Matt McElvogue, VP of Design at Teague, doesn't talk about design as a polish layer. He talks about it as a mission-critical failure point. His clearest example: a $5,000 tactical device used by JTAC operators for calling in 9-line bombing runs, where zeroizing the device was buried so deep in the menu that soldiers in the field resorted to shooting it or blowing it up. That failure isn't a UX anecdote; it's the operational cost of ignoring the experience layer.
Matt lays out how AI and autonomous systems are now forcing a fundamental rethink of that layer, specifically the shift from in-the-loop to on-the-loop decision-making, and the three trust requirements every autonomous system interface must satisfy: legibility, predictability, and recoverability. He also describes a coming design challenge that has no precedent, which is building interface components for AI systems that will dynamically assemble the UX themselves, in real time, based on individual context.
Topics discussed:
- How AI and autonomy are shifting military operators from in-the-loop to on-the-loop as threat volumes scale
- The three trust requirements for autonomous system UI design: legibility, predictability, and recoverability
- Working with early-stage defense companies before contracts arrive and how early design involvement shapes technical requirements
- AI systems that dynamically assemble their own UX, requiring designers to build components for experiences they can’t fully predict
- How procurement decision-makers who grew up with iPhones are raising the bar for defense technology usability
- Why trust erosion from poor interface design is effectively irreversible so the military ends up with expensive equipment operators work around
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