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FeatureFactory
Free tool

Tech Debt Cost Calculator

Put a dollar figure on a tech debt item - see its cost of delay and how fast a fix pays for itself.

The debt item

Editable estimates. Enter what this debt costs and what fixing it takes.

Result

Worth fixing
Weekly waste
$1,440
~$74,880/year
Cost of delay
$17,280
over 12 weeks
One-time fix cost$4,800
Payback period3.3 weeks
Net over horizon$12,480
This fix pays for itself in 3.3 weeks - well inside your 12-week horizon.

Turning tech debt into a number

Tech debt arguments stall because they stay qualitative - "this slows us down" versus "we have features to ship." The way out is to price it. Multiply the hours each developer loses per week by the number of developers affected and a blended hourly cost, and you get a concrete weekly bleed. Leave it unfixed for a quarter and that becomes a cost of delay you can put in front of anyone deciding where the next sprint goes.

The other half is the fix. A payback period - one-time fix cost divided by the weekly waste it removes - tells you how fast the work earns its keep. When payback lands well inside your horizon, the fix is usually a clear yes; when it stretches past it, the debt may be cheaper to carry. For the delivery side of the same picture, see our cycle time guide and reducing PR review time.

Estimates start the conversation; measured data ends it. Instead of guessing at lost hours, watch where debt actually shows up - rework, slow reviews, flaky pipelines - with engineering metrics, dig into cycle time analytics, or browse the rest of our free tools.

Frequently asked questions

Cost of delay is the money you keep spending while a debt item stays unfixed. Here it is the weekly waste - hours lost per developer times the blended hourly cost times the number of developers affected - multiplied by the number of weeks until you actually fix it. It turns "we should get to that" into a real number.

Measure the debt - don't argue about it

FeatureFactory surfaces where tech debt actually costs you time, so you can prioritise fixes with data instead of gut feel.

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