How Metra works

From voluntary inputs to aggregate evidence.

Metra records participant-reported health observations—including weight, blood pressure, blood sugar, and waist logs—then provides employer-level aggregate analytics. It is not clinical verification, it makes no representativeness assumption, and it does not make every subgroup reportable.

The product record

Evidence with the source and limits still attached.

01 / Participant

Participant-reported signals

Employees enter their own observations. The application stores dated logs; self-reported entries are not medical records or clinically verified measurements.

02 / Economic module

Eligible BMI economic module

Only eligible BMI-pathway inputs may enter the defined economic module. Other participant-reported markers remain non-monetized signals and are not silently converted into dollars.

03 / Representation

No representativeness assumption

Metra does not assume that participants, volunteers, or contributors represent the workforce. Coverage and participation should be read alongside the stated scope.

04 / Claims

No claims-calibrated output without claims

Claims are a separate financial source. When claims data is absent or unavailable, Metra does not produce claims-calibrated output, infer claims from logs, or turn participant signals into a claims forecast.

Illustrative report schematic — not a product screen

Keep administrative counts separate from health reporting.

Administration Roster and participation counts

Invited, eligible, enrolled, and contributing counts describe program administration.

Health reporting Aggregate signals

Risk movement and pathway values are subject to health-reporting thresholds.

Suppression Protect small groups

Health values can display as “Suppressed”; suppression is not a claim about an admin roster.

Administrative roster counts and aggregate health values are different reporting domains. A roster can be reported for program administration while a health metric is suppressed for privacy. Read Methodology v1.1 for assumptions and scope, and the attestation scope page for documentation.

Evidence in context

Have the limits explained before the decision conversation.

Talk through participation, suppression, claims availability, and the economic module with the Metra team before treating any signal as a conclusion.