Synthetic users vs. research; assumption audits; unhappy paths; ugly wireframes.
UX · graphic design · motion — 4 hours, drop-in friendly
UX and Product Design: Research, Flows, Wireframes, and Prototypes
A five-prompt UX planning kit — assumptions, flows, wireframe text, edge cases, accessibility — and the one rule that keeps AI-assisted UX honest: personas are hypotheses, not people.
01This Week at a Glance
You will make: one task flow + one low-fi wireframe + a critique checklist for an app idea.
Edge Case Hunt logic; accessibility specificity; the prototype chain.
"An app for plant people" — the five prompts, live.
Edge Case Hunt on your idea; trust-damage rankings.
UX is where AI's biggest lie lives: confident personas, quotes from users who don't exist, statistics from studies that never happened. Fake research is worse than no research — it carries authority without evidence.
AI for structure and pessimism (assumptions, flows, edge cases, microcopy). Research for evidence and empathy (what's actually true of real people). AI can imagine your users; only research can know them — label which one you're holding.
02Key Concepts
1 · Synthetic users vs. real research
AI-invented users are hypotheses wearing name tags — useful exactly as hypotheses (they force assumptions into the open), poison the moment anyone treats them as findings.
- Label every persona:
HYPOTHESIS — needs real research. - For each persona claim, write the interview question that would test it.
- Never present synthetic users as research. That's fabrication, and it gets discovered.
2 · The assumption audit: the cheapest UX win
Before any design: "list every assumption hiding in this idea," then sort — safe to assume / must research / dangerous to guess. Ten minutes that reorder a project. This is AI at its best: pessimistic structure, no facts required.
3 · Flows: the happy path is the easy 20%
AI drafts a clean flow in seconds. The value move is the next prompt: "now give me the unhappy paths." Bad photo, no signal, ambiguous result, abandoned mid-task. Models are surprisingly good at enumerating failure — they've read every support forum on earth. Most of real UX is designing the recovery.
4 · Wireframes: ugly on purpose
Grey boxes, real structure, real microcopy. Polish hides thinking — yours and the model's. AI writes the wireframe text (each screen's purpose, elements, exact button labels, empty states); you draw the boxes. Microcopy is a real deliverable: error messages are where products feel human or hostile.
AI-generated visual UI looks finished and thinks nothing. Wireframes stay grey this week. App-builders return in Week 11 — with inspection habits.
5 · The Edge Case Hunt: pessimism as a service
After any flow: "8 edge cases ranked by how badly each damages trust." Then accessibility made specific — not "be accessible" but this flow's risks (photo capture with low vision, colour-only status, touch targets in gloves) — verified against WCAG, because models paraphrase guidelines loosely.
6 · From plan to prototype
flow → wireframe text → boxes → clickable path. AI accelerates every document before the canvas; the canvas is still judgment.
03This Week's Words
04Demo: "An App for Plant People"
A vague idea becomes an honest UX plan in five prompts — with the model's most dangerous output (plausible personas) caught and labelled in front of the room.
Instructor backup / finished example: ux-plan/flow.md ux-plan/wireframe.html ux-plan/personas.md. Use it if the live tool run fails, or to reveal the finished structure after critique.
- Assumption audit — every assumption in the sentence, sorted; the dangerous-to-guess items starred.
- Personas as hypotheses — two contrasting hypotheses, labelled, each with 5 test questions. "These people do not exist. They're hypotheses wearing name tags."
- Flow + unhappy paths — diagnose-my-plant with three failure states designed in; the Mermaid code pasted into mermaid.live becomes an instant diagram.
- Wireframe text — five screens with exact microcopy; one element overruled live and marked ⚠ ("on a diagnosis app the camera IS the app — moved, mine").
- Edge Case Hunt + accessibility — eight cases ranked by trust damage; one accessibility claim verified against actual WCAG numbers.
05Step-by-Step Workflows
The five-prompt UX planning kit (~45 min for any idea)
- Audit assumptions → sort three ways.
