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Evaluate whether GenAI improves UX or introduces complexity. Often, heuristic-based (IF/Else) solutions are easier to build and maintain.

Scenarios when GenAI is beneficial

  • Tasks that are open-ended, creative and augments user.

    E.g., writing prompts, summarizing notes, drafting replies.

  • Creating or transforming complex outputs (e.g., images, video, code).

    E.g., converting a sketch into website code.

  • Where structured UX fails to capture user intent.

Scenarios when GenAI should be avoided

  • Outcomes that must be precise, auditable or deterministic. 

    E.g., Tax forms or legal contracts.

  • Users expect clear and consistent information.

    E.g. Open source software documentation.

How to use this pattern
  1. Determine the friction points in the customer journey

  2. Assess technology feasibility: Determine if AI can address the friction point. Evaluate scale, dataset availability, error risk assessment and economic ROI.

  3. Validate user expectations: 

    • Determine if the AI solution erodes user expectations by evaluating whether the system augments human effort or replaces it entirely, as outlined in pattern - Augment vs. automate.

    • Determine if AI solution erodes pattern - Leverage Mental model



GenAI or no GenAI

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