Category Archives: SFIA

Despite Tech Layoffs, Competition for Talent Remains Fierce

Despite tech industry’s layoffs, the competition for skilled tech professionals remains fierce

In a world where the tech industry’s dynamism is both its greatest asset and most significant challenge, recent headlines have been dominated by news of layoffs across major tech companies. 

From startups to tech giants, the industry has seen a wave of job reductions, sparking concerns about job security and the future of work in tech. 

However, paradoxically, even as layoffs send ripples of uncertainty, the competition for top talent in the tech sector remains as fierce as ever. This apparent contradiction is a reflection of the industry’s evolving needs and the unique nature of tech talent.

i. Navigating Through an Ocean of Contradictions

The headlines of mass layoffs in renowned tech companies might paint a grim picture, suggesting a market cooling off or a sector in distress. Yet, the reality is far more nuanced. While specific roles and projects may face cuts due to strategic realignment or cost optimization, the digital transformation journey across multiple sectors fuels a continuous demand for tech expertise.

ii. The Digital Transformation Imperative

The relentless march of digital transformation across all corners of the economy underscores the fierce competition for tech talent. From healthcare to finance, from manufacturing to education, organizations are investing heavily in digital infrastructure, cybersecurity, data analytics, and customer engagement platforms. This broad-based digital adoption creates a high demand for skills in software development, data science, artificial intelligence (AI), and machine learning (ML), among others.

iii. Why the Disconnect?

Several factors contribute to this imbalance:

o Resilient Tech Demand: Many tech sectors, like cybersecurity and fintech, have remained strong throughout economic downturns. Companies prioritize retaining skilled workers in these areas.

o Specialized Skills: The demand is high for tech professionals with specialized knowledge. Layoffs often target less specialized roles, leaving a gap for those with in-demand skillsets.

o Candidate Caution: Economic uncertainty may make some tech workers hesitant to jump ship, creating a smaller pool of active job seekers.

iv. A Closer Look at the Phenomenon

A. The Nature of Layoffs: Firstly, it’s critical to understand that many of the layoffs represent strategic realignments rather than blanket cost-cutting measures. Companies are streamlining operations, exiting non-core businesses, or adapting to post-pandemic market realities. In many cases, these layoffs do not necessarily reflect a decrease in demand for tech solutions but rather a shift in business strategies.

B. The Demand for Specialized Skills: The tech industry is undergoing rapid transformation, with emerging technologies like artificial intelligence (AI), machine learning (ML), cybersecurity, and blockchain reshaping the landscape. As a result, there remains a high demand for skill sets aligned with these areas. Even as companies narrow their focus, the competition for professionals with expertise in these cutting-edge technologies continues to intensify.

C. The Flexibility of Tech Talent: Another factor contributing to the ongoing competition is the inherent flexibility of tech professionals. Many possess skills that are easily transferable between sectors and specialties, enabling them to pivot in response to the changing market. This agility makes tech professionals highly sought after, as they can often rapidly realign their expertise to meet the evolving needs of the market.

D. Remote Work and Global Talent Pools: The widespread adoption of remote work has further intensified competition by globalizing the talent pool. Companies are no longer limited to hiring locally but can tap into global markets for the best talent, escalating the competition to a worldwide scale. Conversely, tech professionals have more opportunities than ever, able to work for companies around the globe without relocating, increasing the competitive pressure on employers to attract and retain top talent.

v. Despite Tech Layoffs, Competition for Talent Remains Fierce

In the wake of economic fluctuation and shifts in consumer behavior, the technology sector has experienced a wave of layoffs, raising concerns about job stability and market saturation. However, a closer look at the industry landscape reveals a paradox: despite these layoffs, competition for tech talent remains intense. This phenomenon is driven by several underlying factors that underline the enduring value and demand for skilled professionals in the digital age.

vi. The Specialization Divide

One of the reasons for the ongoing competition for tech talent, even in the face of layoffs, is the increasing need for specialized skills. As technology evolves, the expertise required becomes more niche and advanced. Professionals with experience in emerging technologies such as blockchain, quantum computing, or next-generation AI algorithms are in short supply, making them highly sought after. Companies are in a race not just to attract this talent but also to retain it, often offering competitive salaries, benefits, and flexible working conditions.

vii. The Remote Work Revolution

The adoption of remote work has further intensified the competition for tech talent. Geographic barriers to employment have diminished, allowing companies, from startups to tech giants, to vie for the same pool of candidates irrespective of their physical location. This global talent pool means that despite layoffs in specific companies or regions, the overall market for skilled professionals remains tight.

viii. Reskilling and Upskilling: A Path Forward

Another factor contributing to the intense competition is the focus on reskilling and upskilling within the industry. Organizations are not just looking for new hires; they are also investing in training their current workforce to meet the demands of tomorrow’s tech landscape. This focus on continuous learning ensures a constant demand for both trainers and learners, further highlighting the value placed on tech skills.

ix. Strategies for Navigating the Talent Competition

Branding and Culture

A. Fostering a Strong Company Culture: In a competitive market, a strong, positive company culture can be a significant differentiator. Professionals are increasingly valuing companies that offer not just financial incentives but also a supportive work environment, opportunities for growth, and alignment with personal values.

B. Invest in Employer Branding: Building a strong employer brand is essential for attracting top talent. Companies should showcase their culture, values, mission, and commitment to employee growth and development through various channels, including social media, company websites, and employer review sites.

Employee Well-being and Development

C. Prioritