Site experience
Why did someone visit, and could they do what they came for?
Experience design / Vista Musical Instruments
Helping customers find their next step.
Find the right instrument. Discover an alternative. Continue the experience in-store. A body of work connecting customer research, shared systems, and the everyday decisions that make those journeys possible.
01 / Customer research
The existing surveys had overlapping purposes, inconsistent questions, and different triggers. I facilitated sessions with business leads to audit and prioritise the questions, then defined three instruments with distinct jobs. Existing questions were retained where useful to preserve continuity.
Crazy 8s brought business leads into generating and challenging the questions, rather than commissioning another disconnected survey.
Existing questions were reviewed for purpose, duplication, clarity, and mobile usability.
Prioritisation translated the workshop into three instruments, with each question tied to a specific research purpose.
Why did someone visit, and could they do what they came for?
What shaped the purchase decision and the route to it?
How did delivery, the product, and support meet expectations?
Low navigation scores opened a follow-up question about browsing difficulties, so the score could arrive with an explanation. Master templates supported market-specific links; English and Malay interview scripts extended the research to stores.
The Site Experience trigger changed to six minutes on desktop and four on mobile, without requiring items in the cart. Post-purchase feedback moved to a ten-day survey and a fourteen-day product review, retiring the thirty-day flow.

A separate intervention / May 2026
A checkout survey entry point rolled out on 14 May 2026. Quarterly participation across the two live instruments rose from 399 to 568 (+42%). Site Experience responses increased from 44 in Q1 to 222 in Q3.
The participation gain followed the 2026 entry-point change, not the earlier question redesign; response volume does not measure customer satisfaction.
02 / 2023 foundation
Within my first month, I developed online personas for Swee Lee, Teisco, MONO, Harmony, and Heritage, alongside a survey insights deck and research into customers' primary online objectives.
When Google sunset Optimize in February 2023, I sourced its A/B testing replacement. During the Universal Analytics migration in May, I learned and adopted GA4. I then established a plan, launch, and review rhythm for VWO testing.
In June 2023, I designed eleven page templates: homepage, product, contact, brands, departments, cart, about, login, account creation, account details, and navigation. The delivery also covered key screens, all email templates, homepage and USP banners, and a text styles kit.
I moved component libraries from Sketch to Figma, named undocumented Shopify components, reconciled them with the UI kit, and retired archive libraries. The Master UI directory standardised fields, labels, dark and light button states, chat widget colours and icons across brands.
The brand update covered its colour palette, UI kit, secondary pages, and collections navigation within the wider shared-component system.
I delivered Figma and UI training to colleagues and directed Master UI directory work across multiple contributors, building shared ownership of the system.
The work progressed from Midjourney image generation in January 2024 to AI-generated product descriptions in 2025 and AI-assisted brief screening, which flags missing information before work enters delivery.
03 / Product-page continuation
A product page was a dead end for shoppers who were not ready to buy. I treated discovery, relevant alternatives, and store availability as one continuation strategy: help people keep browsing, compare options, or find the product in-store. The work shipped in stages, not as one experiment.
Customer-shaped navigation and contextual search quicklinks created more routes through the catalogue.
Customers Also Bought used existing co-purchase data across Singapore, Malaysia, and Indonesia.
Product-page stock availability linked online product discovery to physical store inventory across the same markets.
Card sorting shaped the category structure around how customers group products. Desktop wireframes and a mobile full-screen navigation concept began in April 2024. Quicklinks surfaced popular searches in the search bar, giving shoppers another route when they had nothing obvious to click.
Dedicated navigation events captured each interaction and its label. In a 14-day Singapore review, 192 users generated 241 quicklink events; specific gear names drew more use than generic terms in that snapshot. Customer surveys also show navigation satisfaction improving over time.
Interaction counts describe use; they do not establish task completion.
Working with developers, I explored a co-purchase carousel using available customer purchase data, without adding a paid recommendation plugin. It launched across Singapore, Malaysia, and Indonesia in November 2024.
