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Common Questions

(01) Do you handle both design and development?
Yes. WANDR is an end-to-end product partner offering both UX/UI design and full-stack development. We design digital products from the ground up and build them using modern, scalable technologies. Our team includes senior product designers, frontend engineers (React, Next.js, etc.), and backend developers (Firebase, Supabase, etc.) who work together to ensure every feature is both beautifully designed and technically sound.We don’t just hand off screens — we deliver production-ready interfaces, component systems, clean code, and seamless deployments. Whether you need an MVP, a complex SaaS feature, an AI-driven experience, or ongoing embedded support, our design and engineering teams collaborate closely to ship fast, reduce rework, and accelerate your roadmap.
(02) / How much do your services cost and what affects pricing?
Because we support everything from UX/UI design and user research to full MVP development, AI UX, design systems, and embedded talent, the investment depends on the number of features, the depth of research required, and the speed at which you need to move.
Pricing is primarily influenced by:
.- Product size and complexity (flows, screens, integrations)
.-Research requirements, such as usability testing or analytics review
.-Timeline and urgency, which determine the level of dedicated resources
.-Technical needs, including AI, backend setup, or advanced interactions
.-Team composition, whether you need designers, engineers, strategists, or all three
(03) /Do you work with legacy products or enterprise systems?
Yes — we regularly work with legacy products and enterprise systems. Our team specializes in modernizing outdated interfaces, improving usability, reducing design and technical debt, and creating scalable systems that align with enterprise workflows.
We support organizations with complex platforms, multi-team environments, or long-standing UX challenges. Whether you need a full redesign, a new design system, AI feature integration, or ongoing embedded product support, we help teams update their product experiences without disrupting existing infrastructure.
(04) / What does working with WANDR look like day-to-day? What's your process?
Working with WANDR is a structured, collaborative, and transparent process. We operate in weekly sprints with clear milestones, async updates, and regular reviews so you always know what’s happening. We function as an extension of your team so progress is fast, predictable, and fully aligned with your roadmap.
Our typical workflow includes:
.- Discovery & Alignment on goals, requirements, and users
.-UX Flows & Strategy to define the product foundation
.-UI Design & Prototyping with iterative feedback
.-Development & QA for teams that need end-to-end delivery
.-Launch or Handoff with documentation and support
(05) /How do you approach AI product UX?
We take a structured, safety-focused approach to AI product UX that balances capability with clarity, trust, and user control. Our SignalUX™ framework is designed specifically for LLMs, agents, autonomous systems, and AI-assisted workflows.
Our process includes:
.-AI use-case modeling to define what the system should (and shouldn’t) do
.-Interaction pattern design for prompts, agents, chat flows, and adaptive UI
.-Trust + explainability frameworks to handle uncertainty, errors, and transparency
.-Control and autonomy mapping so users always understand how the AI behaves
.-Usability testing to validate mental models, expectations, and comprehension
.-High-fidelity screens built for real-world behavior and safety considerations
(05) /How do you approach AI product UX?
We take a structured, safety-focused approach to AI product UX that balances capability with clarity, trust, and user control. Our SignalUX™ framework is designed specifically for LLMs, agents, autonomous systems, and AI-assisted workflows.
Our process includes:
.-AI use-case modeling to define what the system should (and shouldn’t) do
.-Interaction pattern design for prompts, agents, chat flows, and adaptive UI
.-Trust + explainability frameworks to handle uncertainty, errors, and transparency
.-Control and autonomy mapping so users always understand how the AI behaves
.-Usability testing to validate mental models, expectations, and comprehension
.-High-fidelity screens built for real-world behavior and safety considerations
