Consumer Insights Course

Lesson 1 • Defining Consumer Insights

Clarifies what constitutes a true consumer insight versus a data point or observation. Establishes the standard used throughout the course.

Lesson 2 • Consumer Behavior Fundamentals

Introduces psychological and social drivers of purchase decisions. Provides the behavioural science foundation needed for later research design.

Lesson 3 • Framing the Research Question

Teaches how to translate a business problem into a researchable question. Proper framing prevents wasted resources and misaligned findings.

Lesson 1 • Evaluating Source Quality

Provides criteria for assessing credibility, recency, and relevance of secondary sources. Builds critical judgment before data is incorporated into analysis.

Lesson 2 • Types of Secondary Data Sources

Catalogues internal databases, syndicated panels, public data, and industry reports. Understanding source types prevents misuse and misinterpretation.

Lesson 3 • Syndicated Research Platforms

Explores major consumer panel and tracking platforms and their data structures. Students learn to extract and interpret standardised consumer metrics.

Lesson 1 • In-Depth Interviews

Covers design, recruitment, and facilitation of one-on-one interviews. Students practice probing techniques that surface latent consumer needs.

Lesson 2 • Ethnography and Observation

Introduces observational methods including in-home visits and shop-alongs. Reveals behaviour gaps between what consumers say and what they do.

Lesson 3 • Principles of Qualitative Inquiry

Establishes when and why qualitative methods are appropriate. Contrasts exploratory depth with quantitative breadth to guide method selection.

Lesson 4 • Focus Groups and Group Dynamics

Teaches moderation skills and group dynamic management for focus groups. Addresses how social interaction shapes responses and how to mitigate bias.

Lesson 1 • Experimental and A/B Testing

Teaches controlled experiment design to establish causal consumer relationships. Connects experimental logic to real-world product and marketing tests.

Lesson 2 • Descriptive and Inferential Statistics

Builds statistical literacy needed to read and validate research outputs. Covers means, distributions, significance testing, and confidence intervals.

Lesson 3 • Survey Design Principles

Covers question types, scale construction, and questionnaire flow. Poor survey design is the leading cause of unreliable consumer data.

Lesson 4 • Advanced Quantitative Techniques

Introduces segmentation, regression, and conjoint analysis for deeper consumer measurement. Students learn when and how to commission these analyses.

Lesson 1 • Building Consumer Personas

Translates segment data into vivid, narrative personas used by cross-functional teams. Personas bridge research outputs and day-to-day business decisions.

Lesson 2 • Segmentation Strategy and Criteria

Defines segmentation bases including demographic, psychographic, behavioural, and needs-based. Criteria selection determines whether segments are actionable for the business.

Lesson 3 • Applying Segments Across the Business

Shows how segments inform targeting, portfolio strategy, and communication planning. Connects segmentation outputs to measurable business outcomes.

Lesson 1 • Core Behavioural Economics Concepts

Introduces heuristics, biases, and dual-process theory as they apply to consumer behaviour. Provides the conceptual vocabulary for the rest of the chapter.

Lesson 2 • Applying Behavioural Insights to Research

Integrates behavioural science into survey design, concept testing, and pricing research. Reduces the gap between stated and revealed consumer preferences.

Lesson 3 • Choice Architecture and Nudge Design

Teaches how context, framing, and defaults shape consumer decisions. Students design choice environments that align consumer behaviour with business goals.

Lesson 1 • The Anatomy of a Strong Insight

Deconstructs what makes an insight actionable, surprising, and credible. Applies a structured insight statement format used throughout the course.

Lesson 2 • Data Visualization for Insights

Covers chart selection, visual hierarchy, and annotation to make data persuasive. Visualisation choices directly affect how insights are received by stakeholders.

Lesson 3 • Crafting the Insights Narrative

Teaches story arc construction for research presentations using the situation-complication-resolution structure. Narrative framing drives stakeholder action.

Lesson 4 • Synthesis Frameworks and Tools

Introduces frameworks such as jobs-to-be-done, empathy mapping, and insight laddering. Frameworks accelerate pattern recognition across large data sets.

Lesson 1 • Consumer Insights in Innovation

Applies insights to opportunity identification, concept development, and product validation. Covers the full innovation funnel from unmet need to launch readiness.

Lesson 2 • Insights-Led Brand Strategy

Shows how consumer insights inform brand positioning, architecture, and communication strategy. Connects research outputs to brand equity metrics.

Lesson 3 • Building an Insights-Driven Organisation

Addresses how to embed consumer centricity into culture, processes, and governance. Organisational capability is the multiplier of individual research skill.