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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 avoiding analytical pitfalls.
Prompt Engineering for Market Research
- Structuring prompts to extract relevant insights.
- Managing tone and analytical precision.
- Controlling depth, scope, and specificity.
Summarizing Industry Reports and Documents
- Techniques for processing long reports.
- Extracting key trends, metrics, and 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 review.
Generating Business Intelligence Outputs
- Creating SWOT analyses and strategic snapshots.
- Drafting opportunity and risk insights.
- Developing reusable templates for BI tasks.
Analyzing Market Data and Qualitative Inputs
- Extracting insights from qualitative sources.
- Interpreting trends, customer sentiment, and signals.
- Synthesizing fragmented information into coherent narratives.
Workflow Integration and Best Practices
- Building repeatable AI-assisted research workflows.
- Quality control and verification techniques.
- Ensuring alignment with internal research standards.
Ethics, Limitations, and Governance
- Managing confidentiality and responsible use.
- Recognizing model limitations in analytical contexts.
- Applying human-in-the-loop validation.
Summary and Next Steps
Requirements
- Fundamental knowledge of market research principles.
- Practical experience with analytical or reporting tools.
- Familiarity with business strategy concepts.
Audience
- Business analysts.
- Market research teams.
- Strategy, planning, and product management personnel.
14 Hours
