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Duration 14 hours
Course Outline
Introduction to Qwen Chat in Research Workflows
- Defining the role of Qwen Chat in intelligence processes
- Contrasting AI-assisted versus manual research tasks
- Maintaining reliability and mitigating analytical risks
Prompt Engineering for Market Research
- Designing prompts to extract relevant insights
- Managing tone and ensuring analytical accuracy
- Controlling the depth, scope, and specificity of outputs
Summarizing Industry Reports and Documents
- Methods for processing lengthy reports
- Identifying key trends, metrics, and critical takeaways
- Producing concise, executive-ready summaries
Competitive Analysis with Qwen Chat
- Creating comparison matrices via prompting
- Highlighting strengths, weaknesses, and key differentiators
- Drafting competitor briefs suitable for leadership review
Generating Business Intelligence Outputs
- Developing SWOT analyses and strategic overviews
- Formulating insights on opportunities and risks
- Creating reusable templates for BI tasks
Analyzing Market Data and Qualitative Inputs
- Deriving insights from qualitative data sources
- Interpreting trends, customer sentiment, and market signals
- Synthesizing fragmented data into coherent narratives
Workflow Integration and Best Practices
- Establishing repeatable, AI-assisted research workflows
- Implementing quality control and verification methods
- Ensuring compliance with internal research standards
Ethics, Limitations, and Governance
- Managing confidentiality and responsible usage
- Recognizing model limitations in analytical settings
- Applying human-in-the-loop validation protocols
Summary and Next Steps
Requirements
- A solid grasp of market research fundamentals
- Hands-on experience with analytical or reporting tools
- A basic understanding of business strategy concepts
Target Audience
- Business analysts
- Market research teams
- Strategy, planning, and product management professionals