Design Science Research (DSR): DSR is a methodology focused on building and evaluating IT artifacts to solve identified organizational problems. It is commonly used in engineering, computer science, and information systems capstones. In DSR, students first identify and define a problem domain based on literature reviews and interviews. They then create an artifact like a software application, business process model, or algorithm. The artifact is rigorously evaluated and refined through iterative cycles of development, evaluation, and feedback. Students demonstrate how the artifact improves upon existing solutions in the problem domain.
Case Study: The case study methodology involves an in-depth exploration and analysis of a specific real-world event, process, organization, person, or other phenomenon of interest. Students select an organization or case to study, collect qualitative and quantitative data through methods like document analysis, surveys, interviews, and direct observation. The data is then rigorously analyzed using techniques like coding, matrices, and process tracing. Students identify key themes, develop evidenced conclusions, and make recommendations informed by the case analysis. Case studies are often used in business, public policy, and social science capstones.
Experimental Research: Experimental research involves the manipulation of an independent variable and observation of its effect on a dependent variable within a controlled environment. Students formulate hypotheses based on theories, conduct literature reviews, and develop a research design involving manipulated variables and control groups. Human subjects or analog systems are then exposed to different conditions of the independent variable. Dependent variables are measured and results statistically analyzed. Experimental research is common in science, technology, engineering and mathematics capstones to test causal relationships and advance scientific knowledge.
Systems Analysis: Systems analysis involves understanding a system as a complex whole comprised of interconnected and interdependent subsystems. Students identify the components, relationships, environment, and boundaries of the overall system through problem definition, data collection, process mapping, and model building. Both qualitative and quantitative techniques are used to analyze how well the system is currently functioning and identify areas for improvement. Recommendations target optimization or redesign of system processes, information flows, tasks, and technologies based on performance criteria. Systems analysis is frequently employed in engineering, computer science and business administration capstones.
Design Thinking: Design thinking provides a human-centered, solutions-focused approach to problem-solving through empathy, ideation, rapid prototyping and testing. Students start by deeply understanding user needs through immersive research techniques like ethnographic field studies and interviews. They then synthesize findings to define the design challenge and identify insights. Ideas are rapidly generated, refined and translated into rough prototypes which are evaluated through user testing. Prototypes undergo iterative improvement based on feedback until a final optimal design is determined. Design thinking is used in product design, IT, healthcare and public policy capstones to develop innovative solutions to complex problems.
Program Evaluation: Program evaluation assesses the design, implementation, and outcomes of intervention programs, policies or initiatives. Students work with a client organization to clarify the intended goals, theory of change and target populations/stakeholders of a given program. Mixed methods are used to collect data on program operations, quality, reach and early signs of impact or results. Students then analyze, interpret and synthesize findings to make judgments about program effectiveness, efficiency, relevance and sustainability. Recommendations target ways to improve program performance, demonstrate impacts or inform future efforts. Program evaluation is utilized in community development, education and social sciences capstones.
Action Research: Action research embedded students directly into an organization to collaboratively solve problems through iterative cycles of planning, action and fact-finding about the results of actions. Students work closely with organizational stakeholders to identify priorities and feasible areas for improvement projects. Simple interventions are planned and implemented on a small scale, followed by systematic collection of both qualitative and quantitative data to analyze what happened as a result. Findings are reflected upon to inform the next cycle of planning, action and data gathering until satisfactory solutions emerge. Action research reinforces academic learning through authentic collaboration with industry to address real organizational issues faced across many disciplines.
This covers some of the most widely-used methodologies seen in capstone projects across disciplines, with details about the defining characteristics, processes and purpose of each approach. All of these methodologies rigorously apply research-backed techniques to investigate phenomena and address practical problems through evidence-based solutions. Students benefit from gaining applied experience with these industry-standard methods for tackling complex challenges through disciplined inquiry.