Every pet supply website
is a wall of products.
We built one that knows your pet
before you search.

Solo product designer. Self-initiated. End to end — research, information architecture, visual design, testing.

Role Solo Product Designer · Self-Initiated
Methods Research · IA · Visual Design · Usability Testing
Participants 12 research interviews · 5 usability testers
Outcome 100% task success · 4.8 / 5 ease-of-use
Duration 6 weeks · Oct–Dec 2025
Try the prototype →

12 owners. Every one described
anxiety, not shopping.

I ran 12 in-depth interviews and a competitor analysis across five platforms — Shopee, Lazada, Kohepets, Pet Lovers Centre, Perromart. What I heard wasn't about products.

It was about not wanting to accidentally hurt their pet. That was the actual brief.

92%

Had specialised dietary needs

Health was the primary purchase driver — above price, brand, or convenience.

83%

Shopped with a specific product

Came to check, not browse. They needed answers before options.

75%

Relied on external validation

Vet or community confirmation before committing to anything new.

Competitor analysis across five pet supply platforms — all organised by brand and category, never by pet

Every competitor. Brands first. Your pet, an afterthought.

I ran a card sort with all 12 participants. Every single one grouped by pet first — species, then age, then health condition. Not brand. Not product category. That single finding rewrote the information architecture.

Card sort results — participants grouped by pet first, not category

Card sort — 12 participants, grouped by pet before anything else.

Organised by pet.
Not brand.

I ran a card sort with all 12 participants. Every single one grouped by pet first — species, then age, then health condition. Not brand. Not product category.

So the information architecture matches that. Before any browsing, Paw Haus asks: who are you shopping for? Products filter themselves from that answer.

Pet-first onboarding flow — the site asks who you're shopping for before showing products

Who are you shopping for? That question comes before any product.

Warning tag. Match indicator.
Same product. Different decision.

V1 used warning labels. Every tester read it as "dangerous" and left the page — even when the product was safe for their pet.

V1 · Warning tag · Users left V2 · Match indicator · 100% stayed
Before and after: warning tag vs match indicator — same product, opposite emotional framing

Same product. One communicated danger. One communicated fit.

100% of testers found a safe, allergen-specific product without a vet visit or physical store trip — validating the hypothesis that safety-first architecture reduces purchase anxiety. Research to tested prototype, no brief, no client, no team.

Paw Haus final homepage — 100% task success, 4.8/5 ease-of-use score

Paw Haus · Final design · 100% task success · 4.8/5 ease-of-use

100%

Found safe food for their petIn V1 testing, only 1 of 5 participants found the reorder section — it was below the fold and framed as a product category, not a shortcut. V2 moved it above the fold with a dedicated returning customer entry point.

4.8/5

Ease-of-use scoreStructured usability testing, 5 participants

96%

Trusted the recommendationsPet profile system, confirmed across all participants

"I actually check the ingredients to make sure there's not any random stuff I don't understand. For food, I 100% always check."

If I couldn't find it
in the research,
I didn't build it.

Anxiety is a design brief

The stated brief was "e-commerce platform." The actual problem was verification anxiety — owners couldn't act without feeling certain first. Finding that distinction was the most important design decision in the project.

The framing of a label changes the decision

Warning tag versus match indicator — same product, completely different outcome. One communicated danger. One communicated fit. Tone is structure. The language of safety is a design system choice, not copy.

Card sorts don't lie about IA

Every participant sorted by pet before anything else. I could have argued for category-first — most e-commerce does. But the research was clear. Following that data produced a flow that required zero explanation to navigate.