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Program Dates
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Venue/Deadline IIMB Campus
Early Bird Deadline: 24 Sep 2026
Register By: 05 Oct 2026 |
Program Fees (excluding GST) Residential: Rs. 115500 |
Apply Now |
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.
Ms. Sreeshma K
Mobile No: +91-7899991006
Email: sreeshma.k@iimb.ac.in
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
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.
Dr. MS Shalique is an Assistant Professor in the Department of Production and Operations Management at the Indian Institute of Management, Bangalore (IIM B). At IIM B, he is part of the Human+AI Initiative and INFLUENCE (Initiative for Nudging for Low-Carbon and Environmentally Conscious Engagement) in association with the Behavioural Lab. Prior to this, he was a visiting fellow at the Lundquist School of Business, University of Oregon.
Shalique’s work lies at the intersection of computer science, human behavior, and sustainability, with a focus on Artificial Intelligence to understand how we think, learn, and interact with complex systems. His work, published in the International Journal of Production Research, explores farmer behaviour under risk and uncertainty using laboratory experiments with a particular focus on developing markets. His research has also gained visibility in media outlets for its contribution to evidence-based policy using insights from behavioural science.
Sanchayan Banerjee is a Senior Lecturer (Associate Professor) in Economics and Public Policy at the Policy Institute in King’s College London. He is a visiting fellow of the London School of Economics and an affiliate of Amsterdam Sustainability Institute and the Institute for Environmental Studies in Amsterdam.
His research focusses on developing citizen-oriented, participatory behavioural public policies and testing their effectiveness and legitimacy using experiments (field, lab and online) in areas of food policy, energy policy, public health, and charitable donations. Sanchayan has co-developed the NUDGE+ toolkit with Peter John.
Sanchayan is a seasoned university teacher with more than 8 years of teaching experience. He is a Fellow of the UK Higher Education Academy (FHEA) and holds a University Teaching Qualification (BKO) in the Netherlands. He is also an accredited external examiner in the UK. He has won three LSE Teaching Awards consecutively and two teaching innivation grants at VU Amsterdam.
Sanchayan holds a PhD (2022) and MSc (2018) from the London School of Economics. Previously, Sanchayan was a (tenured) Assistant Professor of Environmental and Behavioural Economics at Vrije Universiteit Amsterdam (2022-2024).
Programme Fee
INR 1,15,500/- Residential and INR 99,000/- Non -Residential (+ Applicable GST) per person for participants from India and its equivalent in US Dollars for participants from other countries.
Early Bird Discount
Nominations received with payments on or before 24-Sep-27 will be entitled to an early bird Discount of 10%.
Early Bird Fee (Residential) INR 1,03,950/-(+ Applicable GST)
Early Bird Fee (Non-Residential) INR 89,100/-(+ Applicable GST)
Group Discount
Group Discount of 5% percentage can be availed for a group of 3 or more participants when nominations received from the same organization.
Please Note
Note: Certificate image is for reference to potential participants only and may change at the discretion of Executive Education Programmes Office