Confidence methodology

How Comparison Confidence Is Calculated

Confidence is derived from evidence quality—not assigned as a fixed marketing score. BillzWise evaluates sample size, independent contributors, provider diversity, and recency.

Core factors

Size · diversity · recency

Matching

Item · unit · context · attributes

Weak evidence

Explicit reasons, not hidden

Minimum evidence comes first

Before confidence can support a fairness verdict, a cohort needs at least three qualifying observations, two distinct bills, and two independent contributors. Falling below any minimum produces an insufficient-data result.

Confidence rises with diversity

More qualifying observations, distinct bills, independent contributors, and represented providers improve confidence. A cohort concentrated at one provider receives an explicit reduction reason.

Recent evidence matters more

Only the most recent 90 days are eligible. If the newest observation is more than 30 days old, the result explains that recency weakened confidence.

Matching dimensions are disclosed

Results identify whether comparison used a canonical item, normalised unit, provider or area context, and relevant diagnostic attributes. This helps users understand what was—and was not—held constant.

Low confidence stays free and cautious

A cohort may clear the minimum while still having limited evidence quality. BillzWise uses cautious copy, shows the reduction reasons, and does not charge for a low-confidence actionable insight.