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UST Global

2 cohorts  ·  0 feedback entries  ·  0 open actions
Programme record · UST Global

Quantitative data from post-programme surveys. NPS, participation, and benchmark against programme average across all cohorts attended.

Pooled NPS
too few to report
n=14 D2 · need ≥20
Cohorts attended
2
CohortCityDatesD1 nD2 nNPSProg avgGapP/Pa/D
C18San FranciscoJune 22–23, 202611+100+35+65
P 100%/Pa 0%/D 0%
C19San FranciscoJune 24–25, 20261313+38+55-17
P 46%/Pa 46%/D 8%
Capability Profile
Persona mix
Developer 29%Architect 71%
AI proficiency
Learning 7%Applying 50%Independent 21%Frontier 21%
Seniority mix
Sr Prac 25%Mgr 75%
Content depth
About right 100%
Pace
Too slow 7%Well paced 79%Too fast 14%
Relevance (mean)
4.1 / 5
D1 confidence (mean)
3.8 / 5
Confidence Δ (D1→D2)
n=14 · too few
Confidence growth by domain
Build Δ
n=13 · too few
Design Δ
n=13 · too few
Commercial Δ
n=13 · too few
Persona × Seniority
PersonaIndividual ContributorSr PractitionerMgr / Sr MgrDirectorSVP / C-Level
Architect13
Developer
Persona × AI Proficiency
PersonaLearningApplyingIndependentFrontier
Architect433
Developer13
Satisfaction by Persona
Architect
n=10 · too few
Feedback log · UST Global

Anecdotal feedback from partner reps, stakeholders, and other sources. Each entry is sourced and benchmarked against survey data where available. Hearsay entries are flagged — weight accordingly.

No feedback logged yet. Run org_intake.py to add entries.
Action items · UST Global

Org-specific actions arising from survey data and feedback. Programme-wide actions are tracked separately in programme-actions.yaml.

No open action items.