
AI+ for Market Research
Uncover Insights Your Competitors Miss
Insight in days. Without the fabrication.
Your research timelines are shrinking while competitors get faster. The real cost isn't pace — it's compressing analysis time to hit deadlines, and insight quality is the first casualty. This book gives market researchers the 30-prompt Market Research Prompt Toolkit, a practical competitive intelligence framework, and clear guidance on where AI can be trusted and where it can't. Built by an AI engineering firm for researchers who know the client pays for the insight, not the data.
- 30 ready-made, market-tested prompts: research briefs, secondary research, competitor intelligence, survey and interview guides, qualitative analysis, recommendation framing
- A research synthesis workflow that compresses weeks of analysis into days — without surrendering insight to bland summary
- A secondary research and CI discipline that stays on the right side of ethics and professional standards
- A "so what?" framework that translates findings into recommendations decision-makers act on
- A 30-day plan for market researchers, brand managers, strategy consultants, CI professionals, and insight managers
Market researchers and research analysts; brand managers and product managers commissioning research; strategy consultants and business analysts conducting market assessments; competitive intelligence professionals; insight managers in agencies and client-side teams. Cross-industry: FMCG, technology, pharmaceuticals, financial services, government and public sector, media and entertainment. Anyone whose work involves understanding markets, customers, competitors, and trends.
Also for:Marketing professionals who need research skills to complement campaign strategy; MBA students and business students conducting market analysis; start-up founders doing customer discovery; consultants who need to scope and conduct research as part of project delivery.
- Define a research brief and sharpen research questions using AI as a thought partner
- Conduct secondary research and competitive intelligence gathering with AI tools, evaluating source reliability using the TRUST framework
- Design primary research instruments — surveys, interview guides, and discussion guides — with AI assistance
- Collect and manage research data efficiently using AI-assisted transcription, note-taking, and quality-checking
- Analyse qualitative and quantitative research data with AI, distinguishing genuine insight from AI-generated summary
- Synthesise findings into clear, compelling recommendations and present them to stakeholders
- Chapter 1
- AI in Market Research Right Now
- Chapter 2
- The Market Researcher's AI Toolkit
- Chapter 3
- Briefing and Scoping
- Chapter 4
- Secondary Research and Competitive Intelligence
- Chapter 5
- Designing Primary Research
- Chapter 6
- Fieldwork and Data Collection
- Chapter 7
- Analysis and Synthesis
- Chapter 8
- From Insights to Recommendations
- Chapter 9
- Ethics, Privacy and Research Integrity
- Chapter 10
- Your 30-Day Plan
- Back matter
- Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Built by an AI engineering firm — for researchers whose insight is the product, and whose statistics have to hold up under scrutiny.
Often packaged with this title.
T3-01 · Job SkillsAI+ for Academic Research
T3-72 · Job SkillsAI+ for Customer Research & Insight
T3-83 · Job SkillsAI+ for Systematic Literature Reviews
T3-85 · Job SkillsAI+ for Laboratory Research & Experimental Design
T3-81 · Job SkillsAI+ for Competitor Analysis
T3-82 · Job SkillsAI+ for Qualitative Research Methods
T3-84 · Job SkillsAI+ for Quantitative Research & Statistics
T3-86 · Job SkillsAI+ for Fieldwork & Ethnographic Research
