Experience Design Digest #117 – Technological Change, Maturity in Design Systems & AI as a Material

Technological Change, Maturity in Design Systems & AI as a Material

“Mature documentation is not about how old it is or how rich it is; it’s about how helpful it is for your users.”
Jules mahe

ARTICLES IN THIS DIGEST

Defining Maturity in Design Systems
A design system can look vastly different from business to business, and truthfully there is no one correct way to go about building, scaling and maintaining one. Ultimately it’s down to the needs of your teams as to how far you push documentation, and that scale of design ‘maturity’ will always look different because of this. ZeroHeight offers teams a way to accelerate the binding of design and development by housing coded components alongside rich documentation, but it’s likely a sensible approach for most teams to ensure their design ‘system’ doesn’t just stop at a Figma design file.

Tech at the Edge: Trends Reshaping the future of IT & Technology
The buzz around emergent technology trends in the enterprise software space has been ramping up for a while, but there’s still little documented regarding the implications this will have on the fabric of businesses. Greater experimentation, perpetual-learning cultures and flexibility around delivery to support appropriate adoption are some of the key ways in which McKinsey believes businesses will need to adapt. Leaders of the future, therefore, will not simply need strategies for implementing the new technologies, but a commitment to developing the new capabilities required to manage that change. Having a clear vision for the role of these new technologies within the business and enabling product managers to develop a roadmap for their integration will require provide visibility on the path to the next generation of their software platforms.

Using AI as a Material
Framing AI as a ‘material’ for designers is a nice concept. Designers will need to conjure up a new set of UX and UI patterns that help effectively navigate and guide a user through AI’s potential application in digital products. Things like comparisons, source referencing, transmitting data verifications (ethical and legal), confidence scoring, prompt patterns all need to be considered to make sure digital experiences are human and comprehensive. We need expert designers to help shape that.

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