Campus satisfaction
NPS derived from AI-scored verbatim survey responses — each comment shows its work
NPS (overall)
60
Promoters
67%
Passives
26%
Detractors
7%
How this is calculated
AI scans each verbatim survey response, extracts a 0–10 likelihood-to-recommend score, and classifies it: Promoters 9–10 · Passives 7–8 · Detractors 0–6.
Net Promoter Score
NPS = %Promoters − %Detractors = 67% − 7% = 60
NPS by campus
Each bar is the NPS computed from that campus's own verbatim responses
Recent verbatim — AI sentiment extraction
- Marcus Lee · HunterPromoter10/10
AP-aware honors decisions made in 1 day instead of 4.
Flagged positive: 'made in 1 day instead of 4' — turnaround
- Priya Raman · HunterPromoter9/10
Equivalency rationale was clear enough to defend to faculty.
Flagged positive: 'clear enough to defend' — explainability
- Dana Whitfield · HunterPromoter9/10
Transfer credit mapping matched our catalog out of the box.
Flagged positive: 'matched our catalog' — accuracy
- Sam Ortiz · HunterPromoter9/10
Fraud flags caught an altered transcript we'd have missed.
Flagged positive: 'caught an altered transcript' — integrity
- Lena Cho · HunterPromoter10/10
Cut our manual review time roughly in half.
Flagged positive: 'manual review time in half' — efficiency
- Ibrahim Naser · HunterPassive8/10
Strong overall; we'd like bulk decision export next.
Neutral (8/10): feature request 'bulk decision export'
- Grace Lin · MacaulayPromoter10/10
Honors review turnaround dropped from a week to a day.
Flagged positive: 'a week to a day' — turnaround
- Omar Haddad · MacaulayPromoter10/10
The audit trail makes committee sign-off painless.
Flagged positive: 'committee sign-off painless' — auditability
- Tess Nadeau · MacaulayPromoter9/10
Consistent rule application across every reviewer.
Flagged positive: 'consistent rule application'
- Ravi Menon · MacaulayPromoter9/10
Clear explainability on each conversion.
Flagged positive: 'clear explainability'
- Beth Cole · MacaulayPassive8/10
Very good; minor UI polish on my wishlist.
Neutral (8/10): 'minor UI polish' — cosmetic
- Sofia Diaz · BaruchPromoter10/10
Honors transfer rationale templates saved hours.
Flagged positive: 'saved hours' — efficiency
- Jon Pyle · BaruchPromoter9/10
Deterministic prereq checks we can explain to students.
Flagged positive: 'deterministic prereq checks'
- Mia Frank · BaruchPromoter9/10
Accuracy on conversions has been excellent.
Flagged positive: 'accuracy … excellent'
- Karl Reed · BaruchPromoter9/10
Smooth PeopleSoft sync, no manual cleanup.
Flagged positive: 'no manual cleanup'
- Nina Vasquez · BaruchPassive8/10
Useful — still ramping on the rule builder.
Neutral (8/10): 'still ramping' — learning curve
- Dev Patel · BaruchPassive8/10
Good; wish reports exported to our BI tool.
Neutral (8/10): feature request 'BI tool export'
- Darnell Brooks · BrooklynPromoter9/10
Pre-Med rule checks felt deterministic and explainable.
Flagged positive: 'deterministic and explainable'
- Aisha Bello · BrooklynPromoter9/10
Cleared a sync backlog we'd fought for months.
Flagged positive: 'cleared a sync backlog'
- Vera Koll · BrooklynPromoter9/10
Fraud flags caught two altered transcripts.
Flagged positive: 'caught two altered transcripts'
- Tom Reilly · BrooklynPassive8/10
Good; we still hit occasional manual overrides.
Neutral (8/10): 'occasional manual overrides'
- Pete Sane · BrooklynDetractor6/10
Helpful, but the dashboard felt busy at first.
Flagged concern (6/10): 'dashboard felt busy' — usability
- Hugo Reyes · QueensPromoter9/10
Faster international evaluations overall.
Flagged positive: 'faster … evaluations'
- Sara Lund · QueensPromoter9/10
Once configured, throughput improved a lot.
Flagged positive: 'throughput improved a lot'
- Min Park · QueensPassive8/10
Sync into PeopleSoft cleared an old backlog of failures.
Neutral (8/10): positive tone, scored in passive band
- Lily Tan · QueensPassive7/10
Decent; needed support to tune the rules.
Neutral (7/10): 'needed support to tune'
- Joe Kerr · QueensDetractor6/10
Mixed — a few conversions needed rework.
Flagged concern (6/10): 'conversions needed rework' — accuracy