Skip to main content
This guide shows how to build eligibility rules that evaluate applicants against multiple criteria and route them through approval workflows.

​
What you’ll build

An eligibility decision that:
  • Evaluates applicants against qualification criteria
  • Handles multiple approval paths (auto-approve, manual review, deny)
  • Provides clear reasons for decisions
  • Supports tiered approval thresholds
Want to skip ahead? Download the completed decision and import it directly.

​
Decision flow

​
Example: Loan pre-qualification

​
Input data

{
  "applicant": {
    "age": 32,
    "income": 75000,
    "employmentYears": 4,
    "creditScore": 720
  },
  "loan": {
    "amount": 25000,
    "purpose": "home_improvement"
  }
}

​
Step 1: Basic eligibility checks

First, check hard requirements that must be met:
Inputs
Outputs

​
Step 2: Credit assessment

Evaluate credit score bands:
Inputs
Outputs

​
Step 3: Calculate loan capacity

Use an expression to determine maximum loan amount:

​
Step 4: Determine approval path

Route to different outcomes based on risk:
Inputs
Outputs

​
Output structure

{
  "decision": "approved",
  "nextStep": "verification",
  "approvedAmount": 25000,
  "creditTier": "good",
  "reasons": ["Meets basic requirements", "Good credit standing"]
}

​
Example: Benefits eligibility

​
Household income check

Inputs
Outputs

​
Example: Access control

​
Feature access by subscription

Inputs
Outputs

​
Best practices

Fail fast — Put disqualifying checks first to exit early. Provide reasons — Always output why a decision was made. Handle edge cases — Include catch-all rows for unexpected inputs. Version your rules — Track changes when eligibility criteria update.