01_METHODOLOGY
Most quizzes hide their scoring. Ours publishes every weight — 5 questions, 18 answer options, 13 printers, 270 score cells. Auditable.
TRANSPARENT_SCORING_ENGINE
v2026.1_STABLEThe 3Dnatives quiz, ProductChart filter, and most vendor quizzes share one weakness: hidden scoring. You answer questions, you get a result, you have no idea why. If the result feels wrong, your only option is to re-take the quiz with different answers — guessing at what changes the outcome.
Our quiz publishes every weight in src/data/quiz-scoring.ts. Each answer awards 0-10 points to relevant printers across 5 dimensions: use case, budget, experience, multi-color, environment. The result page shows you exactly which questions drove each pick — not "you got the P2S" but "the P2S won because your use case + experience combination scored 19/20 on those dimensions."
Three rules baked into the engine: always return the top 3 (never collapse to one "winner" — different priorities can produce different right answers); cite the strongest scoring dimension per result; and always provide a "browse all printers" escape hatch in case the algorithm misses something obvious about your setup.
Tuning policy: these weights are seeded from our review research. Post-launch we will tune them using click-through analytics from the result→review path. The whole scoring file is on git — every weight change is auditable in the commit history.
