Modifying decision settings

Lenders do not approve every loan application the same way. The criteria used to approve or decline a borrower often change based on risk appetite, market conditions, or product strategy.

For example, a lender may tighten credit checks during periods of high default rates or relax certain rules to increase loan volume during a growth phase.

On Lendsqr, these decisions are controlled through your decision settings. These settings define the rules and checks that determine whether a borrower is approved, declined, or flagged for further review.

What do decision settings mean in lending?

Decision settings are the rules that guide how loan applications are evaluated.

They define what conditions a borrower must meet before a loan can be approved. These conditions may include:

  • Identity verification checks
  • Credit score thresholds
  • Income or affordability requirements
  • Fraud detection signals
  • Internal behavioral scoring

Instead of reviewing every application manually, lenders rely on these rules to automate decisions and maintain consistency.

You can learn more about how decision models work here:
Adding a custom scoring module to your decision model

Why lenders adjust decision settings

Decision settings are not fixed. They are adjusted over time to reflect real lending performance and strategy.

Common reasons for modifying decision settings include:

  • Reducing default rates
  • Increasing approval rates
  • Testing new credit policies
  • Responding to fraud patterns
  • Adjusting to economic conditions

Example scenario

A lender notices that borrowers with low income stability are defaulting more frequently. To reduce risk, they update their decision settings to require stricter income verification and introduce an additional affordability check.

As a result, fewer high-risk borrowers are approved, and overall loan performance improves.

This shows how small changes in decision settings can directly affect lending outcomes.

How decision settings affect loan approvals

Every loan application passes through the configured decision rules before a final outcome is reached.

When you modify these settings, you change:

  • Who qualifies for a loan
  • Which applications are flagged for review
  • How strict or flexible your approval process is
  • The balance between growth and risk

For example:

  • Increasing credit score thresholds reduces approvals but improves portfolio quality
  • Removing a check may increase approvals but introduce higher risk
  • Adding fraud detection modules may slow approvals but prevent losses

Understanding this balance is important before making any changes.

When to modify decision settings

You should consider updating decision settings when:

  • Default rates increase beyond acceptable levels
  • Approval rates are too low or too high
  • New data sources become available
  • Fraud patterns evolve
  • New loan products require different evaluation criteria

Decision settings should reflect your current lending strategy, not just your initial setup.

How to modify decision settings on Lendsqr

Follow these steps to update your decision rules:

  • Navigate to the “Credit Risk Rules” sub-tab under the “Product Management” tab in the Back Office section.
  • On the existing model of your choice, click on the options button (represented by the 3-dots) and select “Edit”.
  • In the decision-setting segment, change the desired fields (for instance, you can change the  setting required to false for the whitelist, as this will bypass the whitelist check)
  • You can also change the sequence of a setting (e.g., changing the ecosystem sequence to 2), making it the second check in the sequence.
  • Then click on “Save Changes” to proceed.
Modifying decision settings
Modifying decision settings

What happens after you modify decision settings

Changes to decision settings take effect immediately for new applications.

This means:

  • New borrowers will be evaluated using the updated rules
  • Existing applications may not be affected unless reprocessed
  • Approval outcomes may change based on the new criteria

For example, if you increase your minimum income requirement, some borrowers who previously qualified may now be declined.

Risks and considerations when modifying decision rules

Changing decision settings can significantly impact your lending performance.

1. Over-tightening rules

If rules become too strict, approval rates may drop sharply, reducing loan volume and revenue.

2. Over-relaxing rules

If rules are too lenient, more borrowers may be approved, but default rates may increase.

3. Unintended rule conflicts

Changes in one module may affect how other modules behave, leading to unexpected outcomes.

4. Lack of testing

Applying changes without testing can introduce errors or misclassify borrowers.

Best practices for adjusting decision settings

To manage decision settings effectively:

  • Test changes before full rollout
  • Track approval and default rates after updates
  • Adjust one variable at a time
  • Align rules with your credit policy
  • Review performance regularly

For example, if you add a fraud check, monitor flagged applications and confirm whether they match real fraud cases.

How decision settings fit into your lending strategy

Decision settings sit at the core of your lending operations.

They determine:

  • Your risk tolerance
  • Which customers qualify
  • The quality of your loan portfolio
  • How efficiently your team operates

Strong decision rules allow you to scale lending without losing control of risk.

You can also see how decisions reflect in transactions here:
Viewing and understanding loan transactions on Lendsqr

Decision settings give you direct control over how your system evaluates loan applications. By adjusting these rules, you can respond to risk trends, improve loan performance, and align approvals with your business goals.

With Lendsqr, you can update decision settings inside your decision models without rebuilding your entire workflow.

Read further: Adding a custom scoring module to your decision model | How loan penalty charges work and when to use each type

External resource: Learn more about credit risk management and lending strategies on the Lendsqr blog

Also read: What is a whitelist on Lendsqr

Also read: Why Lendsqr is Africa’s most affordable loan management software

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