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Lovelytics

7 cohorts  ·  0 feedback entries  ·  0 open actions
Programme record · Lovelytics

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
7
CohortCityDatesD1 nD2 nNPSProg avgGapP/Pa/D
C8San FranciscoMay 21-22, 202630
C8San FranciscoMay 20-21, 202630
C15San FranciscoJune 16-1721+0+55-55
P 0%/Pa 100%/D 0%
C18San FranciscoJune 22–23, 202632+100+35+65
P 100%/Pa 0%/D 0%
C19San FranciscoJune 24–25, 202610
C20San FranciscoJuly 14–15, 202622+0+35-35
P 0%/Pa 100%/D 0%
C21San FranciscoJuly 16–17, 202611+100+24+76
P 100%/Pa 0%/D 0%
Capability Profile
Persona mix
Developer 7%Architect 40%T.Lead 53%
AI proficiency
Learning 27%Applying 40%Independent 27%Frontier 7%
Seniority mix
Sr Prac 57%Mgr 43%
Content depth
Too basic 8%About right 75%Too advanced 17%
Pace
Well paced 92%Too fast 8%
Relevance (mean)
4.2 / 5
D1 confidence (mean)
3.8 / 5
Confidence Δ (D1→D2)
n=6 · too few
Confidence growth by domain
Build Δ
n=1 · too few
Design Δ
n=1 · too few
Commercial Δ
n=1 · too few
Persona × Seniority
PersonaIndividual ContributorSr PractitionerMgr / Sr MgrDirectorSVP / C-Level
Architect21
Developer1
Transformation Lead1
Persona × AI Proficiency
PersonaLearningApplyingIndependentFrontier
Architect113
Developer1
Transformation Lead231
Feedback log · Lovelytics

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 · Lovelytics

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

No open action items.