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Course Outline

Introduction to Qwen Chat for Research Workflows

  • Positioning Qwen Chat within intelligence processes
  • Comparing AI-assisted versus manually executed research tasks
  • Maintaining reliability and avoiding analytical pitfalls

Prompt Engineering for Market Research

  • Structuring prompts to extract relevant insights
  • Managing tone and ensuring analytical precision
  • Controlling depth, scope, and specificity

Summarizing Industry Reports and Documents

  • Techniques for processing long-form reports
  • Identifying key trends, metrics, and core takeaways
  • Creating concise, executive-ready summaries

Competitive Analysis with Qwen Chat

  • Building comparison matrices through strategic prompting
  • Highlighting strengths, weaknesses, and key differentiators
  • Drafting competitor briefs suitable for leadership consumption

Generating Business Intelligence Outputs

  • Developing SWOT analyses and strategic snapshots
  • Formulating 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 fragmented information into coherent narratives

Workflow Integration and Best Practices

  • Building repeatable AI-assisted research workflows
  • Implementing quality control and verification techniques
  • Ensuring alignment with internal research standards

Ethics, Limitations, and Governance

  • Managing confidentiality and promoting responsible use
  • Recognizing model limitations in analytical contexts
  • Applying human-in-the-loop validation

Summary and Next Steps

Requirements

  • A solid grasp of market research fundamentals
  • Experience using analytical or reporting tools
  • Familiarity with core business strategy concepts

Target Audience

  • Business analysts
  • Market research teams
  • Strategy, planning, and product management staff
 14 Hours

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