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Course Outline
Introduction to Qwen Chat for Research Workflows
- Defining Qwen Chat’s role within intelligence processes
- Distinguishing AI-assisted research tasks from manual execution
- Ensuring reliability and mitigating analytical errors
Prompt Engineering for Market Research
- Crafting prompts to extract pertinent insights
- Maintaining tone and analytical precision
- Regulating depth, scope, and specificity
Summarizing Industry Reports and Documents
- Methods for handling lengthy reports
- Identifying key trends, metrics, and core takeaways
- Producing concise, executive-ready summaries
Competitive Analysis with Qwen Chat
- Creating comparison matrices via prompting
- Identifying strengths, weaknesses, and key differentiators
- Drafting competitor briefs for leadership review
Generating Business Intelligence Outputs
- Constructing SWOT analyses and strategic overviews
- Drafting insights on opportunities and risks
- Developing reusable templates for BI tasks
Analyzing Market Data and Qualitative Inputs
- Deriving insights from qualitative data sources
- Interpreting trends, customer sentiment, and market signals
- Synthesizing fragmented information into coherent narratives
Workflow Integration and Best Practices
- Building repeatable AI-assisted research workflows
- Implementing quality control and verification methods
- Ensuring compliance with internal research standards
Ethics, Limitations, and Governance
- Managing confidentiality and promoting responsible usage
- Recognizing model limitations in analytical settings
- Applying human-in-the-loop validation
Summary and Next Steps
Requirements
- A solid grasp of market research fundamentals
- Practical experience with analytical or reporting tools
- Familiarity with core business strategy concepts
Target Audience
- Business analysts
- Market research teams
- Staff in strategy, planning, and product management
14 Hours