Unconscious Bias Detection

Problem

• An Oil and gas industry major sought to assess intrinsic biases related to
  gender and age within their organization
• The goal was to generate actionable insights for a mitigation plan

Approach

• Designed and conducted a tailored survey covering multiple functions, career levels, and geographies
• Developed an interactive dashboard to provide a detailed view of biases and suggested interventions

Outcome

• Enabled the client to identify unconscious biases and implement targeted mitigation strategies
• Equipped leadership with tools to foster an inclusive and equitable workplace

Problem

• A major banking client sought to assess bias and pay equity across Canadian, US, and UK operations
• Aimed to enhance pay equity analytics, identify outliers, and address systemic biases
• Focus on gender and racial representation analysis

Approach

• Combined machine learning techniques with human capital expertise for a comprehensive analysis
• Conducted an end-to-end review of compensation and talent development documentation to pinpoint bias

Outcome

• Delivered tools enabling detailed analysis of equity metrics across organizational variables
• Equipped the client to address biases and align with upcoming pay equity regulations
   

Problem

• The client wanted to understand the presence of any unconscious bias in their processes, policies, and communications to design DEI interventions.

Approach

• Deloitte screened 100+ documents (policies, leadership communications) to identify any biased language tone detected in any of them. It also conducted a DIAT assessment for the executive group to identify the presence of intrinsic bias.

Outcome

• As a result of the analysis, a few policy documents were revised with inclusive language and tone, and recommendations were presented to decrease intrinsic bias.