GenAI Interaction Patterns Best Practices
Users trust GenAI when they know what to do, what to expect, and how to stay in control. This workshop standardizes interaction patterns and guidelines so experiences are consistent, role-appropriate, and governable across teams.
Leave with a practical pattern library and interaction guidelines that accelerate delivery while improving trust and consistency.
Many enterprises can build GenAI features, but struggle to create interaction experiences that feel predictable, safe, and scalable across products.
- Interaction design is reinvented in every product: Without a pattern catalog, teams build inconsistent flows and controls, confusing users and slowing adoption.
- Experiences don’t match user roles and needs: Interfaces designed for “everyone” fit no one, leading to workarounds, errors, and low engagement.
- Guidance and governance are hard to enforce: Without formal interaction guidelines, it’s difficult to ensure clarity, usability, and user control across teams.
When interaction patterns aren’t standardized, GenAI adoption becomes fragmented—and trust erodes through inconsistency.
We help teams build and operationalize a shared set of interaction patterns that improve usability, reduce friction, and support governance.
- Catalog patterns suited to different GenAI outputs: Identify the interaction patterns that best support common output types (summaries, recommendations, drafts, decisions).
- Design conversational flows and micro-interactions: Define the flow and interaction details that make experiences clearer, more controllable, and easier to learn.
- Prototype adaptive interfaces for different roles: Create role-aware interaction approaches so experiences match user expertise, authority, and workflow context.
- Test interactions for clarity, usability, and control: Establish testing practices that validate whether users understand, trust, and can manage GenAI outputs responsibly.
- Formalize interaction guidelines for reuse and governance: Turn patterns into guidelines that teams can adopt consistently, accelerating delivery and reducing risk.
- Cataloging interaction patterns suited to GenAI outputs
- Designing conversational UX flows and micro-interactions
- Prototyping adaptive GenAI interfaces for various roles
- Testing interactions for clarity, usability, and control
- Formalizing interaction guidelines for reuse and governance
- Identify the interaction patterns most suited to the GenAI outputs used in your enterprise
- Draft a pattern catalog that improves consistency across products and teams
- Define conversational flows and micro-interactions that increase clarity and user control
- Establish role-based interaction approaches that better fit different user needs
- Leave with guidelines and testing practices that support reuse and governance at scale
Who Should Attend:
Solution Essentials
Facilitated workshop (interactive discussion + working session)
4 hours
Intermediate
Virtual whiteboard and shared document workspace