System-Wide UX Optimization

Running a company with over 25 employees? Design inconsistency is a challenge. Take this healthcare enterprise product suite we helped. As their products expanded, UX debt accumulated. The lack of a unified experience interfered with the clinician’s decision-making and problem-solving. Through usability audits, we uncovered issues like: - Inconsistent UI patterns across devices. - Complex data visualization. - Limited accessibility. As a result, providers struggled to find patient info and made errors due to complicated workflows. These delays and mistakes posed risks to patient health and safety. The negative cost: - New feature roll-out slowing system performance - Persistent increase in technical debt hampering innovation - Longer development time for minor fixes due to code errors To address this, we applied the atomic design. Inspired by the chemistry principle, we broke UIs down into basic building blocks: Atoms → basic UI elements (buttons, inputs, icons) Molecules → groups of related atoms (search bars, notifications, cards) Organisms → sections of molecules/atoms (headers, sidebars, modals) Applying it led to consistent design across different screen sizes and made multi-app experiences more intuitive. Providers could finally switch between apps without relearning interfaces 🙌 Mapping out these atomic elements enabled the efficient development of products to meet accessibility guidelines. The impact: - Build times improved by 34% - Faster iterations & testing rose 24% UX technical debt? Overall eliminated. We were able to unify workflows to minimize patient risk and restore efficient clinical decision-making. Enhanced usability = improved delivery care. Consistency in UX design not only led to saving time and money but also to saving lives ❤️

Scaling UX decisions across teams is not about creating one perfect design. It is about creating decisions that keep working when ten more teams touch the same product. In growing organisations, every squad moves fast. But speed without shared patterns creates silent chaos. • Different buttons for the same action. • Different flows for the same task. • Different rules for the same user. Users feel the cracks before teams see them. The real job of UX at scale is to make consistency automatic. Not by forcing control. But by building systems that make the right choice the easiest choice. Start with decisions, not components. Document why something exists. Not just what it looks like. A pattern should answer three questions: - when to use it - when not to use it - what problem it solves Design systems are not style libraries. They are decision libraries. Each pattern is a reusable judgment call. Small rules. Big impact. • one spacing scale • one motion language • one voice for microcopy • one accessibility baseline This removes hundreds of tiny debates. Teams stop redesigning the same thing. They start solving new problems. Make patterns portable. A good pattern should: - work on web - work on mobile - work in future products If it only survives in one screen, it is not a pattern. It is a patch. Codify behaviour, not just visuals. Define: • loading states • error recovery • empty states • success feedback • Consistency in edge cases builds real trust. • Governance should feel like guidance. Instead of approval gates, create: clear usage docs live examples copy paste ready code Enable action. Avoid permission bottlenecks. Create a single source of truth. One place for: - tokens - components - patterns - content rules If people search in Slack to find answers, your system is failing. Design for change from day one. Every pattern should be: • versioned • measurable • replaceable Nothing is sacred. Everything is improvable. Use data to evolve patterns. Track: adoption rate overrides user errors task time Low adoption is feedback. Not rebellion. Build feedback loops between squads. Short rituals help: monthly pattern reviews cross team design crits shared backlog for system gaps This turns the system into a living product. Accessibility is the foundation, not an add on. Bake in: colour contrast keyboard flows screen reader labels If one team breaks it, everyone pays for it. Treat micro decisions as macro strategy. - A unified tooltip style. - A consistent form layout. - A predictable navigation model. These tiny agreements create brand level coherence. The goal is survival across products and squads. When a new team ships a feature, it should feel familiar on day one. Not because they copied a file. But because they inherited a way of thinking. Scale is not achieved by more designers. Scale is achieved when good decisions replicate themselves.

