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Course Outline

Introduction to Qwen Chat in Research Workflows

  • Integrating Qwen Chat into intelligence processes
  • Comparing AI-assisted versus manual research tasks
  • Maintaining reliability and sidestepping analytical errors

Prompt Engineering for Market Research

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

Summarizing Industry Reports and Documents

  • Strategies for processing lengthy reports
  • Identifying key trends, metrics, and core takeaways
  • Crafting concise, executive-level summaries

Conducting Competitive Analysis with Qwen Chat

  • Creating comparison matrices through effective prompting
  • Identifying strengths, weaknesses, and unique differentiators
  • Drafting competitor briefs for leadership review

Producing Business Intelligence Outputs

  • Generating SWOT analyses and strategic overviews
  • Drafting insights on opportunities and risks
  • Creating reusable templates for BI tasks

Analyzing Market Data and Qualitative Inputs

  • Deriving insights from qualitative sources
  • Interpreting trends, customer sentiment, and market signals
  • Synthesizing disjointed information into coherent narratives

Workflow Integration and Best Practices

  • Establishing repeatable AI-assisted research workflows
  • Implementing quality control and verification methods
  • Maintaining alignment with internal research standards

Ethics, Limitations, and Governance

  • Handling confidentiality and ensuring responsible usage
  • Awareness of model limitations in analytical settings
  • Applying human-in-the-loop validation

Summary and Next Steps

Requirements

  • A solid grasp of market research fundamentals
  • Practical experience with analytical or reporting tools
  • Knowledge of core business strategy concepts

Target Audience

  • Business analysts
  • Market research teams
  • Staff in strategy, planning, and product management
 14 Hours

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