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KPMG

3 cohorts  ·  0 feedback entries  ·  0 open actions
Programme record · KPMG

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

Pooled NPS
+13
28% promoters  15% detractors
n=39 D2
vs Programme
-29
programme avg +42
Cohorts attended
3
CohortCityDatesD1 nD2 nNPSProg avgGapP/Pa/D
C12San FranciscoMay 28-29, 20262818+17+50-33
P 33%/Pa 50%/D 17%
C12San FranciscoMay 28-29, 20262817+12+50-38
P 29%/Pa 53%/D 18%
C21San FranciscoJuly 16–17, 202644+0+24-24
P 0%/Pa 100%/D 0%
Capability Profile
Persona mix
Developer 38%Architect 25%T.Lead 37%
AI proficiency
Learning 7%Applying 43%Independent 25%Frontier 25%
Seniority mix
Sr Prac 58%Mgr 42%
Content depth
Too basic 25%About right 75%
Pace
Too slow 16%Well paced 72%Too fast 12%
Relevance (mean)
4.2 / 5
D1 confidence (mean)
4.0 / 5
Confidence Δ (D1→D2)
+0.14
Confidence growth by domain
Build Δ
n=4 · too few
Design Δ
n=4 · too few
Commercial Δ
n=4 · too few
Persona × Seniority
PersonaIndividual ContributorSr PractitionerMgr / Sr MgrDirectorSVP / C-Level
Architect23
Developer41
Transformation Lead
Persona × AI Proficiency
PersonaLearningApplyingIndependentFrontier
Architect521
Developer2444
Transformation Lead1423
Satisfaction by Persona
Developer
n=7 · too few
Architect
n=6 · too few
Transformation Lead
n=5 · too few
Feedback log · KPMG

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 · KPMG

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

No open action items.