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Course Outline
Introduction to Qwen Chat for Research Workflows
- Positioning Qwen Chat within intelligence processes
- AI-assisted vs manually executed research tasks
- Ensuring reliability and avoiding analytical pitfalls
Prompt Engineering for Market Research
- Structuring prompts for extracting relevant insights
- Managing tone and analytical precision
- Controlling depth, scope, and specificity
Summarizing Industry Reports and Documents
- Techniques for processing long reports
- Extracting key trends, metrics, and takeaways
- Creating concise executive-ready summaries
Competitive Analysis with Qwen Chat
- Building comparison matrices through prompting
- Highlighting strengths, weaknesses, and differentiators
- Drafting competitor briefs for leadership use
Generating Business Intelligence Outputs
- Creating SWOT analyses and strategic snapshots
- Drafting opportunity and risk insights
- Developing reusable templates for BI tasks
Analyzing Market Data and Qualitative Inputs
- Extracting insights from qualitative sources
- Interpreting trends, customer sentiment, and signals
- Synthesizing fragmented information into coherent narratives
Workflow Integration and Best Practices
- Building repeatable AI-assisted research workflows
- Quality control and verification techniques
- Ensuring alignment with internal research standards
Ethics, Limitations, and Governance
- Managing confidentiality and responsible use
- Recognizing model limitations in analytical contexts
- Applying human-in-the-loop validation
Summary and Next Steps
Requirements
- A foundational understanding of market research principles
- Prior experience with analytical or reporting tools
- Familiarity with core business strategy concepts
Audience
- Business analysts
- Market research teams
- Staff in strategy, planning, and product management roles
14 Hours
