{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/b9bb84616cf74bd5a6bb018e7f83270b\" frameborder=\"0\" width=\"1760\" height=\"1320\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1320,"width":1760,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1320,"thumbnail_width":1760,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/b9bb84616cf74bd5a6bb018e7f83270b-65c00cdcc9c360f3.gif","duration":382.201,"title":"Understanding the MuchSkills Demand Report","description":"This Loom explains how to use the MuchSkills Demand Report to understand skill shortages and surpluses across projects. It shows the list ordered by most demand, noting Python has demand 46 across 22 employees, creating a critical shortage, with data modeling at 20 demand and data architecture showing a talent surplus. Drilling into Python reveals a gap of 24 people by comparing required versus available capacity across levels such as Expert, Intermediate, and Beginner, and it suggests hiring need such as at least four new Python experts. It also demonstrates how skill gaps appear when assigned team members do not meet the required skill level and how requirements can be generated for synced products from systems like Jira, Tempo, and Workday."}