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Course Outline
Introduction to Qwen Chat for Research Workflows
- Defining the role of Qwen Chat within intelligence processes
- Comparing AI-assisted versus manually executed research tasks
- Ensuring data reliability and mitigating analytical errors
Prompt Engineering for Market Research
- Designing prompts to extract relevant insights
- Maintaining appropriate tone and analytical precision
- Controlling the depth, scope, and specificity of outputs
Summarizing Industry Reports and Documents
- Techniques for processing lengthy reports
- Identifying key trends, metrics, and critical takeaways
- Producing concise, executive-ready summaries
Competitive Analysis with Qwen Chat
- Constructing comparison matrices through strategic prompting
- Identifying 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 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 solid grasp of market research fundamentals.
- Practical experience with analytical or reporting tools.
- Knowledge of business strategy concepts.
Target Audience
- Business analysts.
- Market research teams.
- Strategy, planning, and product management staff.
14 Hours