Working Surfacelink · 26 Oct 2026
03
A carpenter seen from behind reaches past a wall of identical star-shaped gadgets hanging on pegs to take down one plain, worn hand plane, the whole scene drawn with wide empty margins on every side.
UX Collective

Nobody asked for the sparkle button

Jon Sabutis · 25 October 2026

Company story · decisions · After the prototype

Read the original
Takeaway

Jon Sabutis, a design lead at a financial technology company, argues that AI features built without a user problem drive people away, and offers four questions to ask first.

Summary

Jon Sabutis leads design at a financial technology company and uses AI in his own work every day. He argues that many products ship the same AI chat panel, switched on by default and hard to turn off. In his account, companies bought a capability before finding a problem for it, and he proposes four product questions and tactics for roadmap meetings.

Key points
  • He cites Microsoft's March 2026 decision to cut back Copilot entry points, starting with Notepad, the Snipping Tool, Photos and Widgets.
  • His four questions are who asked, what the feature is named after, whether it would ship switched off, and whether it would survive at full AI cost.
  • In meetings, he proposes mapping three real tasks over two weeks and requiring a one-page brief for every AI item. He also suggests shipping new AI features switched off as an experiment.
  • His examples of good AI features work where the job already happens, such as Gmail's Smart Compose and Photoshop's Remove tool.
Implication

A product team can require every proposed AI feature to name the person and task it serves before work starts, and test demand by shipping it switched off. Sabutis offers these as tactics from his own practice, not as results he has measured.

Plays
Product

Require every proposed AI feature to fill in a one-page brief naming who asked, what it does, and its AI cost per seat.

Product

Ship a new AI feature switched off by default as an experiment, and measure who turns it on and keeps it on.

Derived by Working Surface from the article; more in the Playbook. Source line: An agent is a worker. You cannot hire a worker for a job you have not described, and the description is the part nobody wrote.

Source issue

26 October 2026: teams now judge AI work by tests a person sets, from pass-or-fail checks on what agents build to plain questions about who asked for a feature.