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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 versus manually executed research tasks
  • Ensuring data reliability and mitigating analytical errors

Prompt Engineering for Market Research

  • Designing prompts to extract relevant insights
  • Maintaining appropriate tone and analytical precision
  • Controlling the depth, scope, and specificity of outputs

Summarizing Industry Reports and Documents

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

Competitive Analysis with Qwen Chat

  • Constructing comparison matrices through strategic prompting
  • Identifying strengths, weaknesses, and key differentiators
  • Drafting competitor briefs suitable for leadership review

Generating Business Intelligence Outputs

  • Creating SWOT analyses and strategic snapshots
  • Drafting insights on opportunities and risks
  • Developing 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 data 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.
  • Practical experience with analytical or reporting tools.
  • Knowledge of business strategy concepts.

Target Audience

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

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