01 Same instrument across rounds and panels
Every cohort takes the same battery under the same conditions, scored by the same rules. The data the panel works from is comparable across rounds because the measurement is.
Inconsistency between rounds isn't usually about the panels — it's about the panels working from different data. Standardizing the data layer is the cheapest way to standardize the decisions that come out of it.
02 Cohort view standardizes how scores are surfaced
The panel always opens the same screen: the cohort ranked on the same metrics, in the same layout. The visual frame doesn't change between rounds.
When the working surface is the same every time, the deliberation rests on the candidates' data — not on each panel's habit of formatting that data slightly differently.
03 Scoring rules live in the platform, not in the panel
Cutoffs, weighting, and ranking logic are configured once and applied identically to every cohort. The bar is platform-level — what counts as 'above the bar' doesn't depend on who's at the table this quarter.
Standardizing the rules doesn't replace the panel's judgment. It gives every panel the same starting point for it — and lets the year-over-year drift the panels don't see become a question the data can answer.