How Mister Mobile Turned 11,739 Repair Products Into an 8-Tap Quote

Mister Mobile is Singapore's largest phone repair shop, with over 15 years of experience and 10+ locations across the island. Beyond repairs, they run a full WooCommerce store covering trade-ins, accessories, and new and used devices.

That breadth is also their challenge. Mister Mobile services five device categories — Phone, Tablet, Watch, Laptop, and Accessories — across 17 brands (Apple, Samsung, Xiaomi, Oppo, Vivo, Huawei, Honor, OnePlus, and more), spanning 136 product series and 1,798 individual models. Each model carries its own set of repair services: LCD, screen, back glass, charging port, battery, camera, motherboard, water damage, and beyond. Multiply that out and the storefront holds 11,739 distinct repair products. For a customer with a cracked screen, that's not a catalog — it's a maze.

• Industry: Device Repair / E-commerce
• Location: Singapore
• Platform: WordPress + WooCommerce
• Plan: Quizell Enterprise
• Quiz type: Multi-step product finder with dynamic matching
• Build: Custom HTML, CSS & JS · 6 levels of jump logic · dynamic fallback matching

A customer arrives knowing one thing: 'My phone screen is broken.' What they don't know is the exact product page they need out of nearly twelve thousand. Before the quiz, finding the right repair meant navigating a deep WooCommerce hierarchy by hand — category, brand, model, then issue — with the very real risk of landing on the wrong page, picking the wrong service, or giving up entirely.

• Catalog overload. 11,739 repair SKUs are impossible to browse. Customers couldn't reliably self-serve their way to the correct product.
• Repair ambiguity. 'Screen issue' can mean an external LCD, an internal LCD, a touch fault, or a full assembly — each a different product at a different price. Customers don't speak in part names.
• Wrong bookings. A customer selecting the wrong repair creates downstream friction: incorrect quotes, re-diagnosis in store, and wasted technician time.
• No graceful fallback. When a customer's exact device-and-issue combination didn't map to a listed product, the journey simply dead-ended.

Mister Mobile didn't need a quiz. They needed a diagnostic funnel that could absorb the full complexity of their catalog and hand every customer back a single, correct answer — in seconds.

Quizell built Mister Mobile a custom Repair Checker quiz embedded directly in their WordPress site. To the customer, it's eight effortless steps. Underneath, it's one of the most logic-dense builds on the platform.

The user journey is deliberately linear and calm: Get Started (a branded landing screen — 'Get a Repair Quote in 60 Seconds'), Device Type, Brand, Series, Model, Issue Type, Symptoms Validation, and Result.

215+ pages under the hood: What feels like a short, single path is in reality a branching tree of over 215 quiz pages — and more once dynamic pages (like the symptoms step) are counted. Every selection narrows the next set of options through six levels of jump logic mapped against Mister Mobile's complete product list. A customer never sees a Samsung option after choosing Apple, or a laptop repair after choosing a watch. The complexity is entirely absorbed by the build, never passed to the user.

Dynamic product matching: The core engine combines Step 5 (model) × Step 6 (issue) and resolves it to a specific WooCommerce repair product via tagging. Pick iPhone 17 Pro Max + Battery and the quiz surfaces iPhone 17 Pro Max Battery Replacement — the precise SKU, priced and bookable.

A fallback that never dead-ends: When a device-and-issue combination has no exact product match — or the customer selects 'Other Issues' — the quiz doesn't fail. It triggers dynamic product matching on the no-result page, recommending the closest available repairs for that exact model, alongside a WhatsApp CTA to Mister Mobile support and a link to the model's full repair page. Every path ends in a next step. Zero dead-ends.

Built with custom code, not just a template: This wasn't an off-the-shelf quiz. The Quizell team built it using the platform's editor tools extended with custom HTML, CSS, and JavaScript to handle the bespoke routing, the dynamic recommendation logic, and an interface that matches Mister Mobile's bold black-and-yellow brand exactly.

The brief that landed in the shared Slack channel was simple to state and hard to solve: take a WooCommerce store with more than 11,000 repair products and make it feel like a 60-second conversation.

Most quiz tools cap out long before this. A handful of questions, a handful of outcomes, a recommendation. Mister Mobile's catalog needed something closer to a decision engine — one that could route across five device types, seventeen brands, and 1,798 models without ever showing a customer an option that didn't apply to them.

The team mapped the full product list into a jump-logic tree. Each step became a filter on the one before it, collapsing 11,739 possibilities down to a single correct product in eight taps. Where the standard editor reached its limit, the build moved into custom HTML, CSS, and JavaScript — for the dynamic matching, the branded UI, and the fallback logic.

That fallback turned out to be the detail that mattered most. In a catalog this size, edge cases are guaranteed: a model with an unusual issue, a customer who isn't sure what's wrong, a repair Mister Mobile handles but hasn't listed as its own SKU. A lesser build would dead-end them. This one detects the gap and responds — surfacing the nearest matching repairs for that exact device and routing the customer to WhatsApp support so a human can close the loop.

The whole thing was built collaboratively during a focused two-week window on Quizell's Unlimited plan, with a dedicated Slack channel connecting the two teams directly. The result is a quiz that hides extraordinary complexity behind a calm, branded, eight-step experience — the kind of build that's only possible when a platform can flex from no-code into full custom code without leaving the editor.

The build, broken down:

• Device types routed: 5
• Brands: 17
• Product series: 136
• Device models: 1,798
• Repair products mapped: 11,739
• Quiz pages built: 215+
• Levels of jump logic: 6 (device → brand → series → model → issue → symptoms)
• User-facing steps: 8
• Custom code: HTML · CSS · JavaScript
• Matching engine: Dynamic model × issue → WooCommerce SKU
• Fallback: Dynamic closest-match recommendations + WhatsApp handoff
• Dead-ends: 0

• The complexity lives in the build, not the customer. A customer answers eight intuitive questions. They never know they just navigated a 215-page logic tree across 11,739 products. That's the entire point — sophistication should be invisible.
• Progressive filtering removes every wrong turn. Each step only shows options that are valid given the last one. No dead options, no irrelevant brands, no impossible combinations. The funnel can't be misused because it never offers a wrong path.
• Symptoms validation prevents costly mistakes. The dedicated symptoms step lets customers confirm they've picked the right issue before booking — designed to cut down on wrong bookings, re-diagnosis, and the friction that follows a mismatched quote.
• The fallback turns dead-ends into conversations. No exact match doesn't mean no outcome. Dynamic recommendations plus a WhatsApp handoff mean even the rarest edge case ends with a clear next step — and a captured lead.
• Custom code, native experience. Built in Quizell's editor and extended with HTML, CSS, and JS, the quiz lives natively inside Mister Mobile's WordPress site and matches their brand pixel-for-pixel. Customers don't realize it runs on Quizell.

Plenty of quizzes can drive conversions with an elegant, on-brand experience. Mister Mobile proves something rarer: that Quizell scales to genuine enterprise complexity — five-figure catalogs, custom code, dynamic matching, and zero-dead-end logic — while keeping the customer experience down to eight taps.

If your catalog is too big for your customers to navigate, it's not too big for Quizell.