Kompetenzlückenanalyse

Erkennen Sie, welche Kompetenzen vorhanden sind, welche fehlen und wer die Lücke schließen kann – so wird aus „Wir brauchen mehr KI-Skills“ eine klare Antwort auf wo, wie viel und wer.

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Skill Gap Analysis / Insights team Q3 benchmark

ExportClose Gaps

Capability matrix

Current vs required
PersonSQLExperiment designData storytellingPythonForecastingStakeholder commsDashboardingFit

Marcus Hale

Data Analyst II

322312443%

Rachel Kim

Product Manager

234124371%

Alicia Grant

CS Lead

123124243%

Devon Brooks

Eng Manager

432423371%

Priya Raman

Account Exec

113124243%

Nathan Ortiz

Support Specialist

21211320%

Sarah Miller

Sr. Product Designer

234114357%

Required

3333243bar
At or above barOne level shortCritical gapLevels 1–4 · scored from Xobin skill assessments

Team fit

61%

vs 78% target

Critical gaps

9

across 7 skills

Ready now

2

meet full bar

Gap ranking

Team average

Forecasting

-1.3

Largest gap · 5 of 7 below bar

Python

-1.1

Concentrated in Insights team

Experiment design

-0.6

Improving since Q2

SQL

-0.9

Two people at expert level

Closing plan

Auto-built

Forecasting lab

5 people · 3 weeks

SQL intensive

4 people · 2 weeks

Experiment clinic

3 people · 4 weeks

Hire senior analyst

1 open req

Closing the forecasting and SQL gaps moves team fit from 61% to 79% by December.

Re-assess automatically after each program →

Beispielhafte Vorschau · Beispieldaten, keine Leistungsbenchmarks