Start hereAI for Market Research Analysts
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AI for Market Research Analysts (Prompt Course)
15 lessons · 251 prompts
A day in the life of a Market Research Analyst: what changes with these prompts.
Track progress as a memberStart producing credible market insights with AI-driven prompt workflows
What you'll learn
- How to plan AI-assisted research: define goals, hypotheses, and decision criteria before prompting.
- How to set up context: specify target markets, customer profiles, timeframes, and constraints so outputs are relevant and consistent.
- How to run analyses across key research areas: industry trends, consumer insights, competitor profiling, segmentation, product feedback, pricing, survey work, brand tracking, sales forecasting, campaign assessment, social media signals, macroeconomic effects, customer lifecycle mapping, new market entry, and product development.
- How to structure prompts for rigorous outputs: summaries, evidence trees, pros/cons, scenarios, sensitivity checks, and recommendations with rationale.
- How to request machine-readable formats for easier handoff: outlines, bullet hierarchies, CSV-ready tables, and JSON-like structures.
- How to iterate efficiently: diagnose weak outputs, tune constraints, add counterfactuals, and compare alternative frames.
- How to validate quality: cross-check claims, pressure-test assumptions, and document sources, caveats, and confidence ratings.
- How to integrate with your tools: spreadsheets, BI dashboards, CRM notes, and research repositories for repeatable workflows.
How this course works
- 15 lessonsOne task of your job each, from industry trend analysis to product development insights.
- Ready-to-paste promptsCopy, fill in the parts in {{brackets}}, paste into ChatGPT, Claude or Gemini.
- Tick and completeTick the prompts you tried and mark each lesson complete.
- Get certifiedFinish with the exam and a certificate for LinkedIn.