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Fractal Analytics

7 cohorts  ·  0 feedback entries  ·  0 open actions
Programme record · Fractal Analytics

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

Pooled NPS
too few to report
n=10 D2 · need ≥20
Cohorts attended
7
CohortCityDatesD1 nD2 nNPSProg avgGapP/Pa/D
C8San FranciscoMay 21-22, 202643+67+43+24
P 67%/Pa 33%/D 0%
C15San FranciscoJune 16-1722+100+55+45
P 100%/Pa 0%/D 0%
C16LondonJune 15-16, 202641+100+17+83
P 100%/Pa 0%/D 0%
C19San FranciscoJune 24–25, 202621+100+55+45
P 100%/Pa 0%/D 0%
C21San FranciscoJuly 16–17, 202622+50+24+26
P 50%/Pa 50%/D 0%
C24San FranciscoJuly 27–28, 202610
C31San FranciscoSeptember 9–10, 202621-100+36-136
P 0%/Pa 0%/D 100%
Capability Profile
Persona mix
Developer 47%Architect 29%T.Lead 24%
AI proficiency
Learning 24%Applying 47%Independent 24%Frontier 6%
Seniority mix
Sr Prac 70%Mgr 30%
Content depth
Too basic 12%About right 88%
Pace
Too slow 6%Well paced 94%
Relevance (mean)
4.2 / 5
D1 confidence (mean)
3.9 / 5
Confidence Δ (D1→D2)
n=10 · too few
Confidence growth by domain
Build Δ
n=10 · too few
Design Δ
n=10 · too few
Commercial Δ
n=10 · too few
Persona × Seniority
PersonaIndividual ContributorSr PractitionerMgr / Sr MgrDirectorSVP / C-Level
Architect21
Developer5
Transformation Lead2
Persona × AI Proficiency
PersonaLearningApplyingIndependentFrontier
Architect311
Developer1421
Transformation Lead31
Satisfaction by Persona
Developer
n=5 · too few
Architect
n=3 · too few
Transformation Lead
n=2 · too few
Feedback log · Fractal Analytics

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 · Fractal Analytics

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

No open action items.