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Capgemini

9 cohorts  ·  0 feedback entries  ·  0 open actions
Programme record · Capgemini

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

Pooled NPS
+59
62% promoters  3% detractors
n=34 D2
vs Programme
+16
programme avg +43
Cohorts attended
9
CohortCityDatesD1 nD2 nNPSProg avgGapP/Pa/D
C6LondonMay 18–19, 202653+100+43+57
P 100%/Pa 0%/D 0%
C9LondonMay 20-21, 202621+0+38-38
P 0%/Pa 100%/D 0%
C14LondonJune 4-5, 202621+100+39+61
P 100%/Pa 0%/D 0%
C16LondonJune 15-16, 202641-100+17-117
P 0%/Pa 0%/D 100%
C22LondonJuly 20–21, 2026137+57+41+16
P 57%/Pa 43%/D 0%
C23LondonJuly 22–23, 202610
C27LondonJuly 29–30, 20262720+65+43+22
P 65%/Pa 35%/D 0%
C32San FranciscoSeptember 15–16, 202611+0+56-56
P 0%/Pa 100%/D 0%
C33San FranciscoSeptember 17–18, 202630
Capability Profile
Persona mix
Developer 24%Architect 38%T.Lead 38%
AI proficiency
Learning 33%Applying 41%Independent 16%Frontier 10%
Seniority mix
Sr Prac 40%Mgr 60%
Content depth
Too basic 5%About right 78%Too advanced 17%
Pace
Too slow 7%Well paced 83%Too fast 10%
Relevance (mean)
4.1 / 5
D1 confidence (mean)
4.1 / 5
Confidence Δ (D1→D2)
+0.24
Confidence growth by domain
Build Δ
+0.24
Design Δ
+0.18
Commercial Δ
+0.26
Persona × Seniority
PersonaIndividual ContributorSr PractitionerMgr / Sr MgrDirectorSVP / C-Level
Architect313
Developer81
Transformation Lead37
Persona × AI Proficiency
PersonaLearningApplyingIndependentFrontier
Architect10552
Developer3911
Transformation Lead61033
Satisfaction by Persona
Developer
n=10 · too few
Architect
n=14 · too few
Transformation Lead
n=10 · too few
Strategic Insights
Programme fit: Excellent alignment — 4.1/5 relevance with +0.24 confidence growth; 78% rate content depth as optimal
Team composition: Well-balanced across Developers, Architects, and Leaders — NPS +59 reflects strong multi-functional engagement
Partner stability: Consistent engagement across 9 cohorts — reliability signal for strategic expansions
Feedback log · Capgemini

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 · Capgemini

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

No open action items.