About the Course
User Research & Customer Insights is an advanced programme designed to strengthen organisational capability in generating actionable insight through structured research methods.
Effective experience design and product decisions require more than assumptions; they demand disciplined research and evidence. This course equips participants with qualitative and quantitative research techniques to uncover user behaviour, motivations, and unmet needs.
The programme integrates research design, data interpretation, and insight translation to support evidence-based decision-making across product and service environments.
Course Benefits
- - Strengthen qualitative and quantitative research capability
- Improve quality and reliability of customer insight
- Translate research findings into strategic decisions
- Reduce bias and assumption-driven product choices
- Enhance confidence in evidence-led recommendations
Course Duration
5 Days (6 hours per day)
Who Is This Course For?
- - UX researchers and designers
- Product managers and innovation teams
- Marketing and customer experience professionals
- Digital transformation leaders
- Strategy and insight teams
Course Delivery
- - Research design workshops
- Interview and survey simulation exercises
- Case-based insight analysis
- Data interpretation exercises
- Applied frameworks to participants’ organisational contexts
Course Content
Day 1: Foundations of User Research
- - Understanding the role of research in product and service strategy.
- Distinguishing qualitative and quantitative research methods.
- Defining research objectives aligned with business goals.
- Avoiding common research biases and pitfalls.
Day 2: Qualitative Research Techniques
- - Designing structured interviews and focus groups.
- Conducting observational and usability research.
- Identifying behavioural patterns and motivations.
- Translating qualitative findings into actionable insights.
Day 3: Quantitative Research & Data Collection
- - Designing surveys and structured data collection tools.
- Evaluating sampling approaches and data reliability.
- Interpreting statistical outputs for decision-making.
- Strengthening evidence credibility.
Day 4: Insight Synthesis & Opportunity Framing
- • Synthesising research findings into clear narratives.
• Identifying unmet needs and opportunity spaces.
• Prioritising insights based on strategic impact.
• Communicating research findings effectively.
Day 5: Embedding Research into Decision Processes
- - Integrating insight into product and service roadmaps.
- Aligning research cycles with innovation processes.
- Measuring the impact of research-informed decisions.
- Building sustainable research capability across teams.
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