Information architecture (IA) is the practice of structuring and labeling the content in your product so people can quickly find what they need and understand where to go next. When teams ask how do you start building your information architecture, the real answer is: you start by aligning users, business, and content into a clear, testable structure.

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TL;DR – How to start your IA without getting stuck

• Begin with user goals and mental models, not menus or page templates.
• Align those goals with clear business objectives so IA supports outcomes, not just “order.”
• Audit what content and objects you actually have (or need), then group and prioritize.
• Turn those groups into a simple structure map, then name things with clear, user-friendly labels.
• Connect it all with navigation and flows, and validate quickly with real users.

How do you start by understanding user goals?

Clarify who you’re serving and what they’re trying to do

The first step in starting your information architecture is to understand who your users are and what success looks like for them. In practice, I never open a diagram tool before I can answer basic questions about the people who will use the product. If you skip this, you end up with a structure that mirrors your org chart instead of your users’ mental models.

You need to answer questions like:

• Who are the primary and secondary user groups?
• What are the top 3–5 tasks they come to you for?
• What information do they need before, during, and after those tasks?

Use lightweight research if you’re short on time: 5–8 user interviews, a quick survey, or even listening to support calls. Based on experience, even a day of focused research can reveal patterns in language and expectations that will shape your IA. Turn those insights into simple personas and “day-in-the-life” scenarios that you can reference when making structural decisions.

Map mental models to future structure

Once you know what users want, you need to understand how they think about the domain. Mental models are the internal maps people carry about how something should work, and your IA should align with them as much as possible. According to UX research, mismatched mental models are a top cause of navigation failures.

Look for clues in how users naturally group concepts and terms during interviews. For example, in a B2B SaaS tool, some users might think in terms of “Projects” while others think in terms of “Clients”—that choice will drive your top-level categories. Capture these mental models in a simple list or diagram, and keep it visible; every structural decision should be checked against it.

How do you align IA with business objectives?

Connect user tasks to measurable outcomes

After you understand user goals, connect them directly to what the business needs to achieve. A solid answer to how do you start building your information architecture always includes this alignment step, otherwise you risk optimizing for usability without impact. In workshops I run, we literally map each key user task to one or more business outcomes.

Work with stakeholders to clarify:

• What are the primary business goals (e.g., sign-ups, purchases, retention)?
• What secondary goals matter (e.g., education, engagement, lead quality)?
• Which user tasks most strongly influence those goals?

Create a simple matrix: rows for user tasks, columns for business goals, and mark where they intersect. This makes trade-offs explicit when you prioritize content and navigation later. Industry standards in product strategy recommend this kind of mapping to avoid the “everything is important” trap that leads to bloated menus.

Decide what IA should do for the business

Next, define the specific role IA plays in achieving those goals. For an e-commerce site, IA might primarily reduce friction in product discovery; for a complex SaaS platform, it might help new users understand the product model quickly. Based on experience, when you name this role explicitly, it keeps you from overcomplicating the structure.

Discuss questions like:

• Should the structure highlight breadth (exploration) or depth (power usage)?
• Where should we intentionally guide users toward high-value actions?
• Which areas can remain “secondary” or tucked away?

Document these decisions in 1–2 concise statements, such as: “Our IA should make it obvious how to start a new project within 10 seconds of landing in the app.” This becomes a benchmark you can test against later with simple usability tasks and analytics.

How do you analyze competitors and your current content?

Learn from competitor structures without copying blindly

Before you define your own structure, analyze how similar products organize information. Research shows that users carry expectations from one product to another, so understanding common patterns reduces cognitive friction. However, you want to understand why those patterns exist, not just replicate them.

Pick 3–5 direct competitors and 2–3 adjacent products your users often use. For each, map:

• Top-level navigation labels and how many there are
• Key flows (e.g., “browse → detail → checkout”)
• Where important information lives in the hierarchy

Use a simple SWOT lens focused on structure:

• Strengths: What feels intuitive or fast?
• Weaknesses: Where do you get lost or confused?
• Opportunities: Where could your product simplify or clarify?
• Threats: Are there patterns you must match to avoid surprising users?

Inventory and audit your content or core objects

If you’re redesigning, the next practical step is a content inventory: a structured list of what you currently have. In practice, this is usually a spreadsheet with columns like: URL or screen ID, title, type (article, feature, setting), owner, last updated, and performance metrics. For a new product, you can do the same exercise with planned content and core objects (e.g., “Projects,” “Invoices,” “Reports”).

Then perform a content audit by asking for each item:

• Does this support a key user task?
• Does it contribute to a business goal?
• Is it accurate, current, and worth maintaining?

Tag items as “Keep,” “Revise,” or “Remove.” According to experts in content strategy, disciplined pruning at this stage pays off later with a simpler, more coherent IA. It also prevents the common mistake of creating navigation just to accommodate outdated or low-value content.

