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Quantium

2 cohorts  ·  0 feedback entries  ·  0 open actions
Programme record · Quantium

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

Pooled NPS
too few to report
n=6 D2 · need ≥20
Cohorts attended
2
CohortCityDatesD1 nD2 nNPSProg avgGapP/Pa/D
C16LondonJune 15-16, 202633+0+17-17
P 0%/Pa 100%/D 0%
C20San FranciscoJuly 14–15, 202643+33+35-2
P 33%/Pa 67%/D 0%
Capability Profile
Persona mix
Developer 57%Architect 14%T.Lead 29%
AI proficiency
Learning 14%Applying 14%Independent 57%Frontier 14%
Seniority mix
Sr Prac 33%Mgr 67%
Content depth
Too basic 57%About right 43%
Pace
Too slow 29%Well paced 71%
Relevance (mean)
4.2 / 5
D1 confidence (mean)
4.5 / 5
Confidence Δ (D1→D2)
n=6 · too few
Confidence growth by domain
Build Δ
n=3 · too few
Design Δ
n=3 · too few
Commercial Δ
n=3 · too few
Feedback log · Quantium

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 · Quantium

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

No open action items.