FAQs

What is a Research Framework?

A research framework is a conceptual or methodological structure that guides the process of conducting research. It provides a systematic approach to defining research questions, gathering data, analyzing findings, and interpreting results. Research frameworks are essential tools for ensuring that research is coherent, logical, and aligned with its objectives. They serve as "blueprints" that help researchers organize their studies and make informed decisions throughout the research process.

Types of Research Frameworks

Research frameworks can vary depending on the discipline and purpose of the study. Some common types include:

Examples Relevant to Design and Business Students

For Design Students (Interiors, Architecture, Graphic Design):

  1. Double Diamond Framework (Design Thinking): Commonly used in design disciplines, this framework involves four stages—Discover, Define, Develop, and Deliver. It helps students approach problem-solving creatively by first understanding the problem deeply before ideating solutions.

  2. User-Centered Design (UCD): This framework emphasizes designing with the end-user in mind. It involves iterative stages of research, prototyping, and testing to ensure usability and satisfaction.

  3. Environmental Behavior Framework: In interior design or architecture, this framework examines how physical spaces influence human behavior—for instance, studying how lighting affects productivity in office spaces.

  4. Hook Model: In graphic or UX design, this framework focuses on creating habit-forming products by understanding triggers, actions, rewards, and investments.

For Business Students:

  1. SWOT Analysis: A strategic business framework that evaluates Strengths, Weaknesses, Opportunities, and Threats. Business students can use it to assess market conditions or organizational strategies.

  2. Business Model Canvas: This visual framework helps map out a company’s value proposition, target customers, revenue streams, and cost structure—ideal for entrepreneurship projects.

  3. Porter’s Five Forces: A tool for analyzing competitive forces in an industry—useful for MBA students studying market dynamics.

  4. Lean Startup Methodology: Focused on rapid experimentation and iteration to develop viable business models efficiently.

  5. PESTLE Analysis: This framework evaluates external factors—Political, Economic, Social, Technological, Legal, Environmental—that influence business operations.

Why Research Frameworks Matter

Research frameworks are crucial because they:

By incorporating frameworks into their projects, students can produce well-organized and impactful research that meets academic standards while addressing real-world challenges effectively.

What is Research Methodology?

Research methodologies are systematic approaches to conducting research that encompass specific procedures, methods, and techniques for data collection and analysis. Understanding different methodologies is crucial for conducting effective research in both design and business fields. Broadly speaking, research methodologies can be divided into three categories: quantitative, qualitative, and mixed-method.


Quantitative Methodologies

Experimental Research

Survey Research

Statistical Analysis


Qualitative Methodologies

Case Studies

Ethnographic Research

Phenomenological Research

Theoretical Research Methodology

Argumentative Qualitative Methodology


Mixed Methods

Design-Based Research

Action Research


Specific Applications

For Design Students

User Experience Research

Environmental Design Research

Visual Research

For Business Students

Market Research

Organizational Research


Data Collection Methods

Primary Research

Secondary Research


Analysis Techniques

Quantitative Analysis

Qualitative Analysis


Choosing a Methodology

When selecting a research methodology, consider:

  1. Research objectives and questions
  2. Nature of the problem being investigated
  3. Available resources and time constraints
  4. Target audience and stakeholders
  5. Required depth and breadth of analysis
  6. Type of data needed to support conclusions

The key is selecting methodologies that align with research goals while being practical and feasible within given constraints.