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Duration 14 hours
Course Outline
Introduction to Qwen Chat in Research Workflows
- Defining the role of Qwen Chat within intelligence processes
- Comparing AI-assisted research tasks with manual execution
- Maintaining reliability and avoiding common analytical errors
Prompt Engineering for Market Research
- Structuring prompts to extract pertinent insights
- Managing tone and ensuring 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 summaries suitable for executives
Competitive Analysis using Qwen Chat
- Creating comparison matrices through effective prompting
- Highlighting strengths, weaknesses, and unique differentiators
- Drafting competitor briefs for leadership review
Generating Business Intelligence Outputs
- Developing SWOT analyses and strategic overviews
- Formulating insights on opportunities and risks
- Building reusable templates for business intelligence tasks
Analyzing Market Data and Qualitative Inputs
- Extracting insights from qualitative data sources
- Interpreting trends, customer sentiment, and market signals
- Synthesizing fragmented data into coherent narratives
Workflow Integration and Best Practices
- Establishing consistent, AI-assisted research workflows
- Implementing quality control and verification methods
- Ensuring compliance with internal research standards
Ethics, Limitations, and Governance
- Managing confidentiality and promoting responsible usage
- Understanding model limitations in analytical scenarios
- Applying human-in-the-loop validation procedures
Summary and Next Steps
Requirements
- A solid grasp of fundamental market research principles
- Prior experience with analytical or reporting software
- Knowledge of core business strategy concepts
Target Audience
- Business analysts
- Market research teams
- Staff in strategy, planning, and product management