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Course Outline
Introduction to Qwen Chat in Research Workflows
- Integrating Qwen Chat into intelligence processes
- Comparing AI-assisted versus manual research tasks
- Maintaining reliability and sidestepping analytical errors
Prompt Engineering for Market Research
- Designing prompts to extract relevant insights
- Controlling tone and ensuring analytical precision
- Managing depth, scope, and specificity
Summarizing Industry Reports and Documents
- Strategies for processing lengthy reports
- Identifying key trends, metrics, and core takeaways
- Crafting concise, executive-level summaries
Conducting Competitive Analysis with Qwen Chat
- Creating comparison matrices through effective prompting
- Identifying strengths, weaknesses, and unique differentiators
- Drafting competitor briefs for leadership review
Producing Business Intelligence Outputs
- Generating 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
- Synthesizing disjointed information into coherent narratives
Workflow Integration and Best Practices
- Establishing repeatable AI-assisted research workflows
- Implementing quality control and verification methods
- Maintaining alignment with internal research standards
Ethics, Limitations, and Governance
- Handling confidentiality and ensuring responsible usage
- Awareness of 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
- Knowledge of core business strategy concepts
Target Audience
- Business analysts
- Market research teams
- Staff in strategy, planning, and product management
14 Hours