Introduction: AI’s role in discovery
- How AI supports faster, deeper exploration
- Balancing automation with human creativity
Research with AI: scanning markets, customers, and trends
- Using AI to identify needs, gaps, and opportunities
- Approaches for trend analysis and customer insight
Ideation with AI: structured brainstorming and refinement
- Generating ideas with AI prompts and models
- Filtering and improving concepts with AI support
Opportunity assessment: using AI to weigh options
- Evaluating feasibility, desirability, and viability
- Prioritising ideas based on data and strategic fit
Reflection: ethics, risks, and human creativity
- Recognising bias and limitations in AI-generated outputs
- Keeping humans at the centre of product decisions
- Case studies on responsible AI use in product discovery
Exams and assessments
Participants will be assessed through:
- Practical exercises and scenario-based activities
- Application of AI tools in product discovery case studies
- Completion of the course earns the ICAgile AI for Product Discovery badge (micro-credential)
Hands-on learning
The course includes:
- Guided walkthroughs of AI tools for research, ideation, and evaluation
- Simulations based on real-world product discovery challenges
- Group sessions and instructor feedback to refine ideas and approaches