- Hypothesize 2 personas → label → write their test questions.
- Flow the core task → demand unhappy paths.
- Wireframe text per screen → exact microcopy → you box it.
- Attack: edge cases ranked by trust damage + flow-specific accessibility → verify against WCAG.
Wireframe from text (paper or Figma)
- Take one screen's wireframe text.
- Draw the boxes top to bottom — 5 minutes, ugly.
- Write the microcopy into the boxes — real labels, not lorem.
- Mark ⚠ any element you overruled — your judgment trail.
- Connect the happy path; add one unhappy-path branch.
06Prompt Recipes
07Lab: Edge Case Hunt (70 min)
Cold start friendly. No idea? Standing brief: an app that helps housemates fairly split chores without becoming the chore police.
- Kit prompts 1–3 (20 min): audit → labelled personas with test questions → flow with unhappy paths.
- Wireframe (20 min): prompt 4 for the text, then box it yourself — paper or Figma, 5 screens, microcopy written in, ⚠ marks where you overruled.
- The Hunt (15 min): prompt 5 → pick the 3 edge cases that most damage trust → amend your flow/wireframe to handle them. The amendment is the assessed thinking.
- Critique checklist (15 min): 6 lines (Week 2 method) from your brief + edge cases. Test against your own wireframe — at least one line should fail.
The question structures run beautifully on paper with a partner playing pessimist. Microcopy written by hand. Same deliverables, equal credit.
08Integrity Check
- Is every persona still wearing its
HYPOTHESISlabel — everywhere it travels? - Did any "users want…" sentence sneak in without a source? Kill it or mark it.
- Accessibility claims: checked against actual WCAG, or model paraphrase?
- Portfolio language: "Research direction AI-assisted; all user claims are labelled hypotheses pending research." Honesty reads as method maturity.
09Troubleshooting
| Problem | Fix |
|---|---|
| Personas feel so plausible | That's the danger. Plausibility ≠ truth. Read the label aloud; write the test questions |
| Flow is suspiciously clean | You got the happy path. Demand the unhappy paths — that's where the design is |
| Wireframe text wants to be pretty | "Grey boxes only, no styling" — repeat; fresh chat if it persists |
| Microcopy sounds like a chatbot | Run the de-roboter; ban "oops" by name |
| Edge cases are generic ("slow internet") | Demand specificity to YOUR flow: "edge cases unique to photo-diagnosing plants outdoors" |
| Figma overwhelms | Paper. Genuinely. The thinking is identical and faster today |
10Resources
- ArticleLinkedAI as a UX Assistant — Nielsen Norman GroupThe respected research org's framework for which UX roles AI can play — matches this week's structure/evidence split.
- VideoLinkedAI Isn't Ready for UX Design — NN/gThe skeptical counterpoint from people who test claims for a living. The skeptics are right about the dangerous part — know their argument. (Not embeddable — opens on nngroup.com.)
- ArticleLinkedAI-Generated Synthetic Users vs. Personas — IxDFDirectly on this week's central rule: what synthetic users can and cannot tell you.
- StandardLinkedWCAG Quick Reference — W3CThe actual accessibility standard. Verify model claims here — paraphrase is not compliance.
- ToolLinkedMermaid Live EditorPaste AI-generated flow-diagram code, get instant diagrams. The fastest text-to-flow path there is.
- DocsVerify before teachingFigma AI features documentationFigma's AI tooling changes quarterly — check what exists on your tier the week you teach. The planning chain works regardless.
Optional extension
- Take your 5 persona test questions and interview one real person (a housemate counts). Note every place reality disagreed — that delta is what research is for.
- Build the clickable path: 5 frames in Figma, linked. With the plan done, it's shockingly fast.
- Hard mode: write the research plan that would retire your "dangerous to guess" assumptions: method, participants, questions, time.
Next week: 3D Workflows → — Blender scene scaffolds via Python, and the Topology Reality Check.