Calculating ROI with CentralAgent
Our ROI calculator estimates direct, measurable engineering savings across four areas:
- Reduced post-implementation rework: fewer unplanned changes after implementation.
- Reduced production bugs: less debugging and remediation effort tied to production issues.
- Reduced time finding context: less time spent searching for answers and waiting on responses.
- Reduced production overhead: less senior-engineer interruption for repetitive support questions.
Recent Benchmark Sources (2024-2025)
We use recent, primary sources with publicly inspectable methodology and data definitions:
- DORA 2025 report defines and reports distributions for rework rate and change failure rate in production delivery.
- DORA 2024 report provides performance-level stability ranges (change failure rates of 5%, 10%, 20%, and 40%), and shows a large elite-to-low stability gap.
- Stack Overflow 2024 (Professional Developers) reports daily time spent searching for answers and daily time spent answering teammates' questions.
- Microsoft Research (Time Warp, 2024) reports debugging at roughly 9% of the actual developer workweek in a 484-developer sample.
Our ROI Formula and Assumptions
We convert external benchmark signals into conservative default multipliers (all tunable):
- Post-implementation rework: 0.040 multiplier (12% baseline rework from DORA's 8-16% middle band, with a 33% reduction assumption).
- Production bugs: 0.027 multiplier (9% debugging share from Microsoft study, with a 30% reduction assumption).
- Time finding context: 0.070 multiplier (Stack Overflow distribution implies ~51.7 minutes/day, converted to ~10.77% annual work time, with 65% recovery).
- Production overhead: 0.024 multiplier (kept from prior model: 20% senior mix, 20% salary premium, 4 hours/week recaptured per senior engineer).
Example: A 200-Person Engineering Organization
Assuming 200 engineers with an average salary of $160,000 (annual payroll: $32,000,000):
- Reduced post-implementation rework
$32,000,000 x 0.040 = $1,280,000/year - Reduced production bugs
$32,000,000 x 0.027 = $864,000/year - Reduced time finding context
$32,000,000 x 0.070 = $2,240,000/year - Reduced production overhead
$32,000,000 x 0.024 = $768,000/year
- Post-implementation rework: $1,280,000/year
- Production bugs: $864,000/year
- Time finding context: $2,240,000/year
- Production overhead: $768,000/year
- Total: ~ $5,152,000/year in recovered engineering capacity
This model intentionally isolates direct labor-capacity recovery. It does not include secondary gains such as faster feature throughput, reduced attrition risk, or improved customer outcomes from fewer incidents.
These assumptions are intentionally conservative and can be tuned per customer baseline. The objective is to provide a transparent, source-backed planning model rather than a black-box estimate.