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Information Architecture IA

⬢ NIVÅ 2Tekniskt
Medel
Lönepåverkan
2 månader
Tid att lära sig
Medel
Svårighetsgrad
12
Karriärer
I korthet

Information architecture (IA) is designing how information is organized: navigation structures, categorization, labeling, search. Examples: website sitemap, app tab layout, knowledge base taxonomy. Mastery takes 3-4 weeks of user research, card sorting, taxonomy design. You earn 10-20% premium by reducing user confusion (30% fewer support tickets, higher conversion). It's rare because most teams skip IA (jump straight to design) and suffer misclassification, lost users, poor SEO.

Vad är Information Architecture IA

Information Architecture (IA) is the structural design of information environments. It answers: "How is this information organized? How do users find what they need? What categories exist, and how are they labeled?" Examples: a website's navigation menu (categories, hierarchy), an app's bottom tab bar (primary sections), a knowledge base's taxonomy (how articles are grouped). IA is the skeleton on which UI is hung.

🔧 VERKTYG & EKOSYSTEM
Card sorting toolsMiroOptimal WorkshopTree testingAnalytics dataUser researchTaxonomy designWireframing

📋 Innan du börjar

Interaction Design Advanced

💰 Lön per region

OmrådeNybörjareMidErfaren
USA$65k$108k$160k
UK£40k£66k£98k
EU€46k€75k€112k
CANADAC$62kC$103kC$155k

❓ Vanliga frågor

What's the difference between IA and UX?
IA is structure (where things live, how they're organized). UX is experience (how it feels to use). IA = architecture of a building (layout, rooms, hallways). UX = paint color, furniture, lighting. Good IA is invisible: users find what they need easily. Bad IA is felt: users get lost. IA is prerequisite for good UX.
How do I decide if content should be under 'Support' or 'Resources'?
Card sorting: show 20-30 content items (cards) to users, ask them to group into categories and name categories. Analyze: where do users put the item? If 80% say 'Support', use that. Don't decide alone; let users decide.
What's a taxonomy and how do I build one?
Taxonomy is a hierarchical classification (like biological taxonomy: Kingdom → Phylum → Class). For a knowledge base: Topics → Subtopics → Articles. Build it: analyze existing content, group by theme, name groups, create hierarchy. Validate with tree testing (users navigate mock hierarchy).
How do I handle items that belong in multiple categories?
Use tags or faceted navigation. Example: article 'AWS Billing' could be in Pricing OR AWS OR Cloud. Don't force one-category-only; let users filter by multiple tags. Faceted search: filter by technology + use case + difficulty level.
What's tree testing and when should I do it?
Tree testing is validating navigation structure before building it. Show users a text-only hierarchy (no design). Ask: 'Find [X task].' Users navigate the tree; you measure success rate (found it?), efficiency (how many clicks?). Iterate tree based on feedback before building UI.
How does IA affect SEO?
IA determines URL structure, internal linking, content clustering. Flat, clear IA = better crawlability. Related content linked together = stronger semantic signals. Hierarchical categories = keyword-rich breadcrumbs. Good IA is good for SEO.

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