Service
Product Design & Development
Research, design, and ship products people actually use
From concept to launch — we design and build data-driven digital products with intuitive UX and intelligent features.
Who we design for
B2B and B2C teams shipping revenue-critical digital products across global markets.
B2B SaaS
Complex tool UX, data-heavy dashboards, admin surfaces that do not buckle at scale.
Consumer Fintech
Onboarding, KYC, payments, and wealth flows optimized for conversion.
Digital Health
Patient-facing and clinician-facing apps designed for stress-state usability.
Public Digital Services
Citizen-first experiences that meet accessibility and plain-language standards.
EdTech
Learning platforms that balance engagement with pedagogy, K–12 through corporate.
Retail & Loyalty
Commerce flows, loyalty journeys, and brand-driven storefronts.
Double-diamond, with production discipline
We ship validated UI into a Storybook + Figma pipeline — not mood boards.
- 01
Discover
Jobs-to-be-done interviews, analytics triangulation, competitive teardown.
- 02
Design
Information architecture, interaction patterns, brand-aligned visual system.
- 03
Prototype
Mid- to high-fidelity prototypes wired to real data where possible.
- 04
Validate
Usability testing, A/B prioritization, accessibility audit; then developer handoff.
Design toolchain
Tooling that is production-integrated, not just pretty screens.
Research
- Maze
- Dovetail
- Hotjar
- User Interviews
- Amplitude
Design & Systems
- Figma
- FigJam
- Tokens Studio
- Style Dictionary
- Specify
Prototyping
- Framer
- Protopie
- Origami
- Rive
- Principle
Engineering Handoff
- Storybook
- Chromatic
- Figma Code Connect
- Ladle
- Playwright Component
Most digital products fail in the space between a promising brief and a shipped release — not because the idea was wrong, but because design decisions were made without evidence, engineering constraints were ignored in Figma, and the handoff was a ZIP file. We close that gap.
What does 'data-driven design' mean in practice?
It means no screen is drawn until we have signal: session recordings, drop-off funnels, support-ticket themes, or field interviews with real users in Bangkok, Jakarta, or Kuala Lumpur. Design choices — navigation depth, onboarding step count, LINE-based notification triggers — are argued from data, not opinion. When we revisit a decision post-launch, there is a record of why it was made.
How do you validate a product concept before engineering investment?
A two-week discovery sprint — stakeholder interviews, competitive audit, and a clickable Figma prototype tested with five to eight target users — surfaces the assumptions most likely to kill the product. We run these sprints before a single line of production code is committed, which typically saves four to twelve weeks of rework further down the timeline.
When should AI features be added — at launch or later?
Almost always later — but the data model and UX hooks need to be designed for it from day one. A search bar that will eventually become semantic search, a feed that will eventually be ranked by a recommendation model, a chatbot entry point that will eventually call an agentic workflow: these need anchor points in the architecture before launch, even if the AI layer activates in phase two. We design for that future state deliberately.
A design system that engineering can't consume is a mood board, not a product asset.
What we hand off to engineering
Handoff is where most agency-client relationships fall apart. We eliminate ambiguity by delivering a complete, living package that engineers, QA, and product managers can work from independently — without Slack clarification loops.
- Research plan and synthesis report — interview transcripts, affinity map, prioritised insight list
- Figma design system with bilingual (Thai–English) component variants and mobile-first breakpoints
- Design tokens exported as JSON — colour, typography, spacing, radius — ready for style-dictionary or direct CSS variable injection
- Component library in React or React Native with documented props, states, and slot patterns
- Interaction spec for LINE Mini App and deep-link flows — covering notification-triggered re-entry and KakaoTalk-style card message payloads where applicable
- Accessibility audit report — WCAG 2.1 AA pass/fail per component, with remediation notes for contrast ratios and touch-target sizing on budget Android devices
- Annotated prototype with edge-case flows — empty states, error handling, skeleton loading, and offline degradation
If you have a product brief, a legacy interface that needs a redesign, or an AI feature that needs a UX wrapper before it can go to users, talk to the HarmonyX product design team. We scope discovery workshops within a week and can be in the field with your users shortly after.
Outcomes we have moved the needle on
Measured pre/post across recent engagements.
median conversion lift on redesigned checkout flows
SUS usability score uplift in 1 quarter
accessibility baseline across shipped surfaces
developer handoff time with Code Connect + tokens
FAQ
Frequently Asked Questions
What does a HarmonyX product design engagement include?
HarmonyX runs a 2-week discovery sprint that pairs research, analytics, and design, returning a prioritized experience roadmap with measurable hypotheses. The full engagement follows a double-diamond flow — Discover, Design, Prototype, Validate — shipping validated UI into a Storybook and Figma pipeline, not mood boards.
What results has HarmonyX product design achieved?
Measured pre and post across recent engagements, HarmonyX product design has delivered a +45% median conversion lift on redesigned checkout flows, a 3× SUS usability uplift in a single quarter, a WCAG 2.2 AA accessibility baseline, and a 20% cut in developer handoff time using Code Connect and tokens.
What tools does HarmonyX use for product design?
For product design HarmonyX uses Figma, FigJam, Tokens Studio, and Style Dictionary for design and systems; Maze, Dovetail, Hotjar, and Amplitude for research; and Storybook, Chromatic, and Figma Code Connect for engineering handoff.
Have a product that feels heavier than it should?
We run a 2-week discovery sprint that pairs research, analytics, and design. Output: a prioritized experience roadmap with measurable hypotheses.