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Hybrid Skills Assessments

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Written by Veronika Bougioukli
Updated this week

Hybrid skills combine hard skills with soft skills, often requiring technical proficiency alongside people-oriented abilities. These are the skills that help people work across teams, navigate complex systems, and solve problems in real-world business contexts.

Bryq’s Hybrid Skills Assessments are built to measure these multifaceted capabilities — offering insight into how individuals apply both hard and soft skills in tandem. Whether you're assessing someone’s ability to manage a project, analyze risk, or implement ethical AI practices, hybrid assessments provide the clarity needed to make confident, cross-functional talent decisions.

Why Hybrid Skills Matter

Modern roles are rarely defined by a single type of skill. Most jobs today — especially in tech, operations, strategy, and leadership — demand a mix of analytical ability, communication skills, and adaptability.

Hybrid skills are critical for:

  • Working across departments or disciplines

  • Leading complex projects

  • Navigating risk, regulation, or customer needs

  • Bridging technical systems and human interactions

By assessing hybrid skills, you gain a deeper understanding of how someone thinks, eacts, and delivers outcomes in dynamic, high-impact environments.

When to Assess Hybrid Skills

Hybrid skills are essential for roles that live at the intersection of technology, strategy, and collaboration. Use them when hiring or developing talent for roles involving:

  • Project ownership and execution

  • Customer-facing problem solving

  • Cross-functional leadership

  • Policy, compliance, or governance

  • Strategic decision-making with data and tools

They’re ideal for positions like:

  • Product Manager

  • Business Analyst

  • Customer Success Manager

  • IT Risk Specialist

  • Operations Lead

  • Agile Coach

Assessment Specs

  • Format: 12 multiple-choice questions (MCQs)

  • Completion time: Less than 12 minutes

  • Question types: Scenario-based, best-strategy selection, prioritization, or contextual judgment

  • Focus: Each assessment evaluates up to 4 integrated sub-skills

Randomization: Full shuffling of questions

Example Question

Below is an example question from the assessment experience, illustrating the type of content assessment takers can expect to encounter.

Hybrid Skills Catalog

Explore our library of hybrid assessments, designed to reflect the complexity of real-world roles that require both technical fluency and human skills:

AI Governance

Assesses ethical AI practices and adherence to industry standards to help organizations implement AI responsibly and maintain compliance with evolving regulations.

Cybersecurity

Evaluates individuals’ cybersecurity awareness and risk mitigation skills, ensuring organizations are protected against evolving digital threats.

Workplace Safety

Assesses an individual’s ability to recognize, respond to, and prevent work-related accidents.

Customer Relationship Management (CRM)

Evaluates knowledge of CRM principles, tools, and strategies for managing customer interactions, data, and sales processes.

Risk Management

Assesses the ability to identify, evaluate, and mitigate risks in business, technology, or project environments to support informed decision-making and organizational resilience.

Agile Methodologies

Assesses knowledge of Agile principles, frameworks, and best practices for iterative project management.

Customer Success

Assesses the ability to manage customer relationships, drive engagement, and ensure long-term satisfaction and retention through proactive support and strategic alignment.

Project Management

Assesses expertise in planning, executing, and managing projects and workflows, including scope, timelines, resources, and stakeholder coordination.

Analytical Skills

Assesses the ability to systematically evaluate data, identify patterns, and apply logical reasoning to solve complex problems and make data-driven decisions.

Troubleshooting

Assesses the ability to diagnose and resolve technical or operational issues efficiently through logical analysis and problem-solving techniques.

Data Analysis

Evaluates the ability to collect, process, and interpret data using statistical methods, visualization tools, and analytical techniques.

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