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IBM

7 cohorts  ·  0 feedback entries  ·  0 open actions
Programme record · IBM

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

Pooled NPS
too few to report
n=16 D2 · need ≥20
Cohorts attended
7
CohortCityDatesD1 nD2 nNPSProg avgGapP/Pa/D
C24San FranciscoJuly 27–28, 202610
C25San FranciscoJuly 29–30, 202611+100+44+56
P 100%/Pa 0%/D 0%
C27LondonJuly 29–30, 202611+100+43+57
P 100%/Pa 0%/D 0%
C29San FranciscoAugust 24–25, 202633+67+48+19
P 67%/Pa 33%/D 0%
C31San FranciscoSeptember 9–10, 202643+100+36+64
P 100%/Pa 0%/D 0%
C32San FranciscoSeptember 15–16, 202655+60+56+4
P 60%/Pa 40%/D 0%
C33San FranciscoSeptember 17–18, 202633+100+40+60
P 100%/Pa 0%/D 0%
Capability Profile
Persona mix
Developer 50%Architect 28%T.Lead 22%
AI proficiency
Learning 17%Applying 61%Independent 17%Frontier 6%
Seniority mix
Sr Prac 50%Mgr 50%
Content depth
Too basic 11%About right 83%Too advanced 6%
Pace
Well paced 94%Too fast 6%
Relevance (mean)
4.4 / 5
D1 confidence (mean)
4.6 / 5
Confidence Δ (D1→D2)
n=16 · too few
Confidence growth by domain
Build Δ
n=16 · too few
Design Δ
n=16 · too few
Commercial Δ
n=16 · too few
Persona × Seniority
PersonaIndividual ContributorSr PractitionerMgr / Sr MgrDirectorSVP / C-Level
Architect13
Developer31
Transformation Lead11
Persona × AI Proficiency
PersonaLearningApplyingIndependentFrontier
Architect32
Developer171
Transformation Lead211
Satisfaction by Persona
Developer
n=8 · too few
Architect
n=4 · too few
Transformation Lead
n=4 · too few
Feedback log · IBM

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 · IBM

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

No open action items.