How to generate a first iteration of your materiality matrix.

In this article, you will learn how to perform the first iteration of your matrix, analyze the results and make the necessary adjustments to the source weights.

It allows you to prioritize the issues and to adjust the weight of the different sources to refine the results, depending on the importance you’ve given to each source in your definition of material topics.

Once the data from the internal and external views are compiled, the Materiality tool aggregates the underlying topics for a first iteration of the materiality matrix. Default weights have been assigned to each source based on the availability and granularity of the data, but you can customize these weights based on the importance of each source in the definition of material topics for your company. The adjustment will apply to the scores retrieved for each source and generate a new iteration of your matrix.

To generate the first iteration of your matrix:

  1. Go to the Materiality Module.
  2. Go to your analysis.
  3. Go to the table below the materiality matrix chart and edit the weights of each source directly in the boxes at the top of each column.
  4. Once you have made your adjustments click on the “Update analysis” button to generate a new iteration of the matrix with the adjusted weights.
  5. To adjust the weights, we recommend taking into consideration:
      • The impact of each issue in your company
      • The representation of the stakeholders
      • The granularity of the data.

We also advise you to carry out two different checks in the results given by the first iteration.

  1. Level of importance of each topic:
      • Identify the topics that have a noticeably high or low score.
      • Look at the distribution of the scores across the sources and identify the source influencing the overall score the most. 
      • If this source is not as important for you as the others, consider reducing its weight.
  2. Distribution of the score:
      • Check if the distribution of the scores is similar across the sources.
      • If you identify that only some sources are driving the results, make sure these sources represent stakeholders that are important to you.
      • If not,  consider reducing their weight.