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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.

Abstract exploded design system with orbiting UI primitives and a gold bezier curve

B2B and B2C teams shipping revenue-critical digital products across global markets.

01

B2B SaaS

Complex tool UX, data-heavy dashboards, admin surfaces that do not buckle at scale.

02

Consumer Fintech

Onboarding, KYC, payments, and wealth flows optimized for conversion.

03

Digital Health

Patient-facing and clinician-facing apps designed for stress-state usability.

04

Public Digital Services

Citizen-first experiences that meet accessibility and plain-language standards.

05

EdTech

Learning platforms that balance engagement with pedagogy, K–12 through corporate.

06

Retail & Loyalty

Commerce flows, loyalty journeys, and brand-driven storefronts.

We ship validated UI into a Storybook + Figma pipeline — not mood boards.

  1. 01

    Discover

    Jobs-to-be-done interviews, analytics triangulation, competitive teardown.

  2. 02

    Design

    Information architecture, interaction patterns, brand-aligned visual system.

  3. 03

    Prototype

    Mid- to high-fidelity prototypes wired to real data where possible.

  4. 04

    Validate

    Usability testing, A/B prioritization, accessibility audit; then developer handoff.

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.

Measured pre/post across recent engagements.

+45%

median conversion lift on redesigned checkout flows

SUS usability score uplift in 1 quarter

WCAG 2.2 AA

accessibility baseline across shipped surfaces

−20%

developer handoff time with Code Connect + tokens

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.

Start discovery