ROI Calculator

An ROI calculator for bug fixing estimates the dollar value your team recovers when every bug arrives as a complete, agent-ready report instead of a half-described ticket. It combines two value engines — engineering efficiency and support deflection — into a monthly figure, a net gain after tool cost, and an ROI multiple you can defend in a budget conversation.

This ROI Calculator models the time engineers and AI coding agents lose reconstructing a bug before they can fix it: assembling context, reproducing the issue, and re-prompting the agent. Founders and engineering leaders use it to size the cost of slow bug-fixing today and to compare it against the price of a tool that captures screenshots, console logs, network requests, and environment in one click.

How the math works

The calculator runs a conservative, transparent model. Engineering value comes from the hours saved across every bug your team ships:

bugs_per_month  = developers × bugs_per_dev_per_week × 4.33
eng_hours_saved = bugs_per_month × minutes_saved_per_bug ÷ 60
eng_value       = eng_hours_saved × loaded_hourly_cost

If your product has end users, support deflection adds a second engine for the time saved triaging and reproducing user-reported bugs:

tickets_per_month = support_tickets_per_week × 4.33
support_value     = tickets_per_month × minutes_saved_per_ticket ÷ 60 × support_hourly_cost

The totals tie it together:

total_value = eng_value + support_value
net_gain    = total_value − plan_cost
ROI         = total_value ÷ plan_cost
payback     = plan_cost ÷ (minutes_saved_per_bug ÷ 60 × loaded_hourly_cost)

Default inputs

The defaults are deliberately conservative — the floor of the model, not the ceiling.

• Developers: 6 — a small active team.
• Bugs per dev per week: 4 — modest for a team shipping regularly.
• Minutes saved per bug: 25 — context assembly, reproduction, and back-and-forth.
• Loaded dev cost: $100/hr — roughly a $120k salary with overhead.
• Minutes saved per support ticket: 15 — triage and reproduction.
• Support cost: $45/hr — used only when support deflection is enabled.

How to use the ROI calculator

1. Enter your number of developers and bugs per dev per week.
2. Adjust minutes saved per bug and loaded dev cost to match your team, or keep the conservative defaults.
3. Optionally expand Add support deflection to include user-reported bugs.
4. Pick the ShotMark plan closest to your team size.
5. Read the results: total value per month, net gain, ROI multiple, payback, and annual value, with the engineering and support breakdown.

Why the math holds up

The result is dominated by labor, not software. Cut every assumption by 80% and a 44× ROI is still roughly 8×, and the tool still pays for itself in the first week. Engineering and support time is so much more expensive than the price of the tool that the math is hard to break — which is exactly why the defaults stay conservative.

Frequently asked questions

How do you calculate the ROI of faster bug fixing?

Multiply the bugs your team handles each month by the time saved per bug and your loaded hourly cost to get engineering value. Add support deflection if you have end users, subtract the tool cost, and divide total value by tool cost for the ROI multiple.

What does “agent-ready” bug capture mean?

Each report includes the screenshot, console logs, network requests, and environment, formatted so an engineer or an AI coding agent can act on it without first reconstructing the problem. That reconstruction time is what the calculator values.

Are these numbers realistic?

They are deliberately conservative. The defaults sit at the floor of what active teams report. The model is designed so that even after cutting every assumption by 80%, the return still clears several times the cost.

What counts as “minutes saved per bug”?

The time engineers spend assembling context, reproducing the issue, going back and forth with the reporter, and re-prompting an AI agent before any fixing begins.

Related tools

• Bug Severity Calculator: Score a bug’s severity with a weighted model for triage.
• HAR Viewer: Open and inspect HTTP Archive files captured from DevTools.
• User-Agent Parser: Decode any user agent string into browser, OS, and engine.