Mobile App Information Architecture Design
We design mobile application information architecture so users find any function in three taps. A weak IA, designed without real scenario analysis, is the main reason for audience loss after the first launch. Our team with 5 years of mobile development experience has delivered over 50 projects with well-crafted architecture. Assess your project — contact us for a free consultation.
Why is mobile app information architecture critical?
Without thoughtful IA, users waste time searching, get frustrated, and delete the app. According to UX Salon, 70% of users leave an app if they cannot find the required feature in three taps. In mobile apps with deep hierarchies (4–5 levels), this metric doubles. Card sorting and tree testing at the IA stage reduce rework risk by 40%, saving up to two weeks of development.
Where does IA break most often? — Information Architecture Design
Deep hierarchies are the most common mistake. An app with 4–5 nested screen levels without a quick return to the top is almost a guaranteed onboarding failure. On iOS, the standard UINavigationController handles it, but the user does not.
Another typical situation: duplicating content in multiple sections. The product team adds “Favorites”, “History”, “My Purchases” as separate sections, although from the user’s mental model it’s all one object — “My”. As a result, the app has three different ways to get to the same thing, and none is obvious.
Errors in taxonomy — when categories overlap or do not cover all content — are discovered later. Card sorting with 15–20 real users at the IA stage eliminates most of them before they enter wireframes.
How we design the architecture
We start with a content and function inventory. Every screen, every action, every data type — into a table. Typically we end up with 40–120 entities for an average complexity app. After that — affinity mapping: grouping without regard to existing design.
Next — tree testing. A tool like Optimal Workshop Treejack or similar allows you to test the hierarchy without a single pixel of design. A test of 10–15 tasks, 20+ participants — and you already see where users get lost. This is incomparably cheaper than reworking a finished prototype.
For mobile apps, we separately work out:
- Primary navigation — Tab Bar (iOS) / Bottom Navigation (Android) vs. Drawer. Rule: if there are more than 5 sections and they are not comparable in usage frequency, think differently.
- Secondary navigation — how the user moves within a section, where to use push, modal, or contextual actions.
- Global entry points — search, notifications, profile. Their placement affects the rest of the hierarchy.
- Edge cases — empty states, errors, onboarding. They often fall out of IA and are added chaotically later.
Output — a structured diagram in Figma (FigJam) or Miro: a visual tree with transition types and section priority. Not just a sketch, but a document from which a designer takes wireframes and a developer takes routing structure.
Example: for a food delivery app, we reduced the number of sections from 5 to 3 by merging “Orders”, “Delivery”, and “History” into one block. Tree testing showed a 34% increase in search success. This saved the client two weeks in rework.
How to evaluate information architecture quality?
The best method is tree testing. Formulate 10–15 typical user tasks and check if test participants can find the desired section. If success rate is below 80%, the architecture should be reconsidered. Additionally, use card sorting to verify category grouping.
Full IA design cycle
- Content and function inventory
- Card sorting with 15–20 users
- Hierarchical diagram creation
- Tree testing with 20+ participants
- Documentation with rationale
Artifacts and applicability
| Artifact | Tool | For whom |
|---|---|---|
| Content inventory | Notion / Google Sheets | PM, designer |
| Hierarchical diagram (sitemap) | FigJam / Miro | Designer, developer |
| Card sorting results | Optimal Workshop | UX researcher, PM |
| Tree test report | Treejack | PM, designer |
| IA document with rationale | Confluence / Notion | Entire team |
An IA document outlives its initial purpose. A good document is used when adding new features 6–12 months later, after the original team has changed.
Comparison of IA validation methods
| Method | Goal | Participants | Resources |
|---|---|---|---|
| Card sorting | Determine category grouping | 15–20 | 2–3 hours, sheets or service |
| Tree testing | Test navigation in hierarchy | 20+ | 1–2 hours, service (Treejack) |
Timelines and stages
For a simple app (10–20 screens), the full cycle — 1 day: inventory + diagram + basic validation. For a medium app (30–60 screens) with card sorting and tree testing — 2–3 days. Complex enterprise apps or rebranding an existing product with accumulated content — a separate story, timelines discussed after audit.
Cost is calculated individually after analysis of requirements and existing materials.
What’s included in the work
- Content and function inventory (40–120 entities)
- Card sorting with 15–20 users
- Hierarchical diagram in FigJam/Miro
- Tree testing with 20+ participants
- Documentation with rationale (Confluence/Notion)
- Consultations on implementation and adaptation for new features
Get a consultation on your project — contact us. Order turnkey information architecture design. We’ll complete the full cycle — from inventory to documentation. We’ll assess your project in 1 business day.