Course Objective & Scope
Asking an LLM 'Give me 10 creative ideas' almost always yields generic, predictable clichés because models default to the statistical average of their training data. True creative leverage emerges when human domain judgment is paired with structured prompting that forces the AI to explore distant analogies, challenge hidden assumptions and simulate opposing perspectives. This course transforms generative AI from a passive text generator into an active cognitive sparring partner.
Participants build multi-step prompt workflows for problem reframing, cross-domain concept synthesis, synthetic stakeholder stress-testing and pre-mortem red teaming.
Who Should Attend?
- Strategy, product, marketing, business development and innovation professionals
- Managers who want deeper strategic thinking rather than generic boilerplate from AI tools
- Knowledge workers looking to supercharge individual and team ideation sessions
- Basic familiarity with any conversational LLM (ChatGPT, Claude, Gemini, etc.)
Key Takeaways
- Overcome the AI 'homogenization effect' by designing constraint-rich, high-variance ideation prompts
- Use Socratic and reverse-prompting workflows where the LLM interviews you to expose blind spots
- Generate novel concepts via cross-industry analogy transfer and morphological synthesis
- Stress-test nascent ideas using synthetic stakeholder personas, Devil's Advocate and Pre-Mortem simulations
- Orchestrate a balanced Human + AI ideation workflow that preserves human taste and strategic judgment
Curriculum
Breaking the Average Trap: Human + AI Co-Thinking Architecture
- Why naive prompts converge on mediocre clichés (the statistical homogenization effect)
- Defining the human role as Frame-Setter, Taste-Maker and Critical Evaluator
Socratic AI: Problem Reframing & Assumption Hunting
- Flipped Interaction prompting: training the LLM to interrogate your problem statement and hidden assumptions
- Reframing business challenges through diverse disciplinary lenses (behavioral economics, game design, ecology)
High-Variance Ideation: Distant Analogies & Morphological Synthesis
- Prompting for structural analogy transfer across unrelated industries
- Using morphological boxes (Zwicky matrices) and forced constraints to explore non-obvious combinations
Synthetic Red Teaming: Personas, Devil's Advocate & Pre-Mortems
- Simulating skeptical executives, reluctant end-users and competitors to pressure-test concepts
- Running automated Pre-Mortem failure simulations to uncover fragile links before launch
From Concept to Experiment: AI-Assisted Prototyping Workflows
- Translating selected sparks into Hypothesis Cards, user storyboards and Fake Door test copy
- Guardrails against cognitive offloading, hallucinated market facts and loss of original voice
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User empathy research, customer journey mapping, problem definition, ideation and rapid prototyping; teams design and test solution prototypes grounded in real user insights.
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Avoiding the trap of solving the wrong problem (Type III error), challenging hidden assumptions and multi-perspective reframing; teams unlock stalled initiatives with a sharper problem frame.
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Structured ideation beyond flawed brainstorming (Brainwriting, SCAMPER) paired with impact/effort and risk-value prioritization matrices; teams turn scattered ideas into an actionable backlog.
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Testing ideas before heavy investment using Hypothesis Cards, pretotyping, MVP experiments and validation metrics; teams design rapid experiments to test their riskiest assumptions.
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