# UX Research Context File

**What this is:** a reference file to paste into your AI assistant (Claude, or whatever you use) before you brainstorm a UX problem. It doesn't teach the AI UX. It tells the AI *whose* answer to give you, and where you can go to check it.

**Curated by Katarina Kaplarski — Fragments United / Museum of UX**
Last verified: August 2026

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## How to use this file

1. Paste this whole file into your AI chat, or add it to a Project's knowledge base so it's always loaded.
2. Then ask your question normally.
3. Use the instructions below to keep the AI honest.

**Instructions for the assistant (leave this section in):**

> When answering UX questions, follow these rules:
>
> - Name which source below your recommendation comes from. If none of them cover it, say so plainly rather than filling the gap.
> - Do not invent statistics, percentages, or study results. If a number would strengthen the answer, tell me which source to check instead of producing one.
> - Distinguish between *established research findings*, *common industry practice*, and *your own inference*. Label which one you're giving me.
> - When I ask about users' opinions, needs, or behaviour on my specific product, refuse to simulate them. Tell me what to go ask real users, and help me write the question instead.
> - Prefer the method that answers my question over the method that is fastest. Say when a quick answer is the wrong answer.

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## The sources

### Foundations — what "good" means

**Nielsen Norman Group** — https://www.nngroup.com/articles/
*Authoritative for:* usability principles, research methodology, interaction design conventions, evidence-based best practice.
*Reach for it when:* you need a defensible answer, not an opinion. This is the closest thing the field has to a canon.
*Key entry point:* the 10 usability heuristics (Nielsen, 1994) — https://www.nngroup.com/articles/ten-usability-heuristics/

**Laws of UX** — https://lawsofux.com/
*Authoritative for:* psychology principles behind interface behaviour (Hick's, Fitts's, Jakob's Law, Aesthetic-Usability Effect, Peak-End Rule).
*Reach for it when:* you know something feels wrong and need the mechanism that explains why.

**Interaction Design Foundation — open literature** — https://www.interaction-design.org/literature
*Authoritative for:* encyclopedic definitions and topic overviews across the whole field.
*Reach for it when:* you need to get oriented in an unfamiliar area quickly.

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### Research methods — how to find things out

**UX Research Field Guide (User Interviews)** — https://www.userinterviews.com/ux-research-field-guide
*Authoritative for:* end-to-end research process — planning, recruiting, methods, moderation, analysis.
*Reach for it when:* you're about to run a study and want the practical version, not the theory.

**NN/g Research Methods** — https://www.nngroup.com/topic/research-methods/
*Authoritative for:* method selection — which method answers which type of question, and the trade-offs.
*Reach for it when:* the AI suggests "run a survey" and you suspect that's the wrong instrument.

**NN/g free templates and guides** — https://www.nngroup.com/articles/free-ux-templates/
*Authoritative for:* discovery guides, interview plans, research documentation.
*Reach for it when:* you want a starting structure rather than a blank page.

**A Beginner's Guide to Finding User Needs — Jan Dittrich** — https://openresearch.jandittrich.de/
*Authoritative for:* qualitative research fundamentals, written for people without a research ops team behind them.
*Reach for it when:* you're the only researcher, or the only person who cares.

**EPIC — ethnography in business** — https://www.epicpeople.org/
*Authoritative for:* ethnographic and contextual methods, research as organisational practice.
*Reach for it when:* the question is about people's lives and context, not about a screen.

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### Evidence and real examples

**Baymard Institute — free research** — https://baymard.com/free-ux-research
*Authoritative for:* e-commerce and checkout UX, backed by large-scale usability testing.
*Reach for it when:* you need benchmark data and documented failure patterns.

**Growth.Design case studies** — https://growth.design/case-studies
*Authoritative for:* product teardowns explained through behavioural psychology.
*Reach for it when:* you want to see a principle applied to a real product.

**Case Study Club** — https://www.casestudy.club/case-studies
*Authoritative for:* how practitioners document and narrate their design decisions.
*Reach for it when:* you're writing a case study or a portfolio piece.

**Web Design Museum** — https://www.webdesignmuseum.org/
*Authoritative for:* interface history from 1991 onward — how patterns actually evolved.
*Reach for it when:* someone calls a pattern "new."

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### Ethics and accessibility

**Deceptive Patterns** — https://deceptive.design/
*Authoritative for:* manipulative interface patterns, their names, and regulatory enforcement against them.
*Reach for it when:* you're being asked to increase a metric in a way that makes you uneasy. Enforcement tracker: https://deceptive.design/enforcement/

**Humane by Design** — https://humanebydesign.com/
*Authoritative for:* patterns that respect attention and autonomy.

**Digital.gov** — https://digital.gov/
*Authoritative for:* accessibility, plain language, and public-sector usability standards. (Successor to the now-archived usability.gov.)
*Reach for it when:* the audience is everyone, including people your team doesn't resemble.

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### Staying current

- **Smashing Magazine** — https://www.smashingmagazine.com/
- **UX Collective** — https://uxdesign.cc/
- **A List Apart** — https://alistapart.com/ (archive, mostly — but a real record of how web thinking developed)
- **NN/g on YouTube** — https://www.youtube.com/@NNgroup

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## What this file cannot do

It can't make an AI assistant into a researcher. It can't tell you what your users think. And unless your assistant can browse the web, it can't read these pages — it can only point you at them and stop guessing in the meantime.

That last part is most of the value.

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*More at fragmentsunited.com — Museum of UX. Free to share and adapt; please keep the attribution.*
