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Free Tools / Cost of Shipping a Bug Calculator

Cost of Shipping a Bug Calculator

Enter your ARR, active users, industry, and bug severity. Get a breakdown of engineering, support, churn, and reputation costs for every production bug you ship.

Your production context

Adjust the inputs. Cost updates as you type or drag.

Live Calculation
Rollback possible

Estimated cost of this bug

Total cost
$21,614
Industry multiplier
1x

Broken feature in SaaS, detected after 4 hours. Rollback possible.

Est. churned users
50
Support tickets
150
Engineering cost
$864
Support cost
$3,750
Churn cost
$15,000
Reputation damage
$2,000

Where the money goes

SaaS scales every cost component by 1x versus the SaaS baseline. Engineer rate is $120/hr fully loaded. Support tickets cost $25 each. LTV comes from ARR divided by MAU.

This excludes legal fines, PR spend, and executive time. For regulated industries, actual cost runs higher.

How this works?

How the calculator turns your production context into a dollar cost per bug.

Engineering time to fix

We apply a severity profile to estimate base engineer hours, then adjust for whether a rollback is possible. Hours are priced at a fully-loaded senior engineer rate, not scaled by industry.

Support ticket volume

Each severity level generates a different ticket rate per 10,000 users. We multiply by your MAU and the cost to handle each ticket, scaled by industry multiplier.

Churn and reputation damage

User churn is estimated from the severity churn percentage applied to MAU, valued at your per-user LTV derived from ARR. Reputation damage adds a severity baseline.

Total cost of the bug

Engineering plus support plus churn plus reputation plus outage revenue loss is the total cost. Industry multipliers reflect how sensitive your sector is to each failure type.

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FAQs

It scales the user-facing cost components (support load, churn, reputation) to reflect how much your sector amplifies the impact of a production bug. Fintech (2.5x) and healthcare (3x) face stricter regulation and users with less tolerance for errors. SaaS is the baseline at 1x. Engineering hours are not multiplied since the fix itself takes the same time in any industry.