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=2 D2 · need ≥20
Cohorts attended
3
| 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% |
Capability Profile
Persona mix
Developer 50%Architect 25%T.Lead 25%
AI proficiency
Applying 50%Independent 25%Frontier 25%
Seniority mix
Sr Prac 100%
Content depth
Too basic 25%About right 75%
Pace
Well paced 75%Too fast 25%
Relevance (mean)
4.2 / 5
D1 confidence (mean)
4.7 / 5
Confidence Δ (D1→D2)
n=2 · too few
Confidence growth by domain
Build Δ
n=1 · too few
Design Δ
n=1 · too few
Commercial Δ
n=1 · too few