Qwen for Market Research Training is a hands-on two-day program designed to help professionals use Qwen AI to conduct faster, deeper, and more data-driven market research. This course focuses on leveraging Qwen models for secondary research, customer insights, competitive analysis, survey analysis, trend identification, and report generation, enabling participants to transform raw information into actionable market intelligence.

• Understand how to use Qwen for AI-assisted market research workflows
• Perform market analysis, competitor research, and trend identification using AI tools
• Generate research summaries, insights, and business reports efficiently
• Apply effective prompting techniques for research and data interpretation tasks
• Improve decision-making through AI-driven information analysis and knowledge discovery
• Understand responsible AI usage, information validation, and research accuracy best practices

• Market research analysts and consultants
• Business analysts and strategy professionals
• Marketing and product research teams
• Entrepreneurs and startup founders
• Product managers and growth professionals

• Basic understanding of market research or business analysis concepts
• Familiarity with business reports and data interpretation
• Comfort with working on textual or qualitative data
• No prior AI or technical background required

• Using Qwen AI for market and customer research
• Designing effective prompts for research insights
• Conducting competitive and industry analysis using AI
• Synthesizing qualitative data into structured findings
• Generating professional research reports using Qwen

By the end of this training, participants will be able to use Qwen AI to conduct comprehensive market research, analyze qualitative data efficiently, generate actionable insights, and produce professional research reports while following ethical and responsible AI practices.

Introduction to Qwen for Market Research
• Understanding Qwen AI capabilities for research use cases
• Role of AI in modern market research workflows
• Identifying research objectives and scope
• Best practices for AI-assisted research

Secondary Research and Data Collection
• Conducting desk research using Qwen
• Analyzing industry reports and whitepapers
• Extracting insights from articles and publications
• Organizing research findings effectively

Customer and Competitor Analysis
• Analyzing customer feedback and reviews
• Identifying customer needs and pain points
• Competitive landscape analysis
• Mapping competitors, positioning, and differentiators

Trend Analysis and Insight Generation
• Identifying market trends and emerging patterns
• Analyzing qualitative and textual data
• Converting insights into strategic recommendations
• Supporting data-driven decision-making

Survey Analysis and Research Synthesis
• Analyzing open-ended survey responses
• Segmenting customer insights using AI
• Summarizing research outcomes
• Validating findings and reducing bias

Reporting and Responsible AI Practices
• Creating structured market research reports
• Visual storytelling and executive summaries
• Ethical considerations and data accuracy
• Ensuring transparency and reliability in AI-driven research

• Market research capabilities of Qwen
• Prompt engineering for research and analytical workflows
• AI-assisted competitor analysis and trend identification techniques
• Research summarization and business reporting concepts
• Information validation and responsible AI practices
• Practical hands-on market research exercises

• Hands-on market research exercises
• Prompt design and insight-generation assessment
• Market research mini project
• Final knowledge evaluation quiz

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants who successfully complete the training will receive an AcadNXT Certification in Qwen for Market Research Training, validating their expertise in conducting market research, analyzing insights, and generating strategic reports using Qwen AI.