Blind Human Call Grading · Reliability Statement — template
Blind Human Call Gradingby PeerLab
Blind
Verified
Blind protocol

Issued each quarter with your marking

How consistently our assessors mark the same call

Programme  [client · programme] Issued  [date] Reference  [ref · quarter]

A score is only worth having if it isn't one person's opinion. Your marking is done by a calibrated panel of assessors; one call in five is independently marked a second time by another of them, working blind. This statement reports how closely those pairs agreed — the measure of whether the marking is consistent, and something you can place in front of your own clients.

[__]%
Within one band
On [x] of [y] double-marked criteria, the two assessors were no more than one point apart on the 0–4 scale.
[__]%
Exact agreement
On [x] of [y], they gave the identical score without rounding or tolerance.

What was measured

Each double-marked call is scored by two assessors independently; the second never sees the first's marks, the AI's score, the source report, or the participant's real name. Two figures are reported, and both are published rather than the flattering one alone:

Exact agreement
The two assessors recorded the identical 0–4 score on that criterion.
Within one band
Their scores differed by no more than a single point — the same judgement, one gradation apart.

The double-marked sample

Double-marked callAssessor pair CriteriaExactWithin one band
[call][#0__ · #0__][n][_]%[_]%
[call][#0__ · #0__][n][_]%[_]%
[call][#0__ · #0__][n][_]%[_]%
Combined[panel][N][_]%[_]%

Calls are identified by number and participants by code in all reliability reporting; assessors by an anonymous reference. Marks are 0–4 with an explicit not-applicable option, against [client]'s [N]-criterion [programme] rubric.

What is excluded, and why

Where a selected second-marking pass yields no comparable score — for example a not-applicable pass, or a recording too compromised to score fairly — it is left out of the figures above rather than counted as disagreement, and noted here, so that a data-quality finding is never misreported as an assessor one.
This quarter: [detail any exclusions, or “none”].

How to read this figure

These figures are drawn from [N] double-marked criteria across [n] calls this quarter. They are measured against the baseline at [baseline ref], and re-established as marking volume grows. Movement away from it, in either direction, is the signal worth watching: a falling figure asks whether the rubric or the calibration needs attention; a rising one confirms the panel is converging.

Blind Human Call Grading
Independent human marking · blind protocol · calibrated panel
Prepared for [client]. Commercial-in-confidence. Figures are reproducible from the marking record on request.