Quantify fixes completed, backlog movement, critical response. Compare closures, reopened issues, labor costs, and trends. Use responsive inputs, exports, formulas, examples, FAQs, and charts.
Use the form below to estimate remediation performance, capacity, cost, and backlog reduction for a cybersecurity operations period.
The chart below shows how backlog changes with new findings, reopened issues, and completed fixes across the selected period.
1) Actionable workload
2) Ending backlog
3) Gross fix rate
4) Daily fix velocity
5) Critical fix rate
6) SLA compliance
7) Backlog burn-down
8) Labor cost and cost per fix
9) Adjusted capacity with automation
10) Weighted severity score
These equations help teams compare closure pace, backlog pressure, severity focus, and effort efficiency in one reporting view.
This sample demonstrates a monthly vulnerability remediation scenario for a security operations team.
| Starting Backlog | New Findings | Fixed Findings | Reopened | Critical Due | Critical Fixed | Fixed Within SLA | Days | Avg Hours/Fix | Hourly Cost | Automation Gain | High Fixed | Medium Fixed | Low Fixed |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 240 | 90 | 130 | 12 | 32 | 28 | 104 | 30 | 2.8 | 55 | 18 | 40 | 58 | 4 |
Tip: press Load Example Data to populate the form instantly with these values.
A fix rate measures how many actionable security findings were closed during a chosen period. It helps teams judge remediation throughput, compare periods, and spot backlog pressure before overdue issues accumulate.
Reopened findings show quality friction. A team may close many tickets, yet weak validation can push issues back into the backlog. Including reopened work makes the reported remediation pace more realistic.
Gross fix rate compares fixes to all actionable work in the period. Backlog burn-down compares the opening backlog to the remaining backlog after changes. One reflects throughput, while the other reflects net progress.
SLA compliance shows how many fixed findings met the promised remediation timeline. High compliance supports risk governance, while low compliance suggests capacity constraints, prioritization problems, or workflow delays.
Automation gain estimates how scripting, orchestration, or better tooling improves daily closure capacity. It helps forecast how fast the remaining backlog may shrink if process improvements are adopted.
The weighted severity score gives more emphasis to critical and high findings than medium or low items. It helps analysts see whether fixes are targeting higher-risk exposure instead of only easy tickets.
Yes. Set the period days to match your reporting window, such as seven days for weekly reporting or thirty days for monthly analysis. Keep all workload counts aligned to the same period.
Warnings appear when inputs conflict, such as fixes exceeding actionable work or SLA fixes exceeding total fixes. They prevent misleading rates and encourage cleaner reporting before decisions are made.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.