We build digital experiences around how your customers think and behave. Customer experience services focused on measurable outcomes: higher engagement, stronger brand loyalty, repeat usage.
Most businesses know customers leave frustrated. See where weak customer experience services cost money and damage brand loyalty.
Your platform treats all users identically. Power users get frustrated by hand-holding. Beginners get overwhelmed by complexity. Some customers prioritize ambiance, others location, others specific amenities.
The site structure mirrors departments and internal processes. Customers searching for their problem can't find solutions. Restructuring around customer journeys improved findability immediately.
Your platform assumes expertise customers don't have. Advanced users completed tasks easily but beginners needed contextual support preventing errors.
Every new user sees an identical welcome flow regardless of goals, expertise, or use case. Generic flow means missed personalization from first interaction.
We've built digital platforms, like Kin, where website traffic and engagement jumped 2x through customer-centered redesign.
Our team interviews diverse user segments, runs user testing sessions, and analyzes behavior data. This research shapes personalized onboarding and platform adaptation.
Age and location matter less than how people use your product. We identify behavioral segments: explorers versus efficiency seekers, social users versus private users, beginners versus experts.
We document the entire experience from awareness through repeated usage. What triggers a first visit? Where do customers get stuck? What brings them back?
One interface, multiple pathways. We build personalization based on customer type, goals, expertise level.
We've worked with companies transforming generic platforms into personalized customer experiences.
Lazarev.agency is more than about making profits for us and our clients. We're committed to saving lives in Ukraine, taking on pro bono projects, championing diversity, equity, and inclusion.
in funding secured for our clients
awards backing our excellence
founded, 10+ years of experience
AI product design agency
from user research to production-ready design systems
Among our clients:
We’re a UX/UI web design agency with 140+ awards that helps AI‑native and AI‑ambitious B2B teams translate complex products into clear, conversion‑ready websites.
Webby Awards x10
Red Dot Design Award x6
Awwwards x16
FWA x5
Explore what's included when you work with our creative team.
Satisfied clients from fintech, education, entertainment sectors tell us what made the difference.
"We've been working with Lazarev. since the very series seed to series B stages of our product. It's amazing how they always research and find ideas that exceed our own initial envision!"
Founder at Accern
"Lazarev.agency is a top tier design firm with focused execution and a team that's genuinely collaborative and iterative. We couldn't have asked for a smoother experience."
Co-Founder / CTO at Barricade AI
We specialize in digital platforms where customer experience directly affects business growth and brand loyalty.
We exist for B2B teams under pressure to turn an AI roadmap into visible product usage, expansion, and a safer story in front of the C‑suite and investors. If design isn’t moving revenue, adoption, or retention, it’s decoration. We design to avoid that. Since 2015, we’ve shipped 600+ products and earned 140+ awards for work on complex, data-heavy tools: fintech platforms, AI copilots, decision engines, and vertical SaaS. Our work has helped clients turn “we have AI features” into “our customers actually use and pay for them.”
We started designing AI products in 2017, long before “AI-native” became a buzzword. With 30+ AI products shipped, we focus on the hard part most teams struggle with: making complex intelligence feel simple, trustworthy, and obviously valuable in a demo, a POC, or a QBR. We’re a 40+ person team of UX strategists, product designers, and analysts who treat design as a business function.
What sets us apart from a typical agency or a single in-house hire is pattern recognition at scale. We’ve seen what works – and what quietly kills adoption – across hundreds of AI and data-heavy products. That lets us spot failure modes early, bring proven interaction patterns to your team, and reduce the risk that your next AI release is another unused toggle in a settings menu.
We start with research not because it’s “best practice,” but because designing without understanding your users, your market, and your revenue model is just guessing with nicer pixels. From there, we collaborate with your product, AI, and design leaders to define where AI should show up, how it should behave, and how to make it obvious, safe, and monetizable.
If you’re a Head of AI, Product, or an AI-native founder who needs AI capabilities to be seen, understood, and used now, not someday, we’re built to be that partner.
At this stage, clients engage us for 4–6+ month AI & data product UX redesign programs, treating us as their primary product design partner for the core platform.
of experience in UI/UX design
Trusted by over 600 companies of all sizes
international industry awards
projects successfully completed
We combine design thinking with data-driven insights.
We start by understanding your business vision, customer segments, and current experience performance. Competitive analysis reveals industry practices. This foundation shows who your customers are and what they value.
Define how to serve different customer segments. Information architecture matching mental models, adaptive onboarding flows, personalized recommendations, segment-specific features. Create interactive prototypes for key journeys.
We design a complete customer experience across all touchpoints. Visual design systems, interaction patterns, content strategy, community features where appropriate. Balance brand identity with usability.
Our experienced team works with your development during build. We review implementations, answer questions about personalization logic, ensure experience quality, and test across customer segments and platforms.
Launching a product without clear metrics leaves teams guessing what works. So, our designers define success metrics for each user segment and track them through proper analytics. Then, we turn those insights into clear improvements for the next iterations.
How we work, scale, and deliver measurable outcomes.
UX design focuses on usability and interface interactions. Customer experience design covers complete relationships: awareness, consideration, onboarding, usage, retention, support. We optimize the entire customer journey. For Dynascale, restructuring around buyer journeys meant rethinking content strategy and site architecture.
We analyze behavior patterns. Interview diverse users, study usage data, identify common goals and pain points. For Mappn, behavioral segmentation revealed venue preferences beyond basic categories. Some customers prioritize ambiance, others convenience, others specific amenities. These behavioral differences drive personalization strategy.
Both. Many clients have functioning platforms needing customer experience optimization. We audit current experience, identify friction points, redesign around customer needs. For EllipX, adding contextual guidance to existing crypto processes reduced support tickets without rebuilding core functionality.
Smart personalization doesn't require rebuilding everything for each segment. We identify key moments where adaptation matters most: onboarding, recommendations, help systems, feature visibility. For LevelAll, personalized onboarding questions enabled platform adaptation without creating separate experiences for each customer type.
Complete documentation of user experience from awareness through retention. Touchpoints across channels, decision moments, emotional states, friction points, opportunities. Maps for different customer segments showing unique needs. This strategic foundation reveals where experience improvements drive the biggest business impact.
We track segment-specific metrics: activation rates after personalized onboarding, retention for different customer types, feature adoption, support ticket reduction, satisfaction scores. For Streamingbar, success was deeper engagement among social users after adding community features. Define metrics during discovery, measure throughout the project.
Features don't matter if customers can't use them effectively or they don't match needs. Mappn succeeded through personalized recommendations. EllipX reduced abandonment through contextual guidance. Customer experience design ensures the platform serves actual customer needs, making existing functionality more valuable.
We establish a measurement framework, set up feedback collection, and plan regular usability testing. Our team analyzes data quarterly, identifies optimization opportunities, prioritizes improvements based on business impact. Customer experience requires ongoing attention as customer needs and competitive landscape evolve. One-time design doesn't maintain excellence long-term.
Let's talk about your AI adoption challenge
