BettaScore Methodology
How BettaScore works
BettaScore turns public product signals into concise, evidence-backed review scores for emerging technology.
Public-source research
BettaScore reads publicly available product pages, reviews, videos, community discussions, and media coverage. The output is a source-aware summary designed to show what people repeatedly notice about a product.
Sources are grouped by product and evidence dimension, then reduced to recurring signals instead of one-off comments. Strong repeated claims can raise confidence; thin or conflicting coverage keeps the public read more cautious.
Example: from signals to a product page
For a spatial-computing product such as Vision Pro, BettaScore looks for repeated public signals around display quality, passthrough, audio, comfort, controls, software ecosystem, price friction, and everyday use cases. The product page then distills those signals into a visible public rating, summary, evidence dimensions, and source context on one page.
How dimension scores are calculated
Every scored dimension uses one fixed formula: positive ÷ (positive + negative) × 100. The same evidence always produces the same dimension score.
Neutral evidence remains visible as useful context, but it does not directly raise or lower the score. Dimensions without enough valid scored evidence are labelled Sparse and do not contribute a numeric value to the product total.
Score dimensions
Product scores are organized around dimensions such as usability, capability, reliability, design, and market fit. Each product page keeps the visible score tied to the public evidence available for that product.
Source and update policy
BettaScore favors public sources that can be revisited, attributed, and grouped by product evidence. Product pages can change when the public evidence changes, when a new import adds stronger source coverage, or when a previous product interpretation needs correction.
Independence
BettaScore ratings are not merchant offers, affiliate prices, checkout availability, or raw user aggregate ratings. They are editorial-style public research signals intended to help readers decide what to inspect next.
Limits and interpretation
BettaScore should be read as an editorial-style public research score, not as a checkout offer, merchant rating, professional advice, or user aggregate rating.
Product pages can change as public evidence changes. When evaluating a purchase, use BettaScore alongside official specs, current pricing, retailer policies, and your own requirements.
Where to start
Browse the Discover catalog or read more about BettaScore to understand how the platform fits product research workflows.