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 Duration 14 hours

Course Outline

Introduction to Qwen Chat for Research Workflows

  • Integrating Qwen Chat into intelligence processes
  • Comparing AI-assisted versus manually executed research tasks
  • Maintaining reliability and mitigating analytical errors

Prompt Engineering for Market Research

  • Designing prompts to extract pertinent insights
  • Regulating tone and ensuring analytical precision
  • Controlling depth, scope, and specificity of outputs

Summarizing Industry Reports and Documents

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

Competitive Analysis with Qwen Chat

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

Generating Business Intelligence Outputs

  • Developing SWOT analyses and strategic overviews
  • Drafting 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 disparate information into coherent 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 confidentiality and responsible usage
  • Recognizing model limitations in analytical contexts
  • Applying human-in-the-loop validation

Summary and Next Steps

Requirements

  • A foundational understanding of market research principles
  • Proficiency with analytical or reporting software
  • Awareness of core business strategy concepts

Target Audience

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

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