Special Topic

Interaction Engineering: Make the Product Usable

Go beyond visual polish and inspect the states people actually move through: loading, empty, error, undo, confirmation, and recovery. Learn to specify interfaces as behaviors an AI can implement and test.

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THE QUESTION THIS PAGE ANSWERS

ANSWER FIRST

What will the “Interaction Engineering: Make the Product Usable” AI learning path help you do?

Go beyond visual polish and inspect the states people actually move through: loading, empty, error, undo, confirmation, and recovery. Learn to specify interfaces as behaviors an AI can implement and test. The path contains 10 free notes, each centered on one question you can understand and test.

DECISION RULE

Core themes include Usability Is Also the Bottleneck, Four Handles for Spotting Good Interaction, Interface Details, Translating Interaction for AI.

TRY NEXT

Begin with “It Runs. Now What?,” then choose the next note by the task in front of you.

WATCH FOR

Do not optimize for finishing the list. Explaining one trade-off with your own example matters more than opening more titles.

What this route helps you practice

Open the first note

Each chapter follows a class of real decisions. Follow the sequence, or enter at the problem you are solving today.

10notes
01It Runs. Now What?Flip the "considerate software" trait list and you get AI's default interaction flaw list. Click five inconsiderate spots in an app that runs fine, and see what you've been quietly putting up withIntro9 min02The Three States: Loading, Empty, ErrorThe three abnormal moments in a UI are exactly where experience splits. Empty states should teach the next step; loading should report progress; errors should speak plain language and offer a way out. Pick winners in three A/B duels yourselfInteractive9 min03Error Prevention & Reversibility: So Users Aren't Afraid to ClickStop errors before they happen rather than report them after; undo makes exploration safe; confirm dialogs are the weakest error prevention. Redesign three dangerous buttons yourselfInteractive7 min04Flow Restraint: Every Extra Step Drops Another BatchActions that don't directly serve the goal are excise. Trim a five-step signup to two, step by step, and watch who stays in the funnelInteractive8 min05Conventions: Don't Let AI Invent New InteractionsUsers operate software through conventions — learn once, use everywhere. Spot which control is faking innovation, and which thing that looks like a button isn't oneInteractive11 min06Did You Pick the Right Control: Radio, Checkbox, Toggle & DropdownMutually exclusive pick-one uses a radio button; multi-select uses checkboxes; instant effect uses a toggle; dropdown only when options overflow one screen. Six match-up scenes plus a cheat sheet you paste into promptsInteractive12 min07The UI Speaks: How Users Read Your Copy"Delete these 3" is more honest than "OK." Button verbs must name the consequence; labels use the user's words; don't serve database field names to users. Rewrite three lines in a dialog by handInteractive11 min08Goal-Oriented: Describe Requirements by Goals, Not Feature ListsTelling AI "Xiaomei needs to file expenses in three minutes" beats "need upload, form, buttons" by a mile. Duel two prompts, then practice rewriting a feature list into a scenarioHands-on8 min09Put the State Machine and Boundaries in the PromptFor every screen, list every state, nail the edge cases, and write error-prevention requirements. State-machine completer + edge-case wheel, with a copy-ready acceptance phrasing templateHands-on6 min10Interaction Acceptance Checklist: The Second List Before LaunchAre the states complete? Are dangerous actions reversible? Can the flow still be cut? Did you pick the right controls? Is the copy in plain language? A checkable interactive list — paired with the Taste and Psychology lists as one setFinale7 min