What your documentation gap is actually costing you

You bring the numbers from your own helpdesk and payroll. We bring the assumptions, drawn from published research and labelled with their source. Every figure here is built from facts you already have, not a guess about where your content might land.

Your data · pulled from your own systems Our assumption · sourced, conservative, adjustable
01

Support questions docs could answer

The repetitive “how do I” and “where is this” tickets a good doc set intercepts before they reach an agent.

Your data
Your data
45%
Your data / our default
$
Our assumption
20%

Knowledge-base deflection averages ~23% across the industry; strong self-service reaches 60%+. We default low at 20%.

600/mo × 45% × $22 × 12 = $71,280/yr answerable × 20% deflected
Recoverable / yr
$14,256
02

Engineer time lost to hunting for answers

Time your technical staff spend searching for, or re-deriving, things that should already be written down.

Your data
Your data
$
Our assumption
4%

Research puts total search time at ~25% of the workday (McKinsey) to ~30% (IDC). Most of that isn’t docs-fixable, so we recover only a conservative slice.

12 people × $145,000 × 4%
Recoverable / yr
$69,600
03

New-hire ramp to productive

A structured doc set shortens the unproductive window before a new technical hire is contributing.

Your data
Your data
weeks
Our assumption
12%

A searchable, well-structured knowledge base measurably speeds onboarding for new technical staff. We default to a modest 12%.

5 hires × ($145,000 ÷ 52) × 10 wks × 12%
Recoverable / yr
$16,731