing research right.
- Improving social and economic impact: A project must ensure that the stakeholders are not harmed in any way. As such, there is an increasing focus on how the social and economic impact of projects is assessed. However, careful research, as exemplified by Proctor and Gamble, can mitigate harsh impacts. Research in skincare and hygiene, for instance, has led to the creation of much cleaner and healthier goods with fewer side effects.
Research Design and Data
Before the project manager can begin its research, it must choose a research design. This framework allows the research to be performed and provides the desired results. Keep in mind that the choice of design is not just about preference. Rather, choosing a design that is relevant to the data the project requires is crucial. The choice of research design will decide what type of data will be collected. Here are some research designs and what they entail.
Qualitative Designs
Qualitative research involves understanding the deeper meaning behind phenomena. It requires analyzing the perspectives and experiences of participants in social contexts. Interviews, surveys, and observation methods are used to gather qualitative data.
In terms of project management, qualitative research design can be invaluable when conducting market analysis. Asking potential customers about their experiences and tastes and assessing themes can tell you how the project results will be viewed and how they should solve problems.
Quantitative Designs
Quantitative research design is more numeric in nature. It involves collecting data using statistical analysis and examining trends, relationships, and patterns. It focuses on objective results based on measurement data. As such, data is gathered using surveys, experiments, statistical modeling, and similar methods.
An example of a project using quantitative data is lean management. Lean management requires eliminating wastage and optimizing processes. As such, you can conduct quantitative data to analyze how much time each activity takes and reduce it further based on the data.
Research Methods and Collecting Data
When you understand what type of data to collect, you have to decide how to go about it. There are two types of research methods, each with its own set of data collection methods. Primary research and secondary research differ considerably in how they deal with data and how it is gathered. Here is what they entail.
Primary Research Methods
Primary research methods involve collecting original data directly from the sources. Researchers typically gather data firsthand with information tailored to the specific objective. This data can take a long time to gather and analyze. Furthermore, it is also expensive to conduct as well. However, its results are much more reliable, relevant, and valid. Here are some methods of collecting primary data.
- Surveys: In surveys, researchers collect data from a sample of individuals representing the total population. They are conducted using questionnaires that participants are requested to fill out. The insights they share can tell a lot about the attitudes, opinions, behaviors, and characteristics of the entire population. Surveys can be great for researching the pain points of stakeholders and analyzing their problems. As such, this can help build a better understanding of what they expect and demand. The project can then be made to cater to them more effectively.
- Interviews: Interviews involve directly interacting with participants to gain a deeper insight into their feelings, thoughts, and opinions. They can provide new insights into attitudes and behaviors as well as showcase potential avenues of progress. Interviews are effective when a company needs to evaluate the cultural and social impact of a new project. This is because interviews can offer in-depth insights into people’s thoughts and values. Done right, this research method can be beneficial in risk management.
- Observations: Observations are much more passive than other primary research methods. They involve systematically watching and recording events, behaviors, or phenomena without intervening. Researchers can gather real-time data and find new insights into their population by simply observing them. This research method is highly useful when you want to understand the default natural behavior of a population. Since this method is often seamless in its data collection, it often gives better insights into the behavior patterns of individuals. Social experiments typically fall into this category.
- Experiments: Experimental research involves manipulating variables and comparing groups of participants to determine relationships. Variables are assessed and analyzed to understand how they can interact with each other and affect processes. This research involves the random assignment of participants into control and experimental groups. The control group is observed only, but the experimental group undergoes a certain change. The difference between the groups exhibits the relationship and provides the result. This type of research is used in pharmaceutical research projects. This is because any new drug or product needs to be carefully assessed to determine its effects. Experimentation provides a consistent way to measure results and underline potential risks.
Secondary Research Methods
Secondary research methods involve using and collecting existing data to make informed decisions. This data is not collected directly by the researcher but is collected by others. The researcher only analyzes and interprets it to suit the objectives of the project. This method can be quicker and cheaper than primary research methods. However, since it is not tailor-made for the project objectives, the results may not be as accurate or relevant. Regardless, collecting secondary data in tandem with primary data is often the best way to go. Here are some methods to collect secondary data.
