Product Recommendation Quiz Template
A guided matcher that turns four preference questions into one confident recommendation — demonstrated on coffee brewers, adaptable to any catalog.
Answer four honest questions about your mornings and your patience, and we will match you to the brew method you will actually keep using.
"Which one should I get?" is the question every catalog page fails to answer, because catalogs describe products and buyers describe themselves. A recommendation quiz translates between the two. This template shows the pattern on coffee brewing — four questions about time, gear tolerance, tinkering appetite, and taste, resolving into one confident match — and the mechanism transfers unchanged to skincare routines, bike categories, software plans, or anything else people buy with mild anxiety.
How the matching works. Every scored option carries a hidden weight: the low-effort answer adds nothing to a craft variable, the middle answer adds one, the enthusiast answer adds two. Four questions put the total between 0 and 8, and three range rules pick the ending — 0 to 2 recommends the French press, 3 to 5 the pour-over, 6 and up the espresso setup. It is a single-axis matcher, which is exactly why it works: most product lines really do sort along one honest dimension (effort, budget, intensity), and one axis means the recommendation is explainable. The craft score is even piped into the result so the match shows its reasoning.
Why these questions. Notice that none of them ask "which product do you want?" — they ask about mornings, counters, and patience, things buyers know cold. The daily-cups question is deliberately unscored: it is context for you (a steady-stream drinker who matches to espresso is a different customer than a one-cup one), proof that not every question needs to move the needle to earn a place.
What we left out. Budget questions — on a quiz this short they read as a sales trap, and the recommendation itself implies the spend. Email gates before the result, too: gate the reveal and completion drops hard. Earn the address on the ending screen instead, where you have just been useful.
Who uses this. Specialty retailers embedding "find your match" on category pages, DTC brands whose product line confuses first-timers, SaaS teams routing visitors to the right plan, and creators recommending gear without writing another 3,000-word comparison post.
Make it yours. Rebuild the axis first: name the one dimension your products genuinely differ on, then rewrite the four questions as everyday situations along it. Re-point the scoring weights in the Logic panel, and rewrite each ending as a real recommendation — product name, one-line why, and a link in the ending copy. Watch the responses view for a week: if one ending dominates, your bands need shifting, and the score column tells you exactly where the line should move. And because every completed match is also a declared preference profile, a webhook can hand each one — signed, delivered in real time — to your store or CRM, where "matched to espresso" is a segment your next campaign will thank you for.
Frequently asked questions
How does the quiz choose which product to recommend?
Scored options add 0, 1, or 2 points to a calculated variable, and three range rules map the total to an ending screen. The whole mapping is editable in the Logic panel — no code involved.
Can I recommend from more than three products?
Yes — add more ending blocks and split the score range into narrower bands, one rule per band. Just make sure the bands cover every possible total so nobody falls through to the default.
Can I see which recommendation each visitor received?
The stored answers and the final score are on every response, so the responses view and CSV export show who matched to what — useful for checking the quiz against actual sales.
Does this work embedded on a product page?
Yes — use the inline embed for a native-feeling section or the popup for a "Find your match" button. The theme settings let it inherit your brand colors.