Design that users understand in seconds and engineers can build in sprints.
Research, flows, prototypes and design systems, including the new patterns AI products need, delivered as build-ready components.
What do UI/UX design services include?
UI/UX design services cover user research, journeys, wireframes, high-fidelity interfaces, prototypes and design systems. Eazyware designs for SaaS and AI products specifically, including patterns for copilots, streaming responses, confidence and citations, and delivers the result as coded React and Tailwind components engineers can ship directly.
| Service line | Digital Product Engineering |
|---|---|
| Engagement | Scoped build with milestones |
| Duration | Quoted after scoping; typically 8–16 weeks |
| Starting price | $5,500 |
| Typical range | $5,500 – $28,000 |
| Deliverables | 4 listed below |
| Delivered from | Bengaluru, India (IST, UK and US East hours) |
| Code ownership | Client owns code, infrastructure, prompts and documentation |
What problem does it solve?
Pretty mockups that engineers cannot build, or engineered screens nobody can use. Design and build have to be one process.
How do we approach it?
Design here is a process shared with engineering, not a handoff. We start with research: interviews, support tickets, usage data where it exists, and the journeys that matter. Wireframes and flows are tested with real users before high-fidelity work begins. The design system is built as coded React and Tailwind components alongside the Figma files, so what is designed is what ships. For AI products we design the patterns the technology needs: streaming responses, confidence and citations, proposal-and-confirm actions, and the hand-off to the normal interface when the model is out of its depth.
What do clients use it for?
- New product design from research to components
- Redesign of an ageing SaaS interface
- Design system for a product family
- AI interaction patterns for copilots and assistants
Is it the right fit?
Good fit when
- Teams shipping without a designer
- Products with adoption or usability problems
- Companies standardising several apps
Probably not when
- Brand identity and print design
- Marketing-only landing pages
What do we build?
- User research, journeys and information architecture
- Wireframes, high-fidelity UI, clickable prototypes
- Design systems and component libraries, Figma to React and Tailwind
- AI interaction patterns: copilots, streaming, confidence, citations, human hand-off
- Usability testing and iteration
- Accessibility and responsive design
What you get
- Figma files
- Design system
- Coded component library
- UX documentation
How does the engagement work?
- 01
Research
- 02
Flows
- 03
Wireframes
- 04
UI and prototype
- 05
Components
- 06
Test and iterate
What does good look like?
Interfaces users understand in seconds, a design system engineers build from in sprints, and a set of AI interaction patterns that make the product feel trustworthy rather than magical. Usability test results that show task completion improving. Accessibility built in. And a Figma-to-code pipeline with few defects because the components are the same on both sides.
How does it compare?
| Eazyware | Typical agency | In-house hire | |
|---|---|---|---|
| Time to first result | Sprint Zero in 10 days, then a fixed-scope build | 6–12 weeks of discovery before a proposal | 3–6 months to hire, then ramp |
| Pricing model | Fixed scope, milestone billing, INR or USD | Time and materials, open-ended | Salaries, tooling, management overhead |
| AI depth | Multi-model, evals, cost routing, observability as standard | Often a single vendor API and a prompt | Depends entirely on who you can hire |
| Ownership | Client owns code, infra, prompts and docs | Sometimes retained or licensed back | Owned, but concentrated in one or two people |
| After launch | Care Plans with SLA and AI add-on | Change requests at hourly rates | Ongoing headcount whether or not there is work |
Which pitfalls do we design around?
Design engagements fail when they produce mockups engineers cannot build, when they skip research and design for the stakeholder rather than the user, and when they treat AI as a chat bubble rather than as a set of new interaction problems. We code the components, test with users and design the AI patterns deliberately.
What do we measure?
Every engagement is instrumented. These are the numbers you see in the dashboard and the monthly report, not claims on a website.
- Task completion in usability tests
- Design-to-build handoff defects
- Accessibility compliance
Which technologies do we use?
- Figma
- React
- Tailwind
- Framer Motion
Who does the work?
A product designer, a design engineer who builds the component library, and a researcher for the discovery and testing phases.
What do you need to bring?
Access to users for research and testing, any existing product and analytics, brand guidelines if they exist, and an engineer from your team to review the component library as it is built. A product owner to prioritise which journeys come first.
Frequently asked questions
Do you code the designs?
Yes. We deliver React components, not just mockups.
Redesign an existing product?
Yes. Audit first, then phased redesign without breaking users.
Where does this fit?
UI/UX Design & Development is part of our Digital Product Engineering line. Not sure yet? Start with Sprint Zero, a ten-day discovery whose fee is credited to this build. See all pricing or talk to an engineer.