The eNPS model
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What the single recommend-a-friend question asks, exactly how the score is worked out, and how it differs from a multi-dimension check
eNPS is SquadBear's built-in one-question model - a "would you recommend working here" score on the standard Net Promoter Score scale and arithmetic.
The question
eNPS has exactly one dimension, "Recommend as a place to work": how likely are you to recommend this company as a place to work, rated 0 (Not at all likely) to 10 (Extremely likely). It ships fixed - built-in models cannot be edited. A model you build at Team health → Health settings can be renamed and gain dimensions.
eNPS returns one comparable number per run. A multi-dimension model - Pulse 5, Team Health 11 - attributes a score to each named dimension.
How the score is worked out
Every 0–10 rating buckets into one of three groups: 9–10 is a promoter, 7–8 is a passive, 0–6 is a detractor - the standard NPS split. The score is percent promoters minus percent detractors, rounded to a whole number from −100 to 100. Three ratings of 9, 9 and 3 make two promoters and one detractor: (2−1)/3 = 33%, so the run reads 33.
The score comes from the distribution a run collected, never from stored per-response numbers, and it is frozen in the run's snapshot at close. Closing an Alias or Anonymous run also rotates every author hash, so contribution-to-person is unrecoverable afterwards. A closed run cannot be reopened.
How it appears in trends
On Health trends, an eNPS row plots the −100..100 score, never the raw 0–10 average, and formats it signed - +27. A dimension with no revealed value shows a dash.
The change-since-last-run figure is average-based, so on an eNPS row it would be a 0–10 delta beside a −100..100 headline - the row omits it here and on the run's own results page. The average still drives the alert: closing a run notifies its facilitators of any dimension whose average fell by at least 15% of its scale range, 1.5 points on eNPS's 0–10.
Running a check
Start one at Team health → Health checks → New health check, model eNPS. Show results after sets how many answers the dimension needs before the close snapshot reveals a score - it defaults to 3, and 1 reveals from the first response. In Anonymous mode the roster withholds names: the response count is visible, the names are not. The only schedule control is Automatically closes - past that deadline ratings are refused with a 409 and the nightly job closes the run.
Worked example
Ahead of a board update, Marta opens Northlake's first eNPS check on the Platform team, anonymous, then invites the other ten people from Northlake's other teams through Manage participants on the run. All 15 answer: two rate 10, five rate 9 (seven promoters), three rate 8, two rate 7 (five passives), and one each rate 5, 4 and 3 (three detractors). (7−3)/15 = 26.7%, which rounds to 27 - the number Northlake compares its next eNPS run against. Because the check runs on Platform, that is the team whose Health trends page carries its line.