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5 cohorts  ·  0 feedback entries  ·  0 open actions
Programme record · valantic

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

Pooled NPS
too few to report
n=6 D2 · need ≥20
Cohorts attended
5
CohortCityDatesD1 nD2 nNPSProg avgGapP/Pa/D
C6LondonMay 18–19, 202642-100+43-143
P 0%/Pa 0%/D 100%
C9LondonMay 20-21, 202621+0+38-38
P 0%/Pa 100%/D 0%
C14LondonJune 4-5, 202611+100+39+61
P 100%/Pa 0%/D 0%
C16LondonJune 15-16, 202630
C22LondonJuly 20–21, 202642+50+41+9
P 50%/Pa 50%/D 0%
Capability Profile
Persona mix
Developer 29%Architect 50%T.Lead 21%
AI proficiency
Learning 21%Applying 29%Independent 43%Frontier 7%
Seniority mix
Sr Prac 56%Mgr 44%
Content depth
Too basic 14%About right 79%Too advanced 7%
Pace
Well paced 93%Too fast 7%
Relevance (mean)
4.2 / 5
D1 confidence (mean)
4.0 / 5
Confidence Δ (D1→D2)
n=6 · 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
Architect32
Developer1
Transformation Lead12
Persona × AI Proficiency
PersonaLearningApplyingIndependentFrontier
Architect241
Developer211
Transformation Lead111
Feedback log · valantic

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 · valantic

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

No open action items.