How do you group, prioritize, and map the structure?

Turn raw content into logical groups

With your inventory and goals in hand, start grouping items into logical categories. This is where you move from “what we have” to “how it should be organized.” A common real-world example is grouping an education platform’s content into “Courses,” “Resources,” and “Support” instead of a long flat list of pages.

Use methods like:

• Open card sorting (users create their own groups and labels)
• Closed card sorting (users sort into predefined buckets)
• Quick internal sorting sessions as a starting point

Even 5–10 participants in a card sort can reveal consistent groupings and language. Tools like OptimalSort or simple sticky-note sessions work well here. The key is to let user language influence your categories while still reflecting business priorities.

Prioritize what gets prominence in the hierarchy

Not every category deserves a top-level spot. Based on experience, high-performing IAs usually limit top-level navigation to 5–7 items to reduce choice overload. Use your earlier task–goal matrix and analytics (if available) to decide what belongs at the top and what can sit one level down.

Ask:

• Which sections support the most frequent or most valuable tasks?
• Which areas cause the most confusion today (and need clearer access)?
• What can safely be nested under a broader, meaningful category?

Create a first-draft structure map: a simple outline showing levels (e.g., Home → Products → Laptops). At this point, don’t worry about visual design; focus on hierarchy and relationships: parent/child, siblings, and cross-links. This working map becomes the backbone for your sitemap in the next step.

How do you create and communicate the IA with labels and navigation?

Turn the structure into a clear sitemap

Now translate your outline into a sitemap: a diagram that shows pages or sections as boxes and their relationships as lines. According to industry standards, a sitemap should answer “Where does this live?” and “How do I get there?” at a glance. It’s a communication tool for designers, developers, and stakeholders.

A practical sitemap often includes:

• Top-level sections and their child pages
• Key cross-links (e.g., “Related articles,” “See also”)
• Entry points for critical flows (e.g., “Start free trial”)

Keep it simple—rectangles and arrows in tools like FigJam, Miro, or even PowerPoint are enough. In practice, I keep an editable “working sitemap” and a cleaner “stakeholder version” so we can iterate quickly without confusing non-designers.

Craft labels that match user language

Labels are the words you use for navigation items, section titles, and key actions. Clear, consistent labeling often has more impact on findability than any visual tweak. Research shows that users rely heavily on familiar, descriptive terms when scanning menus.

When naming, follow these principles:

• Use the words users use in research (“Billing” instead of “Revenue Operations”)
• Prefer concrete labels (“Pricing,” “Support”) over vague ones (“Resources,” “Solutions”) unless you test them
• Keep labels short but specific (1–3 words)

Test labels quickly with tree testing: give users a text-only version of your structure and ask where they’d click to complete a task. If many people fail to find “Tutorials” under “Academy,” for example, consider more direct wording like “Learning” or “How-to Guides.” This small investment drastically improves the effectiveness of your IA.

How do you connect IA to real user flows and next steps?

Design navigation and flows that reflect the structure

The final step is to connect your structure to real interactions: how users move from A to B. Navigation patterns (top nav, side nav, breadcrumbs, in-page links) should reflect, not fight, the IA you just defined. When teams wonder how do you start building your information architecture in a way that actually works, this is where the theory meets reality.

Map key user flows on top of your sitemap, such as:

• New user sign-up and first key action
• Returning user finding a specific item
• Customer seeking help or contacting support

Check that each flow:

• Starts from realistic entry points (homepage, deep links, search results)
• Uses labels and paths that match user expectations
• Reaches the goal in as few clear steps as possible

Validate quickly and iterate, not endlessly

No IA is perfect on the first try, and that’s normal. According to usability best practices, even a handful of moderated tests can uncover 80% of major navigation issues. Build low-fidelity prototypes (even clickable wireframes) that reflect your new structure and test with 5–8 users per key segment.

Watch for:

• Where users hesitate or backtrack in navigation
• Terms they don’t understand or misinterpret
• Sections they never notice but should

Use analytics post-launch to validate: search terms, page depth, and drop-off points tell you where IA may be failing. The most reliable teams treat IA as a living system—reviewing it quarterly or after major product shifts—rather than a one-time project.

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Conclusion: Putting it all together in one focused week

To recap, when you ask how do you start building your information architecture, the practical path is: understand user goals, align with business objectives, analyze competitors and content, group and prioritize, then express it through a clear sitemap, labels, and navigation flows. Each step builds on the last, so you always know why you’re making a structural decision, not just what it should be.

You don’t need months to get started; many teams complete a solid first version of this process in one focused week, then refine over time. If you apply these seven steps with real user input and honest business alignment, you’ll end up with an information architecture that helps people find what they need faster—and helps your product deliver measurable results.