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Duration 14 hours
Course Outline
Introduction to Qwen Chat for Research Workflows
- Integrating Qwen Chat into intelligence processes
- Comparing AI-assisted versus manually executed research tasks
- Maintaining reliability and mitigating analytical errors
Prompt Engineering for Market Research
- Designing prompts to extract pertinent insights
- Regulating tone and ensuring analytical precision
- Controlling depth, scope, and specificity of outputs
Summarizing Industry Reports and Documents
- Methods for processing extensive reports
- Identifying key trends, metrics, and critical takeaways
- Producing concise, executive-ready summaries
Competitive Analysis with Qwen Chat
- Creating comparison matrices through effective prompting
- Highlighting strengths, weaknesses, and unique differentiators
- Drafting competitor briefs suitable for leadership review
Generating Business Intelligence Outputs
- Developing SWOT analyses and strategic overviews
- Drafting insights on opportunities and risks
- Creating reusable templates for BI tasks
Analyzing Market Data and Qualitative Inputs
- Extracting insights from qualitative sources
- Interpreting trends, customer sentiment, and market signals
- Synthesizing disparate information into coherent narratives
Workflow Integration and Best Practices
- Establishing repeatable AI-assisted research workflows
- Implementing quality control and verification methods
- Ensuring alignment with internal research standards
Ethics, Limitations, and Governance
- Managing confidentiality and responsible usage
- Recognizing model limitations in analytical contexts
- Applying human-in-the-loop validation
Summary and Next Steps
Requirements
- A foundational understanding of market research principles
- Proficiency with analytical or reporting software
- Awareness of core business strategy concepts
Target Audience
- Business analysts
- Market research teams
- Strategy, planning, and product management personnel