Heuristic Evaluation
A structured usability review against established heuristics, screen by screen.
UX Audit for AI Products
A design-discipline audit of your product's user experience, run as a structured heuristic evaluation against your core flows. We also assess the UX patterns specific to AI products: how you signal confidence, handle latency, and let a user recover from a bad model output. This is a UX review, not a code or infrastructure audit.
1-2 Weeks
Typical Audit Turnaround
What the UX Audit Covers
1
Heuristic Evaluation
- Nielsen's usability heuristics applied against your core user flows: system status, error prevention, recognition over recall, and more
- A screen-by-screen walkthrough of onboarding, the core workflow, and any paid or upgrade flow
- A consistency check across screens: does the same action look and behave the same way everywhere
- An accessibility pass against WCAG basics: contrast, focus states, keyboard navigation
2
AI-Specific UX Patterns
- Trust indicators: whether the UI signals when output is AI-generated, and shows confidence or uncertainty where it matters
- Latency handling: streaming responses, skeleton states, and progress indicators for anything slower than roughly a second
- Error and failure states: what a user sees when the model times out, returns something wrong, or hits a rate limit
- Correction and feedback loops: whether a user can easily edit, regenerate, or flag a bad output, and where that feedback goes
3
Onboarding and First-Use Experience
- Time to first value: how many steps and how much friction before a new user sees the product actually work
- Empty states: what a user sees before they've generated any content or connected any data
- Progressive disclosure: whether advanced AI controls, like model choice or custom prompts, overwhelm a first-time user
- Expectation-setting: whether the UI tells users what the AI can and can't do before they try it
4
Findings and Prioritization
- Every finding rated by severity, from blocks task completion to minor friction, on a standard usability severity scale
- Screenshots and annotated screen recordings for every issue, not just a text description
- A comparison against two or three direct competitors' handling of the same interaction pattern where relevant
- A prioritized fix list ordered by user impact versus implementation effort
What the Audit Evaluates
Standard usability review plus AI-specific interaction patterns
AI Trust and Confidence Review
How your UI signals AI-generated output, confidence, and uncertainty.
Latency UX Review
Streaming, skeleton states, and progress indicators for slow AI responses.
Error State Audit
What users see and can do when a model fails, times out, or returns a bad result.
Onboarding Review
Time-to-first-value and friction points in the first-use experience.
Accessibility Check
A WCAG-basics pass on contrast, focus states, and keyboard navigation.
Competitive Pattern Comparison
How competitors handle the same interaction, used as a reference where relevant.
Prioritized Fix List
Findings ranked by user impact versus effort to fix.
What Makes This Audit Different
A design audit, not a code audit
We evaluate the experience your users actually have. This is a UX review, not a technical or infrastructure audit.
AI-specific patterns, not generic usability
Latency handling, confidence signaling, and error recovery for model outputs are patterns most usability checklists don't cover. Ours is built specifically for AI products.
Every finding has a severity and a fix
No vague notes to consider improving something. Each issue is rated by severity and paired with a specific, actionable recommendation.
We show, not just tell
Annotated screen recordings accompany every finding, so your team sees exactly where and how the issue shows up.
What Makes This Audit Different
A design audit, not a code audit
We evaluate the experience your users actually have. This is a UX review, not a technical or infrastructure audit.
AI-specific patterns, not generic usability
Latency handling, confidence signaling, and error recovery for model outputs are patterns most usability checklists don't cover. Ours is built specifically for AI products.
Every finding has a severity and a fix
No vague notes to consider improving something. Each issue is rated by severity and paired with a specific, actionable recommendation.
We show, not just tell
Annotated screen recordings accompany every finding, so your team sees exactly where and how the issue shows up.
UX Audit for AI Products FAQ
The codebase audit reviews your technical implementation: architecture, security, test coverage, infrastructure. This UX audit reviews the experience a user actually has: whether flows are clear, whether errors are handled gracefully, whether an AI feature communicates its confidence and limitations. They're complementary but separate disciplines, and most clients that need one don't necessarily need the other.
