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McKinsey

4 cohorts  ·  0 feedback entries  ·  0 open actions
Programme record · McKinsey

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

Pooled NPS
too few to report
n=15 D2 · need ≥20
Cohorts attended
4
CohortCityDatesD1 nD2 nNPSProg avgGapP/Pa/D
C15San FranciscoJune 16-1772-100+55-155
P 0%/Pa 0%/D 100%
C18San FranciscoJune 22–23, 202673+0+35-35
P 33%/Pa 33%/D 33%
C19San FranciscoJune 24–25, 202698+38+55-17
P 62%/Pa 12%/D 25%
C20San FranciscoJuly 14–15, 202622+50+35+15
P 50%/Pa 50%/D 0%
Capability Profile
Persona mix
Developer 48%Architect 12%T.Lead 40%
AI proficiency
Learning 4%Applying 48%Independent 40%Frontier 8%
Seniority mix
Sr Prac 67%Mgr 33%
Content depth
Too basic 36%About right 60%Too advanced 4%
Pace
Too slow 20%Well paced 76%Too fast 4%
Relevance (mean)
3.8 / 5
D1 confidence (mean)
3.9 / 5
Confidence Δ (D1→D2)
n=15 · too few
Confidence growth by domain
Build Δ
n=2 · too few
Design Δ
n=2 · too few
Commercial Δ
n=2 · too few
Persona × Seniority
PersonaIndividual ContributorSr PractitionerMgr / Sr MgrDirectorSVP / C-Level
Architect11
Developer81
Transformation Lead13
Persona × AI Proficiency
PersonaLearningApplyingIndependentFrontier
Architect3
Developer1632
Transformation Lead64
Satisfaction by Persona
Developer
n=4 · too few
Strategic Insights
Content depth: 36% found content too basic — increase technical depth or specialization in next programme
Feedback log · McKinsey

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 · McKinsey

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

No open action items.