Interactive Textbook Module Syllabus

The Marketing Research Process

Learn the seven-step research process that turns business uncertainty into actionable insight. Covers problem definition, research design types (exploratory, descriptive, causal), primary vs. secondary data, and ethics — with integrated discussion of how generative AI is transforming (and complicating) each step in 2026.

⏱️ ~65 min reading & interactives 📑 12 sections 🎓 Level: Intro / no prerequisites 📐 Math: No math 📚 Courses: Marketing Research Methods 🏷️ Topics: Research design

Chapter Section Outline (12 Sections)

Topics and managerial frameworks covered in The Marketing Research Process:

1. Why Marketing Research Still Matters (Even When You Have AI)
2. The Seven Steps of the Research Process
3. Step 1: Defining the Problem — The Most Important (and Most Skipped) Step
4. Step 2: Research Design — Exploratory, Descriptive, or Causal?
5. Choosing Your Research Design — A Decision Framework
6. Primary vs. Secondary Data: Build or Borrow?
7. Ethical Foundations: Research Ethics in the AI Era
8. The Research Supplier Ecosystem — Agencies, Panels, and Platforms
9. Case Application — SunRidge Organic Product Line Expansion Research
10. From Research Problem to Actionable Insight: Putting the Process Together
11. The Research Brief: Your North Star Document
12. What This Sets Up Next

Interactive Concept Mini-Widgets Embedded in This Chapter (4)

Students manipulate these interactive visual simulations directly inside the chapter reading before answering gated check-in questions:

The Iceberg: Symptom → Root Cause

A client hands you a visible SYMPTOM (the tip of the iceberg). The student taps the candidate root causes they'd investigate to send them beneath the surface, then chooses a research question at a fork: • a SYMPTOM-level question ("how far did sales fall?

Teaches: the same symptom sits atop several very different causes, and a study aimed at the symptom is precise but useless. Defining the research problem means going under the waterline.

Value-of-Information Gate

Three sliders (decision stakes, study cost, odds the findings change the decision) drive a live "Worth it? " gauge needle and a "Rough value of the study" readout.

Teaches: the value of research isn't in the answer — it's in whether the answer could change what you do. A study that can't change the decision is worthless no matter the stakes; a study that costs more than the decision is worth fails even at 100% confidence.

Hypothesis Builder

User selects a business scenario, then builds H₀ and H₁ step-by-step by choosing the variable, direction, and comparison. The tool checks for specificity, testability, and logical consistency.

Teaches: how to translate a management problem into formal null/alternative hypotheses — the critical bridge between "I wonder" and "let's test it."

Research Design Classifier

Presents 8 business scenarios as cards. User drags each card into one of three bins: Exploratory, Descriptive, or Causal.

Teaches: the critical distinction between exploratory, descriptive, and causal research designs — and *why* a given scenario calls for each type.