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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
- Ensuring reliability and mitigating analytical risks
Prompt Engineering for Market Research
- Structuring prompts to effectively extract relevant insights
- Managing tone and maintaining analytical precision
- Controlling depth, scope, and specificity
Summarizing Industry Reports and Documents
- Techniques for processing lengthy reports
- Identifying key trends, metrics, and critical takeaways
- Creating concise, executive-ready summaries
Competitive Analysis with Qwen Chat
- Constructing comparison matrices through strategic prompting
- Highlighting strengths, weaknesses, and unique differentiators
- Drafting competitor briefs suitable for leadership review
Generating Business Intelligence Outputs
- Developing SWOT analyses and strategic snapshots
- Drafting 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 data 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 foundational grasp of market research principles
- Practical experience with analytical or reporting software
- Knowledge of core business strategy concepts
Target Audience
- Business analysts
- Market research teams
- Staff in strategy, planning, and product management
14 Hours