Remote-first Australian web design and custom software studio

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AI SaaS product design Australia

SaaS Product Design That Survives Contact WithReal Users

Onboarding, dashboards, settings, empty states and the unglamorous screens that decide whether people stay. We use AI to produce and iterate the interface at speed, and senior product designers to make sure the flows match how your users actually work.

72%SAAS & APP DESIGN
Quick answer

What is AI SaaS product design?

AI SaaS product design is the application of generative AI tools to software product design — producing onboarding flows, dashboard layouts, component libraries and interaction states rapidly — with product designers directing the user research, information architecture and workflow decisions. It is distinguished from marketing website design by its focus on repeated task completion rather than a single conversion event.

Service area
Australia-wide (remote)
Delivery model
Remote-first, direct team access
Scope
8 core deliverables
Next step
Free discovery call + written quote
Service perspective

The problem this work is designed to solve.

SaaS design is judged differently from marketing design. A landing page has to work once. A product has to work on the four-hundredth use, at 5pm, by someone who did not read the documentation. That changes what matters: empty states, error recovery, keyboard paths and defaults matter more than the hero section.

The thinking behind the work

Different questions deserve different answers.

We shape the work around the audience, the constraint and the outcome — not a reusable agency formula.

01Audience

Who This Is For

  • Founders taking a SaaS product from concept to investor demo
  • Scale-ups whose interface grew feature by feature without a system
  • Products with strong acquisition and weak activation
  • Teams preparing for enterprise procurement or an accessibility review
02Problem

Challenges We Solve

  • New users sign up, see an empty dashboard and never return
  • Support answers the same interface question every week
  • Adding a feature means inventing new patterns each time
  • The product demos well and churns badly
03Approach

Our Approach

Workflow research first, then architecture, then AI-generated interactive screens, then explicit design of the empty, error and edge states most projects skip.

04Context

Why It Matters

SaaS retention is decided on screens that never appear in a pitch deck: empty states, error recovery and the day-fourteen experience.

05Process

Typical Timeline

  • Week 1: discovery, user roles and workflow mapping
  • Week 1 to 2: architecture and interactive prototype
  • Week 3 to 4: key screens, all states and usability testing
  • Week 4 to 6: design system, tokens and engineering handoff
06Deliverables

Industries We Serve

Remote-first across Australia: Sydney, Melbourne, Brisbane, Perth, Adelaide, Canberra and regional areas.

  • SaaS and technology companies
  • Professional services and consultancies
  • Healthcare and allied health
  • Finance, insurance and fintech
  • E-commerce and retail
  • Education and training providers
  • Real estate and property
  • Manufacturing, trades and field services
07Expertise

Why Choose Devoq

  • AI-first workflow across research, design, build and QA
  • Every AI-generated change reviewed by a senior human before merge
  • Fixed scope and fixed quote, with exclusions written down
  • A dedicated project lead who does the work, not an account manager
  • Code, accounts and documentation in your name from day one
  • Optional ongoing support, never a condition of keeping what we built
What's included

What you get with AI SaaS product design.

  • Product discovery: user roles, jobs to be done, and the workflows that matter
  • Information architecture and navigation model for the whole application
  • Onboarding and activation flow design, including the empty-state experience
  • Dashboard and data visualisation design based on decisions users must make
  • Complete component library with all interaction and error states
  • Design tokens ready for implementation in code
  • Interactive prototype for usability testing and investor demos
  • Accessibility review against WCAG 2.1 AA, including keyboard-only paths
Our process

How we deliver AI SaaS product design.

Step 1

Understand the Workflow

We map who uses the product, what they are trying to finish, and where they currently give up. For an existing product we watch session recordings and read support tickets; for a new one we interview the people whose job it will change.

Step 2

Architecture and Navigation

How the application is organised determines how discoverable everything is afterwards. This gets agreed before any screen is designed, because retrofitting navigation into a built product is one of the most expensive changes there is.

Step 3

Rapid Interface Generation

Using v0 by Vercel and Tempo Labs we produce working, interactive screens rather than static mockups. Reviewing something clickable surfaces workflow problems that a flat image hides.

Step 4

Design the Unhappy Paths

Empty states, loading, partial data, permission errors, failed payments, expired sessions. These are skipped in most design projects and are exactly where products lose users. We design them explicitly.

Step 5

System and Tokens

A documented component library with every state, plus design tokens in a format your engineers can consume directly. This is what keeps the product coherent as the team ships without a designer in every ticket.

Step 6

Test and Iterate

Prototypes go in front of real users before build. Because regeneration is cheap, findings turn into revised flows in hours rather than becoming a backlog item for next quarter.

Editorial

The screens that decide whether your SaaS retains users

Most SaaS design budgets go to the screens people see in a demo: the dashboard, the marketing site, the pricing page. The screens that determine retention are almost never in the demo.

The first is the empty state. Every user sees your product with no data in it, and that moment is where activation is won or lost. A dashboard designed with realistic sample data and shipped with an empty state nobody thought about will look impressive in a pitch and confuse every new signup.

The second is error recovery. Not the error message — the recovery. What can the user actually do next? A payment fails, an import breaks, a permission is missing. Products that handle these with a clear next action feel reliable; products that show a red banner and stop feel broken even when the underlying system is fine.

