TODAY'S PRESSURE POINTS

Apoorva Pethe argues that as AI becomes more agent-like, UX can’t assume users are always in control. Her AI UX Compass focuses on intent alignment, transparency, control, trust, and ethics so people understand what the system is doing and when to step in. 

DEEP CUT:  Most AI breakdowns come from unclear expectations, not bad models. Designing for comprehension and control early prevents that drift before it shows up as abandonment.

Bryan Zmijewski’s design metrics tree shows how UX metrics connect design work to product and business results. Experience signals feed initiatives, initiatives move product metrics, and business metrics prove impact. It gives teams a shared language for explaining why design decisions matter.

DEEP CUT:  Design loses influence when metrics live in isolation. Leaders don’t need more numbers. They need clear cause and effect. 

In this thread, Bryan Zmijewski points out a pattern many teams recognize instantly. They track NPS, CSAT, or SUS consistently, yet still struggle to decide what to do next. Helge Tennø reframes NPS as an alarm, not an insight. It signals that something is wrong without explaining why. 

DEEP CUT: High-level scores are supposed to remove ambiguity, not create direction. The real work starts after the alarm goes off, when teams bring the right expertise together to interpret behavior and decide where to act.

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