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Course Outline
Introduction to Qwen Chat for Research Workflows
- Defining the role of Qwen Chat within intelligence processes
- Comparing AI-assisted research tasks with manually executed ones
- Safeguarding reliability and mitigating common analytical errors
Prompt Engineering for Market Research
- Designing prompts to effectively extract relevant insights
- Maintaining appropriate tone and analytical precision
- Regulating the depth, scope, and specificity of outputs
Summarizing Industry Reports and Documents
- Methods for handling and processing lengthy reports
- Identifying and extracting key trends, metrics, and core takeaways
- Formulating concise, executive-level summaries
Competitive Analysis with Qwen Chat
- Constructing comparison matrices via effective prompting
- Identifying strengths, weaknesses, and key differentiators
- Drafting competitor briefs tailored for leadership consumption
Generating Business Intelligence Outputs
- Producing SWOT analyses and strategic overviews
- Drafting insights on opportunities and potential risks
- Creating reusable templates for business intelligence tasks
Analyzing Market Data and Qualitative Inputs
- Deriving insights from qualitative data sources
- Interpreting market trends, customer sentiment, and market signals
- Synthesizing disparate information into cohesive 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 data confidentiality and ensuring responsible usage
- Understanding model constraints in analytical scenarios
- Applying human-in-the-loop validation strategies
Summary and Next Steps
Requirements
- A solid grasp of market research fundamentals
- Practical experience with analytical or reporting tools
- Working familiarity with business strategy concepts
Target Audience
- Business analysts
- Market research teams
- Professionals in strategy, planning, and product management
14 Hours