Observed: 14,488 recorded interactions from 3,712 users in the lifetime review, approximately 3.9 interactions per recorded user.
These are interactions over the reporting period, not per visit. They do not establish additional purchases or prevented abandonment.
Store availability appeared above the fold on the product page, outside an accordion, with a route to store-by-store details. It offered an answer when an item was unavailable online, without asking customers to call or guess. Public launch followed QA on 21 April, on 5 May 2026; April testing is excluded from the launch baseline.
Observed: Singapore's monthly interactions per user stayed within 1.98-2.10 from May to September and remained similar five months after launch.
Stable interaction frequency shows sustained use among feature users, not proof of improved conversion or store visits.
Stock availability / Singapore
Equal 14-day windows, five months apart.
Cumulative feature engagement: 17,883 users across Singapore, Malaysia, and Indonesia through 2 October 2026.
| Measure | 5-18 May | 19 Sep-2 Oct |
|---|---|---|
| Users | 1,096 | 1,166 |
| Interactions | 2,271 | 2,313 |
| Per user | 2.07 | 1.98 |
These features were delivered at different times. They are grouped here by the customer problem they address, not presented as a single experiment or a proven combined conversion lift.
04 / Retail & kiosk
Research, launch touchpoints, and the appointment journey at Swee Lee Clarke Quay.
Retail research extended beyond the kiosk: surveys in Malaysia and Indonesia, in-person interviews in Singapore and Malaysia, and qualitative testing in Swee Lee stores brought local context into the design work.
The Clarke Quay launch included digital and printed store assets, cafe templates, and iPad screen content. Related retail work covered signage, Jakarta murals, and pillar design in Malaysia.

I designed the kiosk experience and proposed direct appointment booking on the kiosk, with phone-number confirmation. That proposal did not launch.
The wider business prioritised adoption of VMI Connect, its membership app. I contributed to that initiative but did not own the app or the strategic requirement to route visitors through it.
Proposed / not launched
Implemented / kiosk entry
Customers who discovered the appointment page through the online store could reach it without the kiosk's required app-download step. The same service therefore had different entry requirements depending on where the journey began.
Swee Lee Experience appointment page ↗Kiosk sessions declined during the reporting period. The app-first direction provides context, but the kiosk data alone cannot tell us whether visitors abandoned the task or completed it elsewhere. Evaluating this journey requires visibility across the kiosk, app, appointment request, and eventual visit.
05 / Measurement
Navigation and quicklinks supported discovery; recommendations and store stock opened onward paths. The next challenge was connecting those interactions to what happened downstream.
Weekly feature reviews combined event analysis with store feedback and shopper conversations. Experimentation covered search prominence, recommendations, price presentation, and add-to-cart variants, alongside qualitative research.
Connecting Shoplift variant IDs to Microsoft Clarity tags made it possible to filter recordings and heatmaps by test variant. The aim was to understand behaviour behind the numbers, not just report a winning variation.
For gift with purchase, I defined basket-size and redemption measures before delivery, designed the threshold states, and asked how tracking could be automated. The later AOV data did not establish a lift attributable to the feature.
A repeated co-purchase percentage led to investigating the underlying calculation. A display-only fix risked leaving the same data problem in another surface.
Feature reviews exposed events that identified a product but not the originating component. The reporting available could not establish whether a stock check or recommendation led to a cart add. I specified graded tracking options suited to the shared custom-component system.
Workshops establish the question. Shared systems make delivery sustainable. Store research exposes what a dashboard misses. Post-launch evaluation determines which conclusions are justified and which decisions need better evidence.
My contribution is connecting those stages, while making customer needs, business priorities, and the limits of the evidence visible to the people making the next decision.
Selected work and reporting through 2 October 2026. Feature usage and response counts are descriptive observations, not attributed revenue outcomes. Earlier archive images are shown for design context.