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b.telligent

1 cohort  ·  0 feedback entries  ·  0 open actions
Programme record · b.telligent

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
1
CohortCityDatesD1 nD2 nNPSProg avgGapP/Pa/D
C13LondonJune 2-3, 202664+25+40-15
P 25%/Pa 75%/D 0%
Capability Profile
Persona mix
Developer 83%T.Lead 17%
AI proficiency
Applying 67%Independent 33%
Seniority mix
Sr Prac 100%
Content depth
Too basic 17%About right 83%
Pace
Well paced 100%
Relevance (mean)
3.7 / 5
D1 confidence (mean)
3.8 / 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
Feedback log · b.telligent

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 · b.telligent

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

No open action items.