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IBM

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

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

Pooled NPS
too few to report
n=2 D2 · need ≥20
Cohorts attended
3
CohortCityDatesD1 nD2 nNPSProg avgGapP/Pa/D
C24San FranciscoJuly 27–28, 202610
C25San FranciscoJuly 29–30, 202611+100+44+56
P 100%/Pa 0%/D 0%
C27LondonJuly 29–30, 202611+100+43+57
P 100%/Pa 0%/D 0%
Capability Profile
Persona mix
Developer 33%Architect 33%T.Lead 33%
AI proficiency
Applying 33%Independent 33%Frontier 33%
Seniority mix
Sr Prac 100%
Content depth
Too basic 33%About right 67%
Pace
Well paced 100%
Relevance (mean)
4.0 / 5
D1 confidence (mean)
5.0 / 5
Confidence Δ (D1→D2)
n=2 · too few
Confidence growth by domain
Build Δ
n=2 · too few
Design Δ
n=2 · too few
Commercial Δ
n=2 · too few
Satisfaction by Persona
Developer
n=1 · too few
Transformation Lead
n=1 · too few
Strategic Insights
Advanced readiness: 33% at Frontier level — partner is ready for complex implementation engagements
Feedback log · IBM

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 · IBM

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

No open action items.