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Provectus

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

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
C30San FranciscoAugust 27–28, 202633+33+31+2
P 33%/Pa 67%/D 0%
C32San FranciscoSeptember 15–16, 202655+40+56-16
P 40%/Pa 60%/D 0%
Capability Profile
Persona mix
Developer 88%Architect 12%
AI proficiency
Applying 38%Independent 25%Frontier 38%
Seniority mix
Sr Prac 80%Mgr 20%
Content depth
Too basic 12%About right 88%
Pace
Well paced 100%
Relevance (mean)
4.3 / 5
D1 confidence (mean)
4.3 / 5
Confidence Δ (D1→D2)
n=8 · too few
Confidence growth by domain
Build Δ
n=8 · too few
Design Δ
n=8 · too few
Commercial Δ
n=8 · too few
Persona × Seniority
PersonaIndividual ContributorSr PractitionerMgr / Sr MgrDirectorSVP / C-Level
Architect1
Developer31
Persona × AI Proficiency
PersonaLearningApplyingIndependentFrontier
Architect1
Developer313
Satisfaction by Persona
Developer
n=7 · too few
Architect
n=1 · too few
Strategic Insights
Advanced readiness: 38% at Frontier level — partner is ready for complex implementation engagements
Feedback log · Provectus

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 · Provectus

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

No open action items.