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Course Outline
Introduction to Qwen Chat for Research Workflows
- Positioning Qwen Chat within intelligence processes.
- Distinguishing between AI-assisted and manually executed research tasks.
- Ensuring reliability and avoiding analytical pitfalls.
Prompt Engineering for Market Research
- Structuring prompts to extract relevant insights effectively.
- Managing tone and maintaining analytical precision.
- Controlling the depth, scope, and specificity of outputs.
Summarizing Industry Reports and Documents
- Techniques for efficiently processing long-form reports.
- Extracting key trends, metrics, and critical takeaways.
- Crafting concise, executive-ready summaries.
Competitive Analysis with Qwen Chat
- Building comparison matrices through effective prompting.
- Highlighting strengths, weaknesses, and key differentiators.
- Drafting competitor briefs suitable for leadership review.
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 promoting responsible use.
- Recognizing model limitations in analytical contexts.
- Applying human-in-the-loop validation.
Summary and Next Steps
Requirements
- A 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.
- Staff in strategy, planning, and product management.
14 Hours
