Programme record · PwC
Quantitative data from post-programme surveys. NPS, participation, and benchmark against programme average across all cohorts attended.
Pooled NPS
+16
39% promoters 23% detractors
n=125 D2
vs Programme
-27
programme avg +43
Cohorts attended
17
| Cohort | City | Dates | D1 n | D2 n | NPS | Prog avg | Gap | P/Pa/D |
|---|---|---|---|---|---|---|---|---|
| C7 | San Francisco | May 19-20, 2026 | 15 | 11 | -45 | +32 | -77 | P 18%/Pa 18%/D 64% |
| C8 | San Francisco | May 21-22, 2026 | 8 | 5 | +0 | +43 | -43 | P 40%/Pa 20%/D 40% |
| C11 | San Francisco | May 26-27, 2026 | 10 | 8 | +62 | +73 | -11 | P 62%/Pa 38%/D 0% |
| C15 | San Francisco | June 16-17 | 13 | 7 | +86 | +55 | +31 | P 86%/Pa 14%/D 0% |
| C18 | San Francisco | June 22–23, 2026 | 16 | 10 | +60 | +35 | +25 | P 60%/Pa 40%/D 0% |
| C19 | San Francisco | June 24–25, 2026 | 16 | 13 | +54 | +55 | -1 | P 62%/Pa 31%/D 8% |
| C20 | San Francisco | July 14–15, 2026 | 10 | 9 | -11 | +35 | -46 | P 22%/Pa 44%/D 33% |
| C21 | San Francisco | July 16–17, 2026 | 12 | 12 | +33 | +24 | +9 | P 42%/Pa 50%/D 8% |
| C22 | London | July 20–21, 2026 | 7 | 2 | +0 | +41 | -41 | P 0%/Pa 100%/D 0% |
| C24 | San Francisco | July 27–28, 2026 | 9 | 5 | +60 | +45 | +15 | P 60%/Pa 40%/D 0% |
| C25 | San Francisco | July 29–30, 2026 | 13 | 9 | +0 | +44 | -44 | P 22%/Pa 56%/D 22% |
| C27 | London | July 29–30, 2026 | 1 | 1 | -100 | +43 | -143 | P 0%/Pa 0%/D 100% |
| C29 | San Francisco | August 24–25, 2026 | 14 | 7 | -71 | +48 | -119 | P 0%/Pa 29%/D 71% |
| C30 | San Francisco | August 27–28, 2026 | 9 | 7 | +29 | +31 | -2 | P 43%/Pa 43%/D 14% |
| C31 | San Francisco | September 9–10, 2026 | 14 | 8 | -38 | +36 | -74 | P 25%/Pa 12%/D 62% |
| C32 | San Francisco | September 15–16, 2026 | 4 | 2 | +50 | +56 | -6 | P 50%/Pa 50%/D 0% |
| C33 | San Francisco | September 17–18, 2026 | 9 | 9 | +11 | +40 | -29 | P 22%/Pa 67%/D 11% |
Capability Profile
Persona mix
Developer 17%Architect 9%T.Lead 74%
AI proficiency
Learning 19%Applying 62%Independent 11%Frontier 8%
Seniority mix
Sr Prac 39%Mgr 61%
Content depth
Too basic 12%About right 62%Too advanced 26%
Pace
Too slow 5%Well paced 77%Too fast 18%
Relevance (mean)
3.7 / 5
D1 confidence (mean)
3.5 / 5
Confidence Δ (D1→D2)
+0.39
Confidence growth by domain
Build Δ
+0.39
Design Δ
+0.27
Commercial Δ
+0.42
Persona × Seniority
| Persona | Individual Contributor | Sr Practitioner | Mgr / Sr Mgr | Director | SVP / C-Level |
|---|---|---|---|---|---|
| Architect | — | 2 | 7 | — | — |
| Developer | — | 9 | 7 | — | — |
| Transformation Lead | — | 22 | 37 | — | — |
Persona × AI Proficiency
| Persona | Learning | Applying | Independent | Frontier |
|---|---|---|---|---|
| Architect | 1 | 6 | 5 | 4 |
| Developer | 1 | 18 | 5 | 7 |
| Transformation Lead | 33 | 87 | 9 | 4 |
Satisfaction by Persona
Developer
n=19 · too few
Architect
n=12 · too few
Transformation Lead
+12
Strategic Insights
Content accessibility: 26% found content too advanced — build more foundational content pathway
Team composition: 74% Leaders — partner is investing in strategic/leadership capability