The most common ones: no visual distinction between AI-generated and human-authored content, no loading or streaming state for responses that take more than a second or two, generic error messages when a model call fails instead of a clear next step, and no easy way for a user to correct or regenerate a bad output. A generic usability review often misses these.
The core audit is a heuristic evaluation, an expert review against usability principles, not user interviews or moderated usability testing with real participants. If you want testing with actual users, that is a separate engagement we can scope alongside or after the audit.
A written report with every finding rated by severity, annotated screen recordings showing where each issue appears, and a prioritized fix list ordered by user impact versus effort to implement. We walk through it together on a call so nothing gets lost in a document nobody opens.
Trusted by Global Companies Building AI Products
We've helped startups and enterprises worldwide transform their AI ideas into production-ready MVPs in 2–3 weeks. From fintech platforms to AI assistants, our global MVP development services have launched 18+ AI products serving users across the US, Europe, and Asia.
Portfolio: AI Products Built for Global Startups
From content platforms and AI assistants to analytics dashboards and fintech solutions: see how we've transformed ideas into production-ready MVPs in 2-3 weeks across diverse industries. Each product here is one our team worked on.
UseArticle
AI-powered content creation and management platform that helps teams produce high-quality articles at scale.
AgentHi
Intelligent virtual assistant that streamlines customer support and automates routine business tasks.
StatsHub
Comprehensive analytics dashboard providing real-time insights and data visualization for businesses.
Harimaxx
Personal fitness companion with AI-driven workout plans and nutrition tracking for optimal health.
Vaga
Smart travel planning app that curates personalized itineraries and local experiences.
FoodScan
Nutrition analysis app that scans food items and provides detailed nutritional information instantly.
MyJobReach
Job matching platform connecting talented professionals with their dream opportunities.
TravelGram
Social platform for travelers to share experiences, discover destinations, and connect globally.
SuperStatz
Advanced sports statistics platform delivering in-depth analysis and performance metrics.
Cashbook
Simple expense tracking and budgeting app that helps users manage their finances effortlessly.
TypeFast
Typing speed improvement platform with gamified lessons and real-time performance tracking.
Easy Loan
Streamlined loan management system that simplifies borrowing and lending processes.
Explore Related Content
Discover more services, technologies, case studies, and resources
Service
MVP Codebase Audit
Inherited a half-finished MVP? Pre-investor due diligence? We do a 5-day deep audit of your codebase, infra, and AI surfaces, and hand you a prioritized fix list with effort estimates so you know exactly where to spend the next four weeks.
Service
Post-MVP Iteration and Growth
Your MVP launched. Now build what users actually need. We run structured iteration cycles, 2-week sprints that ship improvements, new features, and AI quality upgrades based on real usage data.
Service
Voice-First AI Development
Voice-first AI covers speech-to-text, text-to-speech, and the voice agents built on top of them: systems where the primary interface is a phone call or spoken interaction, not a text box. That means different architecture decisions than a chat product: streaming audio pipelines, turn-taking and interruption handling, telephony integration, and latency budgets measured in hundreds of milliseconds, not seconds.
Service
Wearable App Development
watchOS and Wear OS app development for Apple Watch and Android-based smartwatches, built around constraints that don't exist on phones: a screen under two inches, short glance-based sessions, and a battery budget that punishes background work. Covers complications, health sensor integration through HealthKit and Health Connect, and the choice between a standalone watch app and a companion app that depends on a paired phone.
Technology
Hire Lovable Developer
Ready to Build Your MVP?
Schedule a complimentary strategy session. Transform your concept into a market-ready MVP within 2-3 weeks. Partner with us to accelerate your product launch and scale your startup globally.
The call is 30 minutes with Diyanshu Patel, our CEO and co-founder. Afterwards you get a written proposal with timeline, pricing and development plan.
Calendar not loading? Open the booking page or email diyanshu@speedmvps.com.