Evaluate / Testing and learning
Research for Design Thinking
Design research is the systematic investigation of people, experiences, behaviours and contexts to support innovation and decision-making.
Before you begin
Understanding People, Possibilities and Problems
Introduction
Great innovation rarely begins with a brilliant idea.
It begins with understanding.
Before products are designed, services are improved or strategies are developed, effective innovators invest time in research. They seek to understand people, contexts, behaviours, systems, motivations and opportunities. They recognise that assumptions are unreliable and that evidence provides a stronger foundation for decision-making.
Within the 5E Design Thinking Framework, research plays a particularly important role during the Engage and Evaluate stages. It helps innovators understand the people they serve, the challenges they face and the opportunities that may exist.
Research does not eliminate uncertainty.
It helps us navigate uncertainty more effectively.
The purpose of design research is not simply to gather information.
It is to generate understanding that leads to meaningful action.
What Is Design Research?
Design research is the systematic investigation of people, experiences, behaviours and contexts to support innovation and decision-making.
Unlike traditional academic research, which often seeks generalisable knowledge, design research focuses on practical understanding.
It aims to answer questions such as:
- Who are we designing for?
- What are people experiencing?
- What challenges exist?
- What needs remain unmet?
- What opportunities should we explore?
Design research helps innovators move beyond assumptions and develop evidence-informed insights.
Why Research Matters
Without research, teams often rely on:
- Opinions
- Assumptions
- Organisational beliefs
- Internal perspectives
These can be valuable starting points, but they rarely provide a complete understanding of reality.
Research helps teams:
- Understand users
- Identify opportunities
- Validate assumptions
- Reduce uncertainty
- Generate insights
- Improve innovation outcomes
Good research increases confidence while revealing areas that require further exploration.
Human-Centred Research
Design thinking emphasises a human-centred approach.
This means innovation begins with people rather than solutions.
Questions include:
- What are people trying to achieve?
- What frustrations do they experience?
- What motivates them?
- What matters to them?
- What outcomes do they value?
Human-centred research encourages empathy and understanding.
Rather than designing for people, innovators learn with people.
The Research Process
Although approaches vary, many design research projects follow a similar structure.
Define the Purpose
Clarify what you want to learn.
Examples include:
- Understanding user experiences
- Exploring unmet needs
- Investigating stakeholder perspectives
- Identifying opportunity areas
Clear research goals improve focus.
Develop Research Questions
Research questions guide investigations.
Examples include:
- How do students experience project-based learning?
- What challenges do customers encounter during onboarding?
- How do employees collaborate across departments?
Good questions encourage exploration rather than confirmation.
Select Appropriate Methods
Different questions require different methods.
Potential methods include:
- Interviews
- Observation
- Surveys
- Workshops
- Diary studies
- Journey mapping
Method selection should align with research objectives.
Collect Data
Gather evidence systematically.
Focus on:
- Experiences
- Behaviours
- Insights
- Observations
- Perspectives
Documentation is critical.
Analyse Findings
Identify:
- Patterns
- Themes
- Opportunities
- Contradictions
- Insights
Analysis transforms information into understanding.
Share and Apply Insights
Research should inform decision-making.
Insights become valuable when they influence action.
Qualitative Research
Qualitative methods explore experiences, meanings and behaviours.
They help answer:
- Why?
- How?
- What does this mean?
Common methods include:
- Interviews
- Observation
- Ethnography
- Diary studies
Qualitative research provides depth and context.
Quantitative Research
Quantitative methods focus on measurement.
They help answer:
- How many?
- How often?
- How much?
Examples include:
- Surveys
- Analytics
- Usage data
- Performance metrics
Quantitative methods reveal scale and patterns.
Mixed Methods Research
Many innovation projects combine qualitative and quantitative approaches.
For example:
Survey
Identifies patterns across a large group.
Interviews
Explain why those patterns exist.
Combining methods often creates richer understanding.
Research Planning
Research should be intentional rather than improvised.
A research plan typically includes:
Research Objectives
What do we need to learn?
Research Questions
What will we investigate?
Participants
Who should be involved?
Methods
How will information be gathered?
Timeline
When will activities occur?
Ethics
How will participants be protected?
Planning improves quality and consistency.
Participant Recruitment
Research depends on participants.
Effective recruitment considers:
Relevance
Participants should connect to the challenge.
Diversity
Different perspectives improve understanding.
Accessibility
Participation should be straightforward.
Representation
Include voices that may otherwise be overlooked.
The quality of insights often depends on the quality of participant selection.
Interview Research
Interviews remain one of the most valuable design research methods.
They allow researchers to explore:
- Experiences
- Motivations
- Beliefs
- Frustrations
- Aspirations
Strong interviews prioritise listening rather than leading.
