How to Model Scenarios for Capacity Planning with Sigma Agents (Demo)

Sales and finance teams building capacity plans usually work in static spreadsheets that break the moment an assumption changes. This demo shows a capacity planning application built in Sigma where every input, from rep ramp times to regional hiring dates, recalculates live across summary, region, and quarterly views, with changes written directly back to the warehouse. Ryan Mattel, Solution Engineer at Sigma, walks through a capacity planning application that lets go-to-market teams model hiring scenarios, adjust targets, and compare outcomes without rebuilding a spreadsheet. The walkthrough covers: - Adjusting rep ramp times, quotas, and hiring dates through input controls that update all downstream views automatically - Editing hiring plans directly in a table, with changes written back to the warehouse via Sigma's writeback capability - Using a Sigma Agent to model a specific scenario: adding 2 AE majors in EMEA and comparing capacity against the baseline - Watching the agent check baseline values, apply the new hires, recheck the data, and return a before-and-after capacity summary Learn more about Sigma Agents: https://www.sigmacomputing.com/blog/introducing-sigma-agents?utm_medium=organic-social&utm_source=youtube&utm_campaign=capacity-planning&utm_content=capacity-planning&utm_term=capacity-planning-youtube Input Tables documentation: https://help.sigmacomputing.com/docs/intro-to-input-tables?utm_medium=organic-social&utm_source=youtube&utm_campaign=capacity-planning&utm_content=capacity-planning&utm_term=capacity-planning-youtube Request a demo: https://www.sigmacomputing.com/go/request-a-demo?utm_medium=organic-social&utm_source=youtube&utm_campaign=request-a-demo&utm_content=youtube&utm_term=request-a-demo-youtube #Sigma #SigmaAgents #CapacityPlanning #SalesOperations #AIAgents #Analytics