Evidence-Based Workplace Assessment

Workplace Bias
Awareness Screener

A comprehensive psychometric assessment covering seven protected characteristic axes. Measures attribution style, semantic prototype bias, modern subtle bias, and norm assumptions , with adaptive follow-up scenarios that confirm patterns before reporting them.

144 items35–45 minutes7 bias axesPersonalised training plan

Grounded in McConahay (1986), Swim et al. (1995), Nario-Redondo et al. (2010), Ross (1977), Pettigrew (1979), and Jost et al. (2004).

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Individual access

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Assessment Structure

Five modules. Seven axes.

Each module measures a distinct construct with its own evidence base. Results are combined into a composite score per axis, with adaptive items that confirm patterns before they are reported.

Semantic Prototype Analysis

28 free-text definitions of workplace concepts scored by AI against validated bias rubrics. Captures your actual working definitions, not socially acceptable answers.

Attribution Style Scenarios

32 matched workplace scenarios measuring whether you explain identical behaviour differently depending on who displays it. Based on Ross (1977) and Pettigrew (1979).

Modern / Subtle Bias Scales

42 items adapted from McConahay (1986), Swim et al. (1995), Nario-Redondo et al. (2010), and Morrison & Morrison (2002). Measures contemporary prejudice expression.

Norm Assumption Inventory

28 items measuring assumptions about what constitutes professional, competent, or appropriate workplace behaviour. Grounded in Tajfel & Turner (1979) and Jost et al. (2004).

Adaptive Follow-Up Logic

If your responses flag a bias pattern on any axis, a matched scenario fires automatically to confirm or rule out the pattern before it is reported.

Coverage

Seven protected characteristic axes

Gender

Examines prototype bias in leadership and communication, attribution differences across gender, and modern sexism patterns.

Race / Ethnicity

Measures definitional bias in professional standards, attribution of outcomes, and denial of structural discrimination.

Disability / Neurodivergence

Assesses norm assumptions about working styles, deficit framing, and attribution of performance to diagnosis rather than environment.

Age

Identifies ageist attribution patterns, technology stereotyping, and assumptions about adaptability and development investment.

Socioeconomic Background

Examines class-based definitions of professionalism, executive presence, and ambition that encode cultural capital as merit.

Religion / Belief

Measures assumptions about flexibility, commitment, and professional norms that centre secular majority defaults.

Sexual Orientation / Gender Identity

Assesses modern homonegativity, differential social evaluation, and norm assumptions about professional presentation.

Your Results

Strengths, patterns, and a training plan

Your report identifies where your response patterns suggest equitable evaluation habits , and where they suggest patterns that research links to differential treatment. Results use experience-first language throughout.

Training recommendations are tiered by axis score and pattern type, and mapped to evidence-based intervention types. Mandatory diversity training is not recommended , research consistently shows null to negative effects (Dobbin & Kalev, 2016).

Awareness

Low indicators. Your responses suggest equitable evaluation habits on this axis.

Developing

Moderate indicators. Some patterns warrant attention and structured learning.

Review Required

Elevated indicators. Research links these patterns to differential treatment. Active intervention recommended.

Data and Privacy

Your responses belong to you

Free text deleted within 24 hours

Your written definitions are processed for scoring, emailed to you, and then deleted from our systems. Only derived scores are retained.

Individual results stay individual

If your access was organisation-purchased, your employer sees only aggregated team-level summaries , never your individual axis scores.

UK GDPR compliant

Special category data considerations are built into the data architecture. Intake demographics inform report framing only , they do not affect your scores.

No mandatory disclosure

Demographic intake questions all include a prefer not to say option. Omitting them affects report contextualisation only.