Guided product matching
Planned and integrated a product quiz flow that helps shoppers navigate a sensitive, high-consideration product range with more confidence.
The Brief
Turning a mission-led wellness catalog into a guided buying experience
We redesigned the storefront around clarity, trust, and product education so customers could understand unfamiliar products, navigate Hebrew RTL content naturally, and find the right fit without feeling overwhelmed.
Delivery
What We Shipped
Full Hebrew localization
Implemented a complete RTL-aware storefront experience with localized content, navigation, and product education tailored for the Israeli market.
Educational content system
Structured the store around guides, FAQs, and blog content so the site could answer product questions before they became purchase blockers.
Trust-forward merchandising
Brought reviews, certifications, impact messaging, and comparison logic forward to help the brand feel credible without overwhelming the page.
Selected Screens
Selected Screens
Real homepage and product/content screens captured from the live site and used here as the visual source of truth.
01 / 03
The shop view combines trust cues, educational framing, and a clearer product grid so the catalog feels guided instead of overwhelming.
I Love My Honeypot collection page showing product benefits and a merchandise grid
Project Evidence
What Changed
Product quiz launched
The store now includes a guided quiz flow that helps customers narrow complex product choices through a more supportive decision journey.
No guided selectionLive quiz flow
Guided Quiz
Hebrew storefront delivered
The experience was rebuilt with full Hebrew and RTL support, including layout, navigation, and educational content tailored to the local audience.
Partial localizationFull RTL storefront
RTL Complete
Education became part of the buying flow
Guides, FAQ structure, and product explanations are integrated into the shopping journey so the site can teach without derailing conversion.
Minimal educationGuided content across the storefront
Content System
Mobile experience was tightened up
The browsing and product experience was reworked mobile-first so discovery, comparison, and trust cues remain clear on smaller screens.
Basic mobile handlingMobile-first flow
Mobile-first
Client Quote
“CartShift Studio understood our mission from day one. They built us a store that educates customers while making the shopping experience effortless. Our quiz feature alone has transformed how customers find their perfect products.”
Danielle Shamir
Founder, I Love My Honeypot
Deeper Context
Project Notes
The Challenge
Reusable menstrual care is a high-consideration category. Customers need help understanding unfamiliar formats, comparing fit and usage, and trusting the product before they are ready to buy. The Israeli storefront also needed to work naturally in Hebrew and RTL rather than feeling like a translated version of an English store.
The Approach
We organized the experience around four practical decisions:
- Guided selection: a product quiz gives first-time shoppers a clearer route into cups, discs, underwear, pads, and accessories.
- Product education: guides, FAQs, size information, and usage content sit close to the shopping journey instead of in a separate knowledge layer.
- Full localization: navigation, layout, content, and responsive behavior were built for Hebrew and RTL.
- Trust near purchase: reviews, certifications, benefits, and product guidance are surfaced where customers are making decisions.
The Implementation
The Shopify storefront combines a custom RTL-aware theme, Typeform quiz integration, mobile-first product browsing, localized content, and a content structure that supports ongoing education and SEO.
What Changed
The store moved from a catalog-first experience to a guided buying journey. Customers now have clearer ways to understand the category, narrow their options, and reach a relevant product page without relying on guesswork. The case study intentionally focuses on observable product and UX changes rather than unsupported conversion claims.