Impact Analysis
You're about to change your credit score threshold from 700 to 650. How many more applications will get approved? Will your denial reasons shift? Impact Analysis answers these questions before you deploy anything.
The tool replays real production requests through your modified rule logic and shows you exactly what would change—approval rates, output distributions, everything.
Two Ways to Analyze
Test a specific condition change before committing it:
- Click on any condition cell in your rule table
- Enter the new value you want to test
- Click Run Analysis
The results show how your outputs would shift. If you're lowering a threshold, you'll see exactly how many more requests would match. If you're tightening a condition, you'll see what would get filtered out.
Reading the Results
Results show distribution charts for each output field. The visualization adapts to the data type:
Histogram distributions with before/after comparison. Shows how value distributions shift.
Watch for null shifts—when values suddenly become null, it often means requests stopped matching any row.
Choose your sample size based on what you need: 50-100 requests for quick iteration, 500+ for validation before deploying.
Example: Threshold Optimization
Say you want to approve more loan applications by lowering the credit score requirement from 700 to 650.
- Click the credit score condition cell
- Change it to 650
- Run analysis against the last 500 requests
The results might show:
- Approval rate jumps from 62% to 78%
- Average approved amount drops slightly (riskier applicants qualify for less)
- Denial reason distribution shifts from "low credit" to "high debt ratio"
Now you know exactly what you're signing up for before you ship the change.