UX is the full experience around a product: what people expect, understand, do, recover from, and remember.
| Layer | Question |
|---|---|
| Product logic | Does the product ask for the right action at the right time? |
| Information architecture | Can people find the thing they came for? |
| Content | Do labels, errors, and explanations match how users think? |
| State design | Do loading, empty, error, success, and permission states explain what is happening? |
| Service flow | What happens before and after the screen: sales, onboarding, support, billing, cancellation? |
| Area | Usability asks | UX also asks |
|---|---|---|
| Task | Can the user complete it? | Should this task exist in this form? |
| Time | How long does it take? | Does the time feel justified by the risk or value? |
| Error | Can the user recover? | Does the product prevent avoidable mistakes? |
| Trust | Is the interface clear? | Does the whole product feel reliable enough to use again? |
| Support | Can help be found? | Why did the user need help in the first place? |
| UX area | What to check |
|---|---|
| Research | User jobs, anxieties, language, constraints, and decision moments. |
| Product strategy | What the product should make easier and what it should avoid. |
| Interface design | Hierarchy, states, controls, feedback, accessibility, and interaction quality. |
| Content design | Labels, microcopy, onboarding, errors, help, and empty states. |
| Trust and risk | Permissions, data handling, payment moments, confirmation, and recovery. |
| Measurement | Task success, activation, retention, support demand, error recovery, and qualitative feedback. |
| Step | What to inspect |
|---|---|
| Before use | Promise, pricing, expectations, social proof, onboarding path. |
| First use | Setup, permissions, data entry, first success, default states. |
| Core task | Flow order, decision load, feedback, errors, progress, state changes. |
| Edge cases | Empty states, failed payment, wrong role, missing data, timeout, cancellation. |
| After use | Confirmation, next step, receipt, support, account history, re-entry. |
| Missed area | What happens |
|---|---|
| Onboarding is treated as a tour. | Users learn features before they understand value. |
| Errors are written late. | The product blames the user instead of helping them recover. |
| Support is separated from product. | Repeated support questions never become product fixes. |
| Accessibility is checked at the end. | Basic interaction problems become expensive to fix. |
| Metrics are too broad. | The team sees conversion or retention but not the task-level cause. |
At heartbeat, we help AI-native and high-growth teams turn complex products into sharper brands, clearer websites, and product experiences people understand.
AI-native GovCon workspace
GovEagle helps government contractors connect pursuit knowledge across BD, capture, proposals, and delivery.
We refreshed the identity, designed and built the website, and created marketing materials and tools their team could keep using.
AI-powered ad tracking and attribution
Hyros helps performance teams track revenue across paid channels and feed cleaner data into AI-driven marketing decisions.
We refreshed the brand, improved core UI surfaces, redesigned the website, and supported the product with senior execution.
AI-powered playtesting for mobile games
Emhance helps game teams understand player emotion through eye-tracking, facial coding, and AI-powered creative analysis.
We created the identity, brand guidelines, launch video direction, and website experience for a sharper market launch.