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2 cohorts  ·  0 feedback entries  ·  0 open actions
Programme record · Reply

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

Pooled NPS
too few to report
n=8 D2 · need ≥20
Cohorts attended
2
CohortCityDatesD1 nD2 nNPSProg avgGapP/Pa/D
C6LondonMay 18–19, 202686+50+43+7
P 50%/Pa 50%/D 0%
C22LondonJuly 20–21, 202622+0+41-41
P 0%/Pa 100%/D 0%
Capability Profile
Persona mix
Developer 70%T.Lead 30%
AI proficiency
Applying 80%Independent 20%
Seniority mix
Sr Prac 43%Mgr 57%
Content depth
Too basic 30%About right 70%
Pace
Well paced 80%Too fast 20%
Relevance (mean)
4.1 / 5
D1 confidence (mean)
3.8 / 5
Confidence Δ (D1→D2)
n=8 · 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
Developer31
Transformation Lead3
Persona × AI Proficiency
PersonaLearningApplyingIndependentFrontier
Developer61
Transformation Lead21
Satisfaction by Persona
Developer
n=5 · too few
Feedback log · Reply

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 · Reply

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

No open action items.