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Duration 14 hours
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 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 lengthy reports
- Extracting key trends, metrics, and core takeaways
- Creating concise, executive-ready summaries
Competitive Analysis with Qwen Chat
- Building comparison matrices through prompting
- Highlighting strengths, weaknesses, and differentiators
- Drafting competitor briefs for leadership consumption
Generating Business Intelligence Outputs
- Creating SWOT analyses and strategic snapshots
- Drafting insights on opportunities and risks
- Developing 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 responsible usage
- Recognizing model limitations in analytical contexts
- Applying human-in-the-loop validation
Summary and Next Steps
Requirements
- Foundational understanding of market research principles
- Practical experience with analytical or reporting tools
- Familiarity with core business strategy concepts
Target Audience
- Business analysts
- Market research teams
- Strategy, planning, and product management professionals