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Slalom

3 cohorts  ·  0 feedback entries  ·  0 open actions
Programme record · Slalom

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
3
CohortCityDatesD1 nD2 nNPSProg avgGapP/Pa/D
C13LondonJune 2-3, 202611+100+40+60
P 100%/Pa 0%/D 0%
C22LondonJuly 20–21, 202631+0+41-41
P 0%/Pa 100%/D 0%
C27LondonJuly 29–30, 202642-50+43-93
P 0%/Pa 50%/D 50%
Capability Profile
Persona mix
Developer 50%Architect 25%T.Lead 25%
AI proficiency
Learning 25%Applying 50%Independent 12%Frontier 12%
Seniority mix
Sr Prac 40%Mgr 60%
Content depth
Too basic 12%About right 88%
Pace
Well paced 100%
Relevance (mean)
3.8 / 5
D1 confidence (mean)
4.2 / 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
Persona × Seniority
PersonaIndividual ContributorSr PractitionerMgr / Sr MgrDirectorSVP / C-Level
Architect11
Developer11
Transformation Lead1
Persona × AI Proficiency
PersonaLearningApplyingIndependentFrontier
Architect11
Developer121
Transformation Lead11
Satisfaction by Persona
Developer
n=2 · too few
Architect
n=1 · too few
Transformation Lead
n=1 · too few
Feedback log · Slalom

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 · Slalom

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

No open action items.