Using Custom IRO Score Methodology in your Double Materiality Assessment

[Double Materiality module]

Datamaran’s Double Materiality module supports Custom IRO Score Methodology, allowing analysis owners to define their own formulas to calculate IRO scores. This functionality is especially useful for organizations who already apply custom logic in external double materiality assessments and want to replicate that same methodology directly within Datamaran.

This feature enables analysis owners to define custom formulas for calculating IRO (Impact, Risk, and Opportunity) scores based on selected criteria and preferred scoring logic. It replaces the platform’s default scoring with a tailored calculation defined by the user. This helps maintain internal consistency by replicating internal methodologies and thresholds within Datamaran. It supports custom scoring scales, logic, and materiality thresholds, ensuring alignment with internal and regulatory expectations.

How to configure a Custom IRO Score Methodology

1. Access the IRO Hub

Navigate to the IRO Hub from the left-hand side menu of the Double Materiality module.

2. Select Custom IRO Metholodogy in the vertical three-dots icon

Screenshot 2025-04-23 at 09.49.30

3. Define your formula

Select the criteria you want to include in your scoring formula (e.g., Magnitude, Likelihood, Severity, Scope).

  • Use supported operators such as: +, -, *, /, AVERAGE, MIN, MAX.
  • Input different formulas for each IRO type (7 total), including: risk, opportunity, positive impact, negative impact, Human Rights-specific combinations.

Screenshot 2025-04-23 at 09.49.42

4. Set your score scale and thresholds

Input custom materiality thresholds based on the custom score calculations —these are no longer limited to platform defaults

How it works

  • Once a formula is saved, the system automatically recalculates all IRO scores in the selected version. The platform’s default scoring is disabled for that version.
  • Custom formulas persist across the version and are automatically copied to any new version.
  • Scores will only appear once all required criteria are filled (e.g., Likelihood, Scale, Scope).