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Deloitte

24 cohorts  ·  0 feedback entries  ·  0 open actions
Programme record · Deloitte

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

Pooled NPS
+49
59% promoters  10% detractors
n=156 D2
vs Programme
+6
programme avg +43
Cohorts attended
24
CohortCityDatesD1 nD2 nNPSProg avgGapP/Pa/D
C6LondonMay 18–19, 202622+50+43+7
P 50%/Pa 50%/D 0%
C7San FranciscoMay 19-20, 20261513+62+32+30
P 69%/Pa 23%/D 8%
C8San FranciscoMay 21-22, 20262117+47+43+4
P 59%/Pa 29%/D 12%
C9LondonMay 20-21, 202631+100+38+62
P 100%/Pa 0%/D 0%
C11San FranciscoMay 26-27, 20261511+82+73+9
P 82%/Pa 18%/D 0%
C12San FranciscoMay 28-29, 20263218+83+50+33
P 83%/Pa 17%/D 0%
C13LondonJune 2-3, 202642+50+40+10
P 50%/Pa 50%/D 0%
C14LondonJune 4-5, 202676+0+39-39
P 33%/Pa 33%/D 33%
C15San FranciscoJune 16-1722+100+55+45
P 100%/Pa 0%/D 0%
C16LondonJune 15-16, 2026116+0+17-17
P 33%/Pa 33%/D 33%
C18San FranciscoJune 22–23, 202685-20+35-55
P 20%/Pa 40%/D 40%
C19San FranciscoJune 24–25, 202666+83+55+28
P 83%/Pa 17%/D 0%
C20San FranciscoJuly 14–15, 2026109+44+35+9
P 56%/Pa 33%/D 11%
C21San FranciscoJuly 16–17, 202633+67+24+43
P 67%/Pa 33%/D 0%
C22LondonJuly 20–21, 202630
C23LondonJuly 22–23, 202610
C24San FranciscoJuly 27–28, 202686+67+45+22
P 67%/Pa 33%/D 0%
C25San FranciscoJuly 29–30, 202699+33+44-11
P 33%/Pa 67%/D 0%
C27LondonJuly 29–30, 202644+50+43+7
P 50%/Pa 50%/D 0%
C29San FranciscoAugust 24–25, 20261412+50+48+2
P 58%/Pa 33%/D 8%
C30San FranciscoAugust 27–28, 2026118+12+31-19
P 50%/Pa 12%/D 38%
C31San FranciscoSeptember 9–10, 20261110+10+36-26
P 30%/Pa 50%/D 20%
C32San FranciscoSeptember 15–16, 202632+100+56+44
P 100%/Pa 0%/D 0%
C33San FranciscoSeptember 17–18, 202684+50+40+10
P 50%/Pa 50%/D 0%
Capability Profile
Persona mix
Developer 31%Architect 14%T.Lead 55%
AI proficiency
Learning 28%Applying 50%Independent 15%Frontier 7%
Seniority mix
Sr Prac 30%Mgr 70%
Content depth
Too basic 11%About right 77%Too advanced 11%
Pace
Too slow 4%Well paced 80%Too fast 16%
Relevance (mean)
4.2 / 5
D1 confidence (mean)
3.6 / 5
Confidence Δ (D1→D2)
+0.35
Confidence growth by domain
Build Δ
+0.35
Design Δ
+0.20
Commercial Δ
+0.33
Persona × Seniority
PersonaIndividual ContributorSr PractitionerMgr / Sr MgrDirectorSVP / C-Level
Architect914
Developer1726
Transformation Lead1656
Persona × AI Proficiency
PersonaLearningApplyingIndependentFrontier
Architect51374
Developer1531154
Transformation Lead3962106
Satisfaction by Persona
Developer
+62
Architect
+41
Transformation Lead
+44
Strategic Insights
Team composition: 55% Leaders — partner is investing in strategic/leadership capability
Programme fit: Excellent alignment — 4.2/5 relevance with +0.35 confidence growth; 77% rate content depth as optimal
Team composition: Well-balanced across Developers, Architects, and Leaders — NPS +49 reflects strong multi-functional engagement
Partner stability: Consistent engagement across 24 cohorts — reliability signal for strategic expansions
Feedback log · Deloitte

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 · Deloitte

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

No open action items.