Information architecture
skills employers want

Information architecture (IA) is organising, structuring and labelling content so people can find what they need and understand where they are. It covers content inventories and audits, grouping and hierarchy, navigation systems, labelling, taxonomies and metadata, search, and validation through research. IA work happens within UX design, content strategy and dedicated information architect or taxonomist roles.

Research methods are central. Card sorting reveals how people group topics in their own minds,¹ and tree testing measures whether they can find things in a proposed hierarchy before any visual design.² IA also affects discoverability by search engines, which rely on clear structure and crawlable internal links.³ Dedicated information architects are fewer but senior — AmbitionBox lists them at a typical ₹24.1–30.7 lakh from a small sample⁴ — while IA skills more often strengthen UX designer roles, typically ₹12.6–13.9 lakh.⁵

Core IA research methods: card sorting and tree testing

2

Typical information architect pay in India (AmbitionBox, small sample)

₹24.1–30.7 lakh

Typical UX designer pay in India (AmbitionBox)

₹12.6–13.9 lakh

Typical content strategist pay in India (AmbitionBox)

₹7.7–8.5 lakh

Table: How information architecture skills are assessed (editorial summary)

Table: Example tree test results before and after restructuring (illustrative)

Directness — finding the item without backtracking — shows how clear the path is, not just whether people eventually succeed.

Table: How information architecture has changed (editorial summary)

• A content inventory for a real site
• An open card sort with analysis
• A proposed structure and labels
• Tree-test results before and after
• A taxonomy or facet model
• A verified information architecture certification

Show findability gains: "Restructured 1,200-page services site from card sorts with 30 citizens; tree-test success for top tasks from 44% to 85% average; support calls about 'where to find' down 30%."

"Card sorting or tree testing?"

Card sorting to understand mental models and generate structures; tree testing to validate a structure.

"How do you choose labels?"

Use words users use — from research, search logs and support tickets — and test them.

"How deep should a hierarchy be?"

Deep enough to stay clear, shallow enough to scan; test it rather than follow a rule.

"How do you handle content that fits in two places?"

Choose a primary home and use cross-links or tags for secondary paths.

"How does IA support search?"

Consistent metadata, synonyms and taxonomies improve results and filters.

• "Who owns content, and how is it maintained?" — reveals governance.
• "Do you have search logs?" — a goldmine for labels.
• "How has the structure been tested?" — shows maturity.
• "Is there a taxonomy or tagging system?" — sets scope.

Table: IA-related roles and typical pay in India (AmbitionBox, October 2026; indicative)

Table: Common information architecture tools (editorial guidance)

• UX / content designer — IA within projects.
• Information architect — large-scale structures.
• Taxonomist / content strategist — metadata and governance.
• UX lead — product-wide structure.
• Head of content or UX — strategy.

1. Week 1: Inventory — Audit a real site's content.
2. Week 2: Card sort — Run an open sort with 15+ people.
3. Week 3: Structure and test — New hierarchy; tree test it.
4. Week 4: Prove it — Publish results and take the Information Architecture Certification.

Related: Content Strategy and UX Research. Guides: content strategy, UX research and service design.

• Navigation reviews — new sections and features.
• Labelling decisions — with writers and SEO.
• Taxonomy updates — new categories and tags.
• Search analysis — failed queries.
• Testing — tree tests for changes.
• Governance — keeping structure tidy.

"How do you design navigation for mobile?"

Prioritise top tasks, keep hierarchy shallow, use search and contextual links.

"How do you convince stakeholders to drop org-chart navigation?"

Show tree-test results with users — data beats opinions.

Table: A first-90-days plan (editorial guidance)

IA work is persuasive when it's measured. Start with an inventory and the top tasks users come to do, and baseline how findable they are. Use card sorting to learn users' language, propose a structure and validate it with tree testing before visual design. Roll changes out with redirects and governance so the structure stays healthy. Specialists who can show findability gains in numbers become trusted advisers on any large site.

These two methods are the backbone of most IA work, and interviewers often ask you to walk through them.

Card sorting helps you understand how people group content. Write 30–60 content items on cards (digital tools make this easy). In an open sort, participants create and name their own groups; in a closed sort, they place cards into categories you provide. Look for items that people consistently group together, items that end up everywhere, and the words they use for group names. Fifteen to thirty participants usually reveal clear patterns.

Tree testing checks whether people can find things in a proposed structure without visual design. Give participants a text-only version of the navigation and realistic tasks, such as "Where would you go to update your billing address?" Measure success rate, directness (did they go straight there?) and time. Look at where people first click when they fail, because that shows which labels mislead them.

Use card sorting to generate a structure and tree testing to validate and refine it, then test again after changes. In your portfolio, show the results charts, the decisions they informed and the improvement between rounds.

A good IA also needs a plan for growth: who can add new sections, how labels are agreed, and how the structure is reviewed as content expands.

• Org-chart navigation.
• Clever or internal labels.
• Skipping validation.
• Ignoring search.
• No governance after launch.

Card sorting and tree testing guidance comes from Nielsen Norman Group; structure and linking guidance from Google Search Central; and India pay from AmbitionBox (read October 2026, small sample for information architects). The tree-test table, assessment formats and history are editorial. Science of Apps publishes the free certification linked here. Last reviewed October 2026.

• Information architecture — organising and labelling content for findability.
• Card sorting — participants group topics to reveal mental models.
• Tree testing — testing findability in a text-only hierarchy.
• Taxonomy — a structured classification of content.
• Directness — finding an item without backtracking.