Product Recommendation Quiz Logic for Shopify: A Worked Example
Plan Shopify quiz matching with product eligibility, preference scores, tie handling, and no-match results using a simple backpack example.
Separate requirements from preferences
Product recommendation logic should first identify suitable items, then help the shopper choose among them. A required laptop size and a firm maximum budget are different from a preferred color. Treating all three as equal votes can recommend a bag that looks right but cannot carry the laptop.
Write a product matrix before configuring the quiz. For each item, record the attributes your questions depend on. If you do not have reliable dimensions, compatibility, or pricing information, resolve that gap before asking a question that promises to match it.
Build a three-product example
Imagine three fictional backpacks: Commuter costs $60, fits a 13-inch laptop, and has a compact design; Workday costs $85, fits a 15-inch laptop, and has an organizer; Weekend costs $95, fits a 15-inch laptop, and has extra packing space. These values illustrate a planning method rather than built-in SmartSell scoring.
Ask the shopper for laptop size, maximum budget, and main use: commuting, office organization, or short trips. For a 15-inch laptop and a $90 limit, only Workday remains eligible. Its eligibility should not be overturned because the shopper also prefers extra packing space.
Use preference scores only among eligible products
If the shopper instead allows up to $100, both Workday and Weekend are eligible. In a builder that supports weighted scoring, you could give two points for the main use and one point for a secondary preference. A short-trip answer would favor Weekend; office organization would favor Workday.
If your builder uses direct product mapping, attach the appropriate products to the answer choices and test how combined answers behave. Do not assume that mapped answers implement strict exclusions, AND conditions, or weighted scores. Use only the matching controls you have verified in the published quiz.
Design ties and no-match results deliberately
When two products remain equally suitable, show both and explain the tradeoff: more organization versus more packing space. A tie is not necessarily a failure; it can expose the final decision the shopper needs to make.
For a 15-inch laptop and a $70 limit, this catalog has no suitable product. Say so and let the shopper adjust the budget. Recommending Commuter would violate the size requirement even though it fits the price. Keep a clear path back to the questions.
Create a result checklist before launch
Record at least these test paths: 13-inch laptop under $70, 15-inch laptop under $90, 15-inch laptop under $100 with each use preference, and 15-inch laptop under $70. Write the expected result beside each path, then complete the published quiz and compare.
Repeat relevant paths when you change product prices, inventory, or answer mappings. Also check product links and mobile presentation. A polished quiz cannot compensate for a recommendation that violates the shopper requirements.
Questions Shopify merchants ask
What is the difference between a filter and a preference?
A filter removes an unsuitable product, such as one over a firm budget. A preference helps order products that are still eligible, such as a preferred color.
What should happen when products tie?
Use a consistent rule, such as showing both with their differences, or ordering by a relevant secondary preference. Do not invent precision that the quiz has not measured.
Does every quiz app support weighted scoring?
No. Check the matching controls available in your app. You may need direct answer-to-product mapping or a simpler quiz instead of a custom scoring formula.
Create a product recommendation quiz for your Shopify store
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