Observation Research
Observation helps researchers understand behaviour directly.
Benefits include:
- Revealing workarounds
- Identifying hidden needs
- Exploring context
- Capturing real-world behaviour
People do not always do what they say they do.
Observation helps bridge this gap.
Contextual Research
Context shapes behaviour.
Research conducted in natural environments often reveals insights unavailable through interviews alone.
Examples include:
- Students studying
- Customers using services
- Employees completing tasks
Understanding context improves understanding of behaviour.
Surveys
Surveys help gather information from larger groups.
They are particularly useful when exploring:
- Preferences
- Satisfaction
- Perceptions
- Behaviours
However, surveys should complement rather than replace deeper methods.
They explain what is happening more effectively than why it is happening.
Journey Research
Experiences unfold over time.
Journey-focused research examines:
- Touchpoints
- Emotions
- Actions
- Frustrations
- Opportunities
Journey mapping helps visualise experiences and identify intervention points.
Participatory Research
Participatory approaches involve people directly in the research process.
Examples include:
Co-Design Workshops
Participants help generate solutions.
Collaborative Mapping
Participants help visualise systems.
Community Engagement
Stakeholders actively contribute.
Participation often produces richer insights and stronger ownership.
Research Ethics
Ethics should guide every research activity.
Key principles include:
Informed Consent
Participants understand the purpose of the research.
Respect
Participants are treated fairly and professionally.
Privacy
Sensitive information is protected.
Transparency
Researchers communicate honestly.
Responsibility
Findings are used appropriately.
Good innovation should never come at the expense of ethical practice.
Research Bias
Bias can influence every stage of research.
Common forms include:
Confirmation Bias
Seeking evidence that supports existing beliefs.
Selection Bias
Engaging only certain participant groups.
Interviewer Bias
Influencing responses unintentionally.
Interpretation Bias
Seeing what we expect to see.
Awareness helps reduce these risks.
Triangulation
Triangulation involves combining multiple sources of evidence.
Examples include:
- Interviews
- Observation
- Surveys
- Analytics
When findings align across methods, confidence increases.
Triangulation strengthens validity.
Research Analysis
Research becomes valuable through interpretation.
Analysis often involves:
Affinity Mapping
Grouping related observations.
Thematic Analysis
Identifying recurring themes.
Pattern Recognition
Finding consistent behaviours.
Opportunity Identification
Exploring possibilities for innovation.
Analysis transforms information into insight.
Research in Education
Educational research may investigate:
- Student engagement
- Learning experiences
- Assessment challenges
- Digital learning
- Collaboration
Educational innovation depends heavily on understanding learner experiences.
Research in Entrepreneurship
Entrepreneurs use research to:
- Understand customers
- Explore opportunities
- Test assumptions
- Reduce uncertainty
Successful ventures often begin with strong customer understanding.
Research in Organisational Innovation
Organisations use research to explore:
- Employee experiences
- Service performance
- Customer needs
- Organisational culture
- Transformation initiatives
Research helps guide change and improve decision-making.
Research and Design Thinking
Research is not a separate activity from design thinking.
It supports:
Engage
Understanding people.
Evaluate
Understanding problems.
Explore
Generating opportunities.
Expand
Testing assumptions.
Execute
Evaluating impact.
Research contributes throughout the innovation journey.
Common Research Mistakes
Starting With Solutions
Research should explore before concluding.
Leading Participants
Questions should remain neutral.
Ignoring Context
Behaviour is shaped by environments.
Focusing Only on One Method
Multiple methods create richer understanding.
Collecting Data Without Analysis
Research is valuable only when meaning is created.
OpenStudios Activity
Design Research Sprint
Objective
Learn directly from users.
Instructions
- Define a research question.
- Recruit five participants.
- Conduct interviews.
- Observe behaviours.
- Generate insights.
- Create opportunity statements.
Expected Outcome
Evidence-based opportunities for innovation.
Estimated Time
One week.
OpenStudios Challenge
Select a current project.
Develop a simple research plan including:
- Three research questions
- Five participants
- Two research methods
- Three expected insights
Conduct the research and compare expectations with findings.
Reflection Questions
- What assumptions are influencing your project?
- What evidence supports those assumptions?
- Which voices are missing?
- What research methods are most appropriate?
- How will insights influence decisions?
Key Takeaways
- Research creates understanding.
- Design research is human-centred.
- Qualitative and quantitative methods complement one another.
- Ethics matter.
- Multiple methods strengthen confidence.
- Insight emerges through analysis.
- Research reduces uncertainty.
- Better understanding supports better innovation.
Your Next Step
Identify one major assumption within your current project and design a small research activity to test it. Focus on learning rather than validation. The most valuable research often reveals something unexpected.