- Literature review: A literature review requires the researcher to analyze existing research articles and scholarly works on the topic at hand. It involves reviewing academic journals, books, and conference proceedings, identifying themes and relationships, and building a foundation for further research. A literature review is essential when conducting any research project because it lays the foundation and keeps you from starting from scratch. A thorough literature review can also highlight gaps in research that can potentially be explored further.
- Data mining: Data mining involves extracting patterns and insights from large datasets. Due to the technological progress seen in recent years, data mining has increased in prevalence and effectiveness. Using datasets, researchers can use data mining algorithms to identify relationships, trends, and correlations. This research method can be used effectively to monitor the progress and performance of apps. Since data can be easily gathered using information technology, researchers can use it to collect data, analyze it and make informed decisions.
- Systemic review and meta-analysis: Systematic review and meta-analysis are similar in many aspects. They involve systematically identifying, evaluating, and synthesis of relevant studies that address a specific question. This research method can be used to undertake feasibility studies since it provides an in-depth and comprehensive analysis of particular topics. You can use systemic review and meta-analysis to be the backbone for any sustainability assessments.
- Case studies: Case studies can provide an in-depth analysis of real-life events. As such, they provide a real and tangible insight into how things are, allowing firms and project managers to learn from them. While they are nowhere near as complicated or comprehensive as the other research methods, they are detailed enough to be useful and simple enough to be implemented at virtually all levels of a project. Common usage for case studies involves risk assessment research. Project managers and firms can learn a lot about the potential risks by evaluating how contemporary companies face them. Furthermore, case studies can also serve as a teaching tool for students by depicting real-world events and building a body of knowledge in various contexts.
Here is a short summary of what we learned through a simple diagram.
Case study – Mattel and Observation Done Right
Mattel, a globally recognized toy company, has built a reputation for creating toys that children adore. From iconic lines like Barbie to the high-speed thrills of Hot Wheels, Mattel consistently delivers products that resonate with kids. The secret behind their enduring success lies in their unique approach to product research, rooted in observing their core consumers —children— at play.
Mattel’s research approach
At the heart of Mattel’s research lies the Fisher-Price Play Lab, a research facility where the magic begins. This lab goes beyond typical testing grounds; it offers a space where Mattel’s researchers and designers engage in direct observation of children interacting with toys. The Play Lab simulates real-world environments such as homes, schools, and playgrounds, allowing researchers to witness firsthand how children naturally engage with toys. This method provides invaluable insights into the types of play that captivate children’s imaginations and what they seek more of in their toys.
Mattel’s researchers immerse themselves in the play experience, carefully studying how children create and navigate various play scenarios. The company identifies unmet needs and areas ripe for innovation, using these insights to guide the design and development of new toys, ensuring alignment with the evolving preferences of children.
Why it works!
Mattel’s emphasis on direct observation offers a powerful advantage: it taps into authentic play experiences, revealing children’s true desires and unmet needs. This research-driven approach has been the cornerstone of many of Mattel’s timeless toy lines. For instance, Barbie’s development went beyond creating a doll—it reflected an understanding of the aspirations and dreams of young girls. Similarly, Hot Wheels cars emerged from a deep comprehension of the thrill and excitement boys sought in their toys.
Continuous engagement with their core consumers ensures that Mattel’s products are not just toys but extensions of children’s imaginations. This strategy enables Mattel to stay ahead of trends, maintaining a deep connection with each new generation of young consumers.
Adapting to a Digital Age
In today’s digital age, where online games and content dominate children’s attention, Mattel faces new challenges. Traditional play methods evolve, and the company adapts to stay relevant. Recognizing this shift, Mattel expands its research approach to include digital play patterns, observing how children interact with digital content, online games, and virtual environments. This allows them to innovate in both physical and digital toy markets[2].
Watch the following video to learn how Mattel researches new ideas into their toys.
Conclusion
Research is a critical tool in project management, enabling informed decision-making, innovation, and risk mitigation. By integrating both qualitative and quantitative methods, project managers can gain valuable insights that drive project success. Real-world examples like LEGO and Mattel illustrate how research not only resolves challenges but also propels projects and companies toward greater achievements. Ultimately, effective use of research strengthens projects, ensuring long-term success and sustainability in a competitive business environment.
[1] Brick by Brick: How LEGO Rewrote the Rules of Innovation and Conquered the Global Toy Industry – link
