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Duration 14 hours
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 reliability and mitigating analytical errors
Prompt Engineering for Market Research
- Crafting prompts to effectively extract relevant insights
- Managing tone and maintaining analytical precision
- Regulating depth, scope, and specificity
Summarizing Industry Reports and Documents
- Strategies for processing lengthy reports
- Identifying key trends, metrics, and critical takeaways
- Producing concise summaries suitable for executive review
Competitive Analysis with Qwen Chat
- Constructing comparison matrices via strategic prompting
- Highlighting strengths, weaknesses, and unique differentiators
- Drafting competitor briefs tailored for leadership consumption
Generating Business Intelligence Outputs
- Developing SWOT analyses and strategic snapshots
- Drafting insights on opportunities and risks
- Creating reusable templates for BI-related 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
- Developing repeatable AI-assisted research workflows
- Implementing quality control and verification techniques
- Ensuring consistency with internal research standards
Ethics, Limitations, and Governance
- Managing confidentiality and promoting responsible usage
- Acknowledging model limitations in analytical contexts
- Applying human-in-the-loop validation methods
Summary and Next Steps
Requirements
- A foundational grasp of market research principles
- Proficiency with analytical or reporting tools
- Knowledge of core business strategy concepts
Target Audience
- Business analysts
- Market research teams
- Professionals in strategy, planning, and product management