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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 avoiding analytical errors
Prompt Engineering for Market Research
- Designing prompts to extract relevant insights
- Managing tone and ensuring analytical precision
- Controlling depth, scope, and specificity
Summarizing Industry Reports and Documents
- Methods for processing lengthy reports
- Identifying key trends, metrics, and key takeaways
- Producing concise, executive-ready summaries
Competitive Analysis with Qwen Chat
- Creating comparison matrices through effective prompting
- Identifying strengths, weaknesses, and unique differentiators
- Preparing competitor briefs for leadership review
Generating Business Intelligence Outputs
- Developing SWOT analyses and strategic overviews
- Outlining 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 information into cohesive 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 promoting responsible use
- Understanding model limitations in analytical settings
- Applying human-in-the-loop validation processes
Summary and Next Steps
Requirements
- A solid grasp of fundamental market research principles
- Practical experience 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
14 Hours
