About
Tej is a systems thinker, UX strategist, and design researcher exploring the intersection of AI, strategy orchestration, and enterprise transformation. With a background spanning UX research, strategy visualization, and collaborative problem framing, Tej works on translating complexity into human-centered systems and experiences. Their work focuses on how organizations can move from static decision-making structures toward adaptive, intelligence-driven ecosystems where strategy, execution, and human collaboration continuously evolve together. Deeply interested in conversational intelligence, organizational memory, and AI-augmented decision systems, Tej brings a multidisciplinary perspective that bridges design, systems thinking, and emerging technology. Known for facilitating nuanced conversations around ambiguity, transformation, and human behavior, Tej is passionate about building futures where technology enhances clarity, alignment, and collective intelligence rather than replacing human judgment.
Workshop details
Conflict as a Coherence Engine: Building AI Products for Human Coordination
About this workshop
This workshop teaches the Conflict as a Coherence Engine framework through direct application. Participants work with their own real team contexts not hypothetical scenarios. The session moves through four stages: first, distinguishing conflicts from constraints and mapping where each type lives in a product team. Second, designing a decision trace the five-field structure that captures not just what was decided but why, what was traded, and which outcome it serves. Third, applying the three-tier conflict model to identify whether a team's coordination failures are conversation-level, resource-level, or structural. Fourth, using the qualification question to assess whether a team or organisation has the psychological safety for conflict to become signal rather than politics. The facilitator brings primary research from discovery interviews with PMs at fast-growth startups, a complete product design case study, and the honest finding that this framework only works in certain conditions.
Workshop key takeaways
- When intelligence is abundant, coherence is the differentiator. Participants reframe their understanding of what AI products should be designed to do - not replace human judgment but make human coordination more intelligent.
- A personal conflict taxonomy. Each participant maps the recurring conflicts in their own team or product across three tiers - Team, interdeprtmental, organisational
- A decision trace template. Participants practise writing five-field decision traces - what, why, tradeoff, outcome, confidence - for real decisions from their own work, and leave with a template they can use in their next sprint.
- The qualification question. A single question that reveals in 30 seconds whether a team has the psychological safety for conflict to produce coherence rather than politics - and what to do when the answer is no.
- Trust as a design constraint. Participants design one interaction in their own product or team process that treats human dignity as a requirement - anonymity at point of capture, participation before commit, space to dissent without confrontation.