Interaction Acceptance Checklist: The Second List Before Launch
Taste Engineering's finale shipped the first list for "looks good"; this chapter ships the second for "works well." Looks handle the first glance; usefulness handles every day after—and interaction bugs hide deeper: screenshots won't show them; you have to click. Fourteen items, one action each—run them before you sign off.
Taste acceptance can use screenshots; interaction acceptance needs hands-on clicks: throttle the network, empty the list, press the dangerous button, walk the flow end to end. The 14 items below are that action list, grouped in this chapter's nine-lesson order—each line can go straight to AI as a rejection reason. Check progress lives locally; bring a new product next time and keep going.
Source of the last item: About Face 4, Chapter 8 compares good software to a considerate person and lists a considerateness checklist—"good memory" is the cheapest, highest-yield line. Making users re-pick a city or retype an invoice title is software playing amnesiac.
The list is cold; the drill is hot. This cloud-notes app is built at real "AI one-shot" quality—five interaction accidents hit five lessons in this chapter. Use the checklist as a map; tap when you find one.
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That considerateness item expands into Chapter 8's full list: considerate software cares about preferences, answers asks, remembers, and doesn't dump its own problems on users. Three real scenes—judge considerate or rude.
All three series' lists are here: Taste for looks, Interaction for usefulness, Psychology for feel. Run them in order before launch—none substitutes for another.
Lessons 1–5: four handles: are the three states complete? Are dangerous actions reversible? Can the flow lose another step? Did anyone invent odd interactions? To judge usefulness, click in that order.
Interaction acceptance needs clicks: throttle the network, empty the list, press the dangerous button, walk the full path—screenshots won't catch interaction bugs.
Use the 14 items as rejection copy: send the failing line to AI verbatim—ten times faster than "optimize it more."
Three lists, one set: looks (Taste), works (this chapter), feels (Psychology)—run in order before launch.
Source: Original to Xiaoshan Academy's Interaction Engineering series; considerateness list from About Face 4, Chapter 8; other criteria cited per lesson (Alan Cooper et al.).