Augmented Decisions: AI and Human Behavior [Batch 1]

Digital products today shape millions of decisions every second — from what users click, buy, trust, or ignore. As AI systems increasingly impact these choices, managers must go beyond intuition and analytics. They must understand how humans actually decide, and how algorithms amplify, bias, or reshape those decisions.

This programme integrates cutting-edge behavioral science, experimentation, and AI tools to help managers design intelligent, ethical, and high-impact decision environments.

Blending research insights with hands-on frameworks, this programme equips leaders to design products that are not just intelligent — but behaviorally aligned.

Human + AI Integration

Experimentation-Driven Product Thinking

Real-World Learning

Product-Centric Behavioral Strategy

Ethical & Responsible Influence

Research-Informed, Practice-Oriented

In-person sessions supported by case studies, interactive activities, and mentoring support

This programme is designed for mid-to-senior-level professionals who play a critical role in shaping digital product strategy, user experience, and data-driven decision-making within their organizations. The target audience includes product managers, UX researchers, behavioral science practitioners, growth leaders, and digital strategy professionals who seek to enhance product performance through the integration of behavioral insights, AI-enabled experimentation, and responsible decision architecture.

Diagnose and Improve Live Product Journeys Identify behavioral frictions in existing user flows and redesign decision environments to improve conversion, engagement, and retention using evidence-based choice architecture.

Design Smarter Experiments with AI Support Move beyond surface-level A/B testing by combining behavioral hypotheses with AI-driven insights to generate sharper experiments, and more meaningful interpretation of results.

Translate Behavioral Insight into Product Strategy Apply cognitive principles to pricing, feature prioritization, onboarding, and personalization — ensuring product decisions are aligned with how users actually think and decide.

Strengthen Cross-Functional Decision-Making Build a shared language across product, UX, analytics, and leadership teams, enabling more structured, evidence-driven conversations around design and performance.

Embed Behavioral Thinking into Organizational Processes Shift from reactive analytics to proactive decision architecture by institutionalizing experimentation and behavioral design within product roadmaps.

Lead Responsible and Trust-Centered AI Deployment Anticipate algorithmic bias, avoid manipulative design, and balance short-term optimization with long-term user trust and reputational resilience.

Develop a Distinctive Leadership Edge in the AI Era Position yourself as a leader who bridges human cognition and machine intelligence — capable of designing scalable, ethical, and strategically differentiated digital ecosystems.

Organizational Benefits Improved Product Performance

Higher conversion and engagement rates, smarter personalization strategies, and better retention through behavioral design.

Stronger Experimentation Culture Structured decision frameworks, reduced reliance on intuition, and more effective experimentation processes.

Competitive Advantage in AI Deployment Strategic use of AI beyond automation and better integration between data science and product teams.

Responsible AI Leadership Reduced reputational risk and ethical decision architecture that builds long-term user trust.

Cross-Functional Alignment A shared language connecting behavioral science, UX research, product strategy, and AI/data science teams.