🌱 Set Up UX Office Hours To Scale Up Your UX Impact (https://lnkd.in/eevRpdng), a neat idea to scale up UX impact when PM and Engineering teams outnumber designers — to help product teams that might not have direct access to design expertise and spread the value of UX across the entire organization. Neatly put together by Raquel Piqueras Herrero from Microsoft. 🤔 Designers are often outnumbered by PMs and engineers. 🚫 Non-designers across teams have little to no exposure to UX. 🚫 The outcome: poor, fragile end-to-end UX of siloed products. ✅ With UX office hours, we make UX available to other teams. ✅ It’s consultations for products without dedicated UX support. ✅ Set up 1h weekly meetings: recurrent, time-protected slots. ✅ Allow teams to book 20 mins to get feedback and UX support. ✅ Schedule meetings mid-week to allow for issues to emerge. ✅ Send a “how-it-works” email with sample topics/questions. ↳ E.g. accessibility, checkbox vs. radio, design system, mobile. 🚫 Some requests are full-feature work → you’ll need to pre-approve. ✅ Ask for product name, feature, PM, desired feedback, docs, links. ✅ In Jira, delegate small consults to UX office hours with tags/flags. ✅ Keep an archive of requests and solutions in a single Figma file. ✅ Keep tabs on similar patterns or issues emerging across teams. As designers, we are often reluctant to invite engineers or PMs to design meetings because they don’t really “get” UX. But nobody wants to create a poor UX intentionally. It happens because UX never gets a chance to be a part of a conversation. And too often there is no established line of communication to early flag critical design mistakes before they reach production. But just like designers need technical feedback to avoid late implementation challenges, engineers need UX feedback to avoid complaints and regressions. They want to optimize user efficiency and customer satisfaction, just like they want to optimize code quality and team workflow. Instead of building walls, invite teams to build bridges. But what if you set up UX hours — and absolutely nothing happens? I would try to move the needle by sprinkling a bit of UX within the QA process. For consistency, efficiency and compliance. Embed accessibility and usability as a part of the testing suite to reduce maintenance work and drive efficiency. As Raquel Piqueras Herrero noted, “typically there is a clear need for clarity and a strong appetite for quality work.” I can only wholeheartedly agree with it. I’m yet to try out UX Office Hours, but you shouldn’t be surprised if, once set up, your UX office hours will be fully booked before you even blink. Useful resources: The Power Of Office Hours, by Alex Jones https://lnkd.in/eQCSdikV [continues in comments ↓]

One of those releases that looks quiet on the surface — but completely changes how the product feels. With Lovi 2.8.8, we've reworked the app's startup end-to-end across both the client and the backend. The goal was to make the very first seconds of every session feel instant and uninterrupted — no loaders, no waiting, no friction. This is not trivial for an AI-heavy product like Lovi. Under the hood, we're doing a lot of compute-heavy work in real time, and it all needs to happen fast enough to feel effortless. To be fair, even before this release, the app was already quite fast on average — especially given how much computation happens behind the scenes. But the long tail of high-latency spikes was always there. The latest release completely changes the game in that regard: - We fully reworked the client-server interaction model. Data is now fetched through multiple asynchronous flows with smart caching policies, allowing us to preload a significant amount of content before the user starts interacting with the app. - We added several short-lived cache layers, drastically reducing the number of data fetches required for interactive requests. - Some of the most frequently accessed data is now preloaded, based on real usage patterns — so the data is already warm by the time the client needs it. - We optimized a number of batch and background processes. These don't affect UX directly, but they used to compete with interactive traffic for resources. Removing that background pressure made the system noticeably more responsive overall. - Finally, we added service-level isolation across backend systems, cleanly separating heavy offline workloads from low-latency, user-facing paths — so interactive requests stay fast even under load. All of this lowered the averages, of course — but more importantly, it eliminated long-tail latency spikes. We now see a 3-5x speed-up across higher latency percentiles (p90 / p95 / p99). Changes like these are critical to product quality, but they're often overshadowed by flashier AI releases. Still, this kind of engineering work is absolutely essential to make a complex AI engine truly fly. We've made similar performance improvements many times before, and we won’t stop. Keeping performance high while doing genuinely complex personalization is a constant balancing act — but it’s one we care deeply about 😎 Kudos to the brilliant Lovi iOS team for this release! Nurbek Ortayev Dmitry Gulyagin 👏👏👏

Step-by-Step Guide to Mapping Complex Workflows for Enterprise UX Are you struggling to optimize complex enterprise systems? Follow this actionable guide to map workflows and drive UX improvements: 1. Identify key stakeholders Engage with end-users, managers, and IT teams to understand diverse perspectives. Their insights are crucial for a comprehensive view. 2. Document current processes Shadow users and record each step of existing workflows. Note tools used, time spent, and any workarounds. 3. Create visual process maps Use flowcharts or swimlane diagrams to illustrate task sequences, decision points, and handoffs between teams. 4. Analyze pain points Highlight bottlenecks, redundancies, and areas of friction in the current workflow. Quantify impact where possible. 5. Gather user feedback Conduct interviews or surveys to validate pain points and uncover additional usability issues. 6. Ideate solutions Brainstorm UX improvements to address identified problems. Consider automation, UI enhancements, and process simplification. 7. Prioritize enhancements Rank potential improvements based on user impact and feasibility. Focus on quick wins and high-value changes. 8. Prototype and test Create mockups or interactive prototypes of proposed solutions. Validate with users before full implementation. 9. Implement and iterate Roll out changes incrementally. Continuously gather feedback and refine the workflow based on real-world usage. 10. Measure impact Track key metrics like time savings, error reduction, and user satisfaction to quantify the value of your UX improvements. By systematically mapping and optimizing complex workflows, you can significantly enhance enterprise system usability and efficiency. What challenges have you faced when tackling enterprise UX? #EnterpriseUX #EUX #UXDesign #UX #B2B

A client spent over $400,000 on an app that barely worked. We took it over about 4 months ago. REALITY CHECK: Their previous dev team left them with: • Unstable codebase • Frustrated client and users • Monthly crashes • Zero scalability • Bleeding money Most agencies would rebuild from scratch. We did something different. Step 1: Deep dive technical audit Analyzed 50,000+ lines of code Found over 100 critical bugs Identified several security vulnerabilities Step 2: Strategic stabilization Fixed core functionality Patched security holes Optimized database queries Reduced load time by 73% Step 3: UX transformation Redesigned key user flows Simplified navigation Added performance monitoring Improved accessibility score by 89% Current status: • Zero downtime in 120 days • 94% reduction in user complaints • 40% faster load times • Platform ready for scaling Building from scratch can cost more. Smart optimization saves money. What we learned: Technical debt compounds like financial debt. Early fixes prevent costly rebuilds. User experience drives retention. Speed matters more than features. We're now building their next phase. Faster. Better. More scalable. Your software should work for you, not against you. Agree? Like and share your rescue story below.

UX is not just an interface layer or the final polish before launch. It is the transparent, almost invisible architecture that every digital product stands on. Users rarely notice great UX in the same way people do not think about a building’s foundation as long as it is strong. Yet this foundation is exactly what determines whether a product can handle growth, complexity, and scale. When UX is designed at the systems level, the product becomes intuitive for users, logical for teams, and resilient for the business. Every interaction has clear cause and effect: the path to value becomes shorter, cognitive load decreases, and the product’s benefits are realized faster. For the C-suite, this is not about aesthetics - it is a direct driver of retention, conversion, LTV, and speed of scale. This becomes especially critical in fintech. If users cannot instantly understand the logic behind transfers, investments, or security flows, trust in the product drops immediately. Even the strongest technology cannot compensate for friction or uncertainty in the core journey. The same applies to wellness products, such as a smart ring ecosystem. Like Oura. The ring itself may collect highly valuable data on sleep, stress, and recovery, but without thoughtful UX, users will never translate those insights into daily action. The data remains just numbers instead of becoming a tool for behavior change. Without strong UX architecture, products begin to break down from within. First come temporary fixes, then fragmented user journeys, rising costs of change, and growing misalignment between product, marketing, and engineering. At some point, the business is no longer paying for innovation - it is paying to compensate for systemic flaws embedded in the foundation. The strongest products rarely win on the idea alone. They win because the underlying structure allows that idea to live, scale, and remain valuable to users at every stage of growth. At the center of that structure is always UX - the invisible system without which the product simply cannot survive.

Creating a better user experience (UX) in a product is about understanding the needs, expectations, and behaviors of users, and designing a product that is both functional and delightful. Here are key elements to consider for a superior user experience: 1- User-Centered Design: Understand user needs and design based on their behaviors and goals. 2- Intuitive Navigation: Ensure users can easily find their way through the product. 3- Consistency: Keep visual elements and functionality uniform across the product. 4- Feedback and Responsiveness: Provide clear feedback for user actions to ensure the system is responsive. 5- Minimize User Effort: Simplify processes and reduce steps 6- Accessibility: Design inclusively for users with diverse abilities. 7- Visual Hierarchy: Use design elements to guide users to key actions. 8- Emotional Design: Add personality to engage users on an emotional level. 9- Performance and Speed: Ensure the product is fast and responsive. 10-Error Handling and Recovery: Offer meaningful error messages and ways to fix issues. 11-Testing and Iteration: Regularly test with users and improve based on feedback. 12- Personalization: Tailor the experience based on user preferences and behavior. 13- Onboarding and Help: Guide new users and make support resources easy to access. #uiuxdesign #userexperience #productdesign

Most companies keep their UX content guidelines stuck in Notion or PDFs. The problem? They don’t scale. Designers copy-paste. Writers guess. Engineers improvise. We solved it by letting each product team build its own RAG system for UX content. Here’s how it works: ☑ Shared infrastructure – one vector database with company-wide content principles. ☑ Local autonomy – each team feeds its own microcopy, error states, onboarding flows, and product-specific docs. ☑ Central oversight – content design standards ensure consistency across every RAG. ☑ Continuous improvement – when one team improves a RAG (say, better error handling), everyone gets the upgrade. The impact? No more scattered style guides. No more “what tone should I use here?” Slack threads. Every team gets an on-demand content agent that ships consistent copy at scale. Comment RAG if you want to see how we build these UX content systems in practice.