Skill Gap Analysis

See which skills you have, which you need and who can close the gap, turning “We need more AI skills” into clear answers about where, how much and who.

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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 →

Illustrative preview · sample data, not performance benchmarks