The third is the second-week experience. Onboarding gets attention because it is measurable. The screens someone uses on day fourteen, when the novelty has gone and they just want to finish a task, get almost none — and that is when churn decisions are actually made.

We design these explicitly, and it is a large part of why AI acceleration matters. When generating a variant costs an hour instead of a day, there is budget left for the screens that never make it into a pitch deck.

Capabilities

Areas we cover.

v0 by Vercel — interactive product UI

Generates React components close enough to production that prototypes behave like the real product, which makes usability testing meaningfully more accurate.

Tempo Labs — visual editing of real components

Designers refine actual React components visually, so the design system and the implementation stay the same thing rather than two drifting artefacts.

Lovable — full-stack prototypes

When a flow depends on real data, auth or persistence to be testable, Lovable stands up a working prototype with a backend so the test is honest.

Claude Code — design system documentation

Generates and maintains component documentation, prop tables and usage guidance directly from the code, keeping the system accurate as it grows.

Human product strategy

Which workflows to prioritise, what to cut from the MVP, and how to sequence releases. These are business decisions informed by research, not generation problems.

Human usability testing

Real sessions with real users. AI can help synthesise what happened; it cannot tell you why someone hesitated for six seconds before clicking the wrong thing.

Pricing

Transparent starting points.

Every project is scoped individually. These tiers give you a realistic sense of investment.

Product Design Audit

Workflow analysis and prioritised UX issues in an existing product

From $3,500 AUD

Get a quote →

MVP Product Design

Core flows, key screens and interactive prototype

From $12,000 AUD

Get a quote →

Full Product System

Complete design system, all states, tokens and documentation

From $22,000 AUD

Get a quote →
Compare options

AI-first SaaS design vs the alternatives

Devoq AI-first
Traditional product studio
In-house, no dedicated designer
Time to testable prototype
1–2 weeks
4–8 weeks
Varies widely
Prototype fidelity
Interactive, near-production
Clickable mockups
Built product or nothing
Edge and error states
Designed explicitly
Often deferred to engineering
Discovered in production
Design system delivery
2–3 weeks, documented
Frequently quoted separately
Emerges inconsistently
Cost of a flow change
Hours
Days to weeks
Engineering time
Investor-demo readiness
Included
Usually included
Rarely ready
FAQ

Questions we get asked

AI SaaS product design uses generative AI tools to rapidly produce software interfaces — onboarding, dashboards, component libraries and interaction states — with product designers directing research, information architecture and workflow decisions. The speed gain is in production and iteration, not in deciding what the product should do.

A website has to work once, for a visitor deciding whether to enquire. A product has to work repeatedly, for someone completing a task under time pressure. That shifts the priorities to empty states, error recovery, keyboard paths, defaults and information density — things a marketing site never has to solve.

A testable interactive prototype of the core flows in one to two weeks. Full MVP design with all key screens and states typically three to four weeks. A complete documented design system is four to six weeks. Traditional product studios generally quote two to three months for comparable scope.

Yes, and this is common. We work within your existing component library and technical constraints, targeting the specific flows causing drop-off. An audit identifies where the losses are, so the work goes to the screens that affect the metric rather than a full redesign nobody asked for.

The interactive prototypes work for demos, and we can produce a demo-specific path with realistic data. We are direct about one thing though: a prototype that only works on the demo path is a liability if an investor deviates from the script, so we design the real flows rather than a facade.

Covered. Most B2B SaaS is desktop-primary but needs a genuine mobile experience for check-in tasks — approvals, notifications, quick lookups. We identify which tasks matter on mobile rather than trying to compress the entire desktop interface onto a phone.

Every project delivers a documented component library with all interaction states, plus design tokens in a format your engineers consume directly. Documentation is generated from the code with Claude Code so it stays accurate rather than going stale within a sprint.

We do it, and it is the part we do not compress. Interviews, session recordings, support ticket analysis and usability testing. If you already have research we start from it, but we will validate the conclusions rather than inheriting assumptions.

That is the intent of delivering tokens and near-production components rather than image files. Your engineers receive something they can build from directly. We are also happy to work inside your sprint cadence and review implementation as it ships.

That is normal and it is a good reason to start with discovery rather than design. We run a scoping engagement that defines user roles, priority workflows and MVP scope, and produces a design plan. Sometimes the outcome is that the product needs less than you thought.

Both. Many clients take the design and build in-house, which the token and component handover is designed to support. Others continue with us into AI SaaS product development, where the same team implements what was designed.

A product design audit starts from $3,500 AUD. MVP design with core flows and an interactive prototype starts from $12,000 AUD. A full product design system starts from $22,000 AUD. All fixed price once scope is agreed.

Project enquiry

Start your AI SaaS Product Design project

Share the current problem, your constraints and what a useful result would look like.

What happens next
  1. 01You send the messy versionCurrent site, workflow or rough idea — no brief required.
  2. 02We reply by the next business dayFrom the people who would do the work, not an account manager.
  3. 03You get a written scope and quoteFixed, itemised, with exclusions stated. No obligation.