Onboarding Compression Ratio
Onboarding Compression Ratio measures how many hours of ramp time a knowledge system removes per new hire, and it is the cleanest way for an agency to price a knowledge platform against a retainer. A 20-person agency hiring six people a year at 40 hours of ramp each spends 240 hours annually on repeated explanation. A centralized base that cuts ramp to 15 hours returns 150 hours, roughly $9,000 to $15,000 of billable capacity at typical blended rates. The ratio only holds when the base is the single source: Slab's Unified Search pulls answers from Slack, Google, and Asana so new hires stop asking account leads where things live, while Tettra's Kai bot answers repetitive questions in Slack channels before they reach a human. Guru takes the governance angle, auto-verifying content as usage rises so the ramp material does not rot between hires. Track the ratio quarterly; when it falls, the cause is usually sprawl, not headcount.
By InnovaAI ResearchPublished Updated
What is Onboarding Compression Ratio?
“KM investment → onboarding hours saved per hire”
Onboarding Compression Ratio measures how many hours of ramp time a knowledge system removes per new hire, and it is the cleanest way for an agency to price a knowledge platform against a retainer. A 20-person agency hiring six people a year at 40 hours of ramp each spends 240 hours annually on repeated explanation. A centralized base that cuts ramp to 15 hours returns 150 hours, roughly $9,000 to $15,000 of billable capacity at typical blended rates. The ratio only holds when the base is the single source: Slab's Unified Search pulls answers from Slack, Google, and Asana so new hires stop asking account leads where things live, while Tettra's Kai bot answers repetitive questions in Slack channels before they reach a human. Guru takes the governance angle, auto-verifying content as usage rises so the ramp material does not rot between hires. Track the ratio quarterly; when it falls, the cause is usually sprawl, not headcount.