Estimate the annual cost of outages by combining lost employee productivity and revenue impact per hour.
Quick answer: This it downtime cost calculator helps buyers estimate the operational impact, savings potential, or first-year return behind a software decision before vendor pricing and sales narratives frame the business case for them.
Use it to pressure-test assumptions, compare scenarios, and build a more grounded business case before shortlist conversations drift into abstract vendor claims.
Live calculator
Example scenario
A mid-sized IT team sees about six notable outages per year, each lasting around 90 minutes, with 65 employees disrupted and meaningful client work delayed.
Teams often talk about uptime in technical terms but struggle to explain what an hour of downtime really costs the business.
This calculator helps justify monitoring, alerting, redundancy, and incident response investment before the next outage becomes the business case.
It also gives procurement and leadership a common number to use when comparing monitoring tools against status quo risk.
Use this when your team is evaluating network monitoring, observability, or incident-response improvements and needs a simple business-impact estimate.
The model is intentionally practical rather than finance-perfect. It combines direct labor disruption and revenue exposure because those are the two numbers buyers can usually estimate fastest.
Annual downtime hours = incidents per year × average hours per incident
Annual productivity loss = annual downtime hours × affected employees × average hourly employee cost
Annual revenue loss = annual downtime hours × revenue impact per hour
Annual downtime cost = productivity loss + revenue loss
The inputs stay intentionally practical so teams can use the calculator early in the buying process and refine the assumptions later if needed.
How many notable outages or service interruptions happen in a year.
Default starting value: 6
Average business-impacting duration for each outage.
Default starting value: 1.5 hrs
Rough number of employees whose work is disrupted during the outage.
Default starting value: 65
Blended hourly cost for employees affected by the outage.
Default starting value: 45 $
Estimated revenue or customer impact per hour of downtime.
Default starting value: 3500 $
Use these next if you want to pressure-test adjacent parts of the business case instead of relying on one number alone.
Estimate monitoring ROI from downtime avoided and faster troubleshooting.
Estimate the first-year return from patch automation by combining labor savings and avoided incident exposure.
Usually yes. Labor disruption shows the internal productivity hit while revenue impact reflects customer-facing or billable work loss. Using both creates a more defensible planning number.
No. It is a decision-support estimate meant to help buyers size the problem and compare monitoring or resilience investment against a realistic operational baseline.
