CF

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

18 promoters7 passives2 detractorsacross 27 responses

NPS by campus

Each bar is the NPS computed from that campus's own verbatim responses

Recent verbatim — AI sentiment extraction

  • Marcus Lee · Hunter
    Promoter10/10

    AP-aware honors decisions made in 1 day instead of 4.

    Flagged positive: 'made in 1 day instead of 4' — turnaround

  • Priya Raman · Hunter
    Promoter9/10

    Equivalency rationale was clear enough to defend to faculty.

    Flagged positive: 'clear enough to defend' — explainability

  • Dana Whitfield · Hunter
    Promoter9/10

    Transfer credit mapping matched our catalog out of the box.

    Flagged positive: 'matched our catalog' — accuracy

  • Sam Ortiz · Hunter
    Promoter9/10

    Fraud flags caught an altered transcript we'd have missed.

    Flagged positive: 'caught an altered transcript' — integrity

  • Lena Cho · Hunter
    Promoter10/10

    Cut our manual review time roughly in half.

    Flagged positive: 'manual review time in half' — efficiency

  • Ibrahim Naser · Hunter
    Passive8/10

    Strong overall; we'd like bulk decision export next.

    Neutral (8/10): feature request 'bulk decision export'

  • Grace Lin · Macaulay
    Promoter10/10

    Honors review turnaround dropped from a week to a day.

    Flagged positive: 'a week to a day' — turnaround

  • Omar Haddad · Macaulay
    Promoter10/10

    The audit trail makes committee sign-off painless.

    Flagged positive: 'committee sign-off painless' — auditability

  • Tess Nadeau · Macaulay
    Promoter9/10

    Consistent rule application across every reviewer.

    Flagged positive: 'consistent rule application'

  • Ravi Menon · Macaulay
    Promoter9/10

    Clear explainability on each conversion.

    Flagged positive: 'clear explainability'

  • Beth Cole · Macaulay
    Passive8/10

    Very good; minor UI polish on my wishlist.

    Neutral (8/10): 'minor UI polish' — cosmetic

  • Sofia Diaz · Baruch
    Promoter10/10

    Honors transfer rationale templates saved hours.

    Flagged positive: 'saved hours' — efficiency

  • Jon Pyle · Baruch
    Promoter9/10

    Deterministic prereq checks we can explain to students.

    Flagged positive: 'deterministic prereq checks'

  • Mia Frank · Baruch
    Promoter9/10

    Accuracy on conversions has been excellent.

    Flagged positive: 'accuracy … excellent'

  • Karl Reed · Baruch
    Promoter9/10

    Smooth PeopleSoft sync, no manual cleanup.

    Flagged positive: 'no manual cleanup'

  • Nina Vasquez · Baruch
    Passive8/10

    Useful — still ramping on the rule builder.

    Neutral (8/10): 'still ramping' — learning curve

  • Dev Patel · Baruch
    Passive8/10

    Good; wish reports exported to our BI tool.

    Neutral (8/10): feature request 'BI tool export'

  • Darnell Brooks · Brooklyn
    Promoter9/10

    Pre-Med rule checks felt deterministic and explainable.

    Flagged positive: 'deterministic and explainable'

  • Aisha Bello · Brooklyn
    Promoter9/10

    Cleared a sync backlog we'd fought for months.

    Flagged positive: 'cleared a sync backlog'

  • Vera Koll · Brooklyn
    Promoter9/10

    Fraud flags caught two altered transcripts.

    Flagged positive: 'caught two altered transcripts'

  • Tom Reilly · Brooklyn
    Passive8/10

    Good; we still hit occasional manual overrides.

    Neutral (8/10): 'occasional manual overrides'

  • Pete Sane · Brooklyn
    Detractor6/10

    Helpful, but the dashboard felt busy at first.

    Flagged concern (6/10): 'dashboard felt busy' — usability

  • Hugo Reyes · Queens
    Promoter9/10

    Faster international evaluations overall.

    Flagged positive: 'faster … evaluations'

  • Sara Lund · Queens
    Promoter9/10

    Once configured, throughput improved a lot.

    Flagged positive: 'throughput improved a lot'

  • Min Park · Queens
    Passive8/10

    Sync into PeopleSoft cleared an old backlog of failures.

    Neutral (8/10): positive tone, scored in passive band

  • Lily Tan · Queens
    Passive7/10

    Decent; needed support to tune the rules.

    Neutral (7/10): 'needed support to tune'

  • Joe Kerr · Queens
    Detractor6/10

    Mixed — a few conversions needed rework.

    Flagged concern (6/10): 'conversions needed rework' — accuracy