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 Duration 14 hours

Course Outline

Introduction to Qwen Chat in Research Workflows

  • Defining the role of Qwen Chat in intelligence processes
  • Contrasting AI-assisted versus manual research tasks
  • Maintaining reliability and mitigating analytical risks

Prompt Engineering for Market Research

  • Designing prompts to extract relevant insights
  • Managing tone and ensuring analytical accuracy
  • Controlling the depth, scope, and specificity of outputs

Summarizing Industry Reports and Documents

  • Methods for processing lengthy reports
  • Identifying key trends, metrics, and critical takeaways
  • Producing concise, executive-ready summaries

Competitive Analysis with Qwen Chat

  • Creating comparison matrices via prompting
  • Highlighting strengths, weaknesses, and key differentiators
  • Drafting competitor briefs suitable for leadership review

Generating Business Intelligence Outputs

  • Developing SWOT analyses and strategic overviews
  • Formulating 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 data into coherent 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 responsible usage
  • Recognizing model limitations in analytical settings
  • Applying human-in-the-loop validation protocols

Summary and Next Steps

Requirements

  • A solid grasp of market research fundamentals
  • Hands-on experience with analytical or reporting tools
  • A basic understanding of business strategy concepts

Target Audience

  • Business analysts
  • Market research teams
  • Strategy, planning, and product management professionals

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