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KPMG

5 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
+19
37% promoters  19% detractors
n=32 D2
vs Programme
-24
programme avg +43
Cohorts attended
5
CohortCityDatesD1 nD2 nNPSProg avgGapP/Pa/D
C12San FranciscoMay 28-29, 20262818+17+50-33
P 33%/Pa 50%/D 17%
C21San FranciscoJuly 16–17, 202644+0+24-24
P 0%/Pa 100%/D 0%
C24San FranciscoJuly 27–28, 20261010+30+45-15
P 60%/Pa 10%/D 30%
C25San FranciscoJuly 29–30, 202610
C30San FranciscoAugust 27–28, 202610
Capability Profile
Persona mix
Developer 34%Architect 23%T.Lead 43%
AI proficiency
Learning 20%Applying 39%Independent 20%Frontier 20%
Seniority mix
Sr Prac 54%Mgr 46%
Content depth
Too basic 23%About right 75%Too advanced 2%
Pace
Too slow 11%Well paced 68%Too fast 20%
Relevance (mean)
3.9 / 5
D1 confidence (mean)
4.4 / 5
Confidence Δ (D1→D2)
+0.28
Confidence growth by domain
Build Δ
+0.28
Design Δ
+0.28
Commercial Δ
+0.34
Persona × Seniority
PersonaIndividual ContributorSr PractitionerMgr / Sr MgrDirectorSVP / C-Level
Architect23
Developer51
Transformation Lead2
Persona × AI Proficiency
PersonaLearningApplyingIndependentFrontier
Architect2521
Developer2544
Transformation Lead5734
Satisfaction by Persona
Developer
n=10 · too few
Architect
n=8 · too few
Transformation Lead
n=14 · 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.