The Role of Clearer Language and Better Systems

Moving beyond individual responsibility

If system bias and miscommunication can arise from ordinary working conditions, then the solution is not simply to tell individuals to “try harder”. Clarus argues for improvements at the level of language, workflow, structure, and organisational design.

Managing information flow

One key recommendation is to analyse, design, and manage information flow across the digital forensic lifecycle more deliberately.

This means being clearer about:

• what information is needed
• who needs it
• when they need it
• what should not be passed on because it is task-irrelevant or unnecessarily biasing

Clarus also recommends keeping the benefits of informal communication while controlling the risks.

Informal exchanges should not disappear, because they are often essential for coordination and clarification. But where they contain important interpretive or task-shaping information, they should become more traceable so that later review and organisational learning are possible.

Creating a shared language

Language standardisation is another major area for reform. Shared terminology helps reduce the risk that one group thinks a term means one thing while another group understands it differently.

This is not only about glossaries. It is also about supporting shared conceptual understanding across professional groups and improving how technical findings are communicated to non-specialists without losing necessary nuance.

Clarus also highlights the value of:

• stronger feedback routines
• clearer reporting of uncertainty and limitations
• structures that support reflection rather than overconfidence.

How can the Clarus tools help?

The Clarus tools have been designed to support these goals.

The Multi-Lingual Lexicon for Digital Forensics promotes a shared understanding of key concepts and terminology, while the Clarus Clarity Checker helps users identify areas where written communication could be made clearer.

However, tools alone cannot reduce bias. To be effective, they need to be embedded within existing workflows and organisational practices so that they are used consistently and systematically as part of everyday professional decision-making.

Clearer language and better systems work together

From a systems point of view, this is a more productive way of managing bias.

When biases are treated only as individual cognitive shortcomings, little attention is paid to the organisational conditions that allow them to arise. A systemic framework, by contrast, supports the design of structures and workflows that are better able to:

• prevent bias
• detect bias
• mitigate bias
• correct bias

In that sense, clearer language and better systems are not separate ideas. They work together.