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Course Outline
Introduction to Qwen Chat for Research Workflows
- Positioning Qwen Chat within intelligence processes
- Comparing AI-assisted versus manually executed research tasks
- Maintaining reliability and avoiding analytical pitfalls
Prompt Engineering for Market Research
- Structuring prompts to extract relevant insights
- Managing tone and ensuring analytical precision
- Controlling depth, scope, and specificity
Summarizing Industry Reports and Documents
- Techniques for processing long-form reports
- Identifying key trends, metrics, and core takeaways
- Creating concise, executive-ready summaries
Competitive Analysis with Qwen Chat
- Building comparison matrices through strategic prompting
- Highlighting strengths, weaknesses, and key differentiators
- Drafting competitor briefs suitable for leadership consumption
Generating Business Intelligence Outputs
- Developing SWOT analyses and strategic snapshots
- Formulating insights on opportunities and risks
- Creating reusable templates for BI tasks
Analyzing Market Data and Qualitative Inputs
- Extracting insights from qualitative 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 techniques
- Ensuring alignment with internal research standards
Ethics, Limitations, and Governance
- Managing confidentiality and promoting responsible use
- Recognizing model limitations in analytical contexts
- Applying human-in-the-loop validation
Summary and Next Steps
Requirements
- A solid grasp of market research fundamentals
- Experience using analytical or reporting tools
- Familiarity with core business strategy concepts
Target Audience
- Business analysts
- Market research teams
- Strategy, planning, and product management staff
14 Hours