Programme record · IndiciumAI
Quantitative data from post-programme surveys. NPS, participation, and benchmark against programme average across all cohorts attended.
Pooled NPS
too few to report
n=4 D2 · need ≥20
Cohorts attended
4
| Cohort | City | Dates | D1 n | D2 n | NPS | Prog avg | Gap | P/Pa/D |
|---|---|---|---|---|---|---|---|---|
| C6 | London | May 18–19, 2026 | 1 | 1 | +100 | +43 | +57 | P 100%/Pa 0%/D 0% |
| C16 | London | June 15-16, 2026 | 1 | 0 | — | — | — | |
| C22 | London | July 20–21, 2026 | 2 | 1 | +0 | +41 | -41 | P 0%/Pa 100%/D 0% |
| C27 | London | July 29–30, 2026 | 2 | 2 | +50 | +43 | +7 | P 50%/Pa 50%/D 0% |
Capability Profile
Persona mix
Developer 67%Architect 17%T.Lead 17%
AI proficiency
Applying 50%Independent 33%Frontier 17%
Seniority mix
Sr Prac 67%Mgr 33%
Content depth
Too basic 33%About right 67%
Pace
Well paced 83%Too fast 17%
Relevance (mean)
4.2 / 5
D1 confidence (mean)
4.6 / 5
Confidence Δ (D1→D2)
n=4 · too few
Confidence growth by domain
Build Δ
n=4 · too few
Design Δ
n=4 · too few
Commercial Δ
n=4 · too few
Satisfaction by Persona
Developer
n=3 · too few
Architect
n=1 · too few