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Course Outline
Introduction to Qwen Chat for Research Workflows
- Defining the role of Qwen Chat within intelligence processes
- Comparing AI-assisted and manually executed research tasks
- Maintaining reliability and mitigating analytical errors
Prompt Engineering for Market Research
- Designing prompts to effectively extract relevant insights
- Controlling tone and ensuring analytical precision
- Managing the depth, scope, and specificity of outputs
Summarizing Industry Reports and Documents
- Methods for processing lengthy reports
- Identifying key trends, metrics, and critical takeaways
- Producing concise summaries suitable for executives
Competitive Analysis with Qwen Chat
- Creating comparison matrices through effective prompting
- Identifying strengths, weaknesses, and key differentiators
- Drafting competitor briefs for leadership review
Generating Business Intelligence Outputs
- Developing SWOT analyses and strategic overviews
- Drafting insights on opportunities and risks
- Creating reusable templates for BI tasks
Analyzing Market Data and Qualitative Inputs
- Deriving insights from qualitative sources
- Interpreting trends, customer sentiment, and market signals
- Combining fragmented information into coherent narratives
Workflow Integration and Best Practices
- Establishing consistent, AI-assisted research workflows
- Implementing quality control and verification techniques
- Ensuring alignment with internal research standards
Ethics, Limitations, and Governance
- Maintaining confidentiality and promoting responsible usage
- Understanding model limitations in analytical scenarios
- Applying human-in-the-loop validation methods
Conclusion and Next Steps
Requirements
- A solid grasp of market research basics
- Practical experience with analytical or reporting tools
- Knowledge of business strategy concepts
Target Audience
- Business analysts
- Market research teams
- Staff in strategy, planning, and product management
14 Hours