Introduction: why AI for customer insights
- The role of AI in modern customer understanding
- Opportunities and challenges in AI-assisted insight generation
Customer profiling: opportunities and risks
- Techniques for building AI-generated profiles
- Bias, privacy, and ethical considerations in profiling
Uncovering behaviours with AI techniques
- Identifying patterns and behavioural signals
- Validating relevance and segmenting audiences
Designing and simulating feedback collection
- Using AI to model customer responses
- Creating feedback loops and testing assumptions
Applying insights to strategy and customer experience
- Translating insights into product and service improvements
- Aligning findings with business goals and customer needs
Ethics and responsible AI use
- Transparency, fairness, and human oversight
- Case studies on ethical AI in customer contexts
Exams and assessments
Participants will be assessed through:
- Practical exercises and scenario-based activities
- Application of AI tools in customer insight case studies
- Completion of the course earns the ICAgile AI for Customer Insights badge (micro-credential)
Hands-on learning
The course includes:
- Guided walkthroughs of AI tools for profiling, behaviour analysis, and feedback simulation
- Real-world customer insight scenarios and group exercises
- Instructor-led sessions to refine strategic thinking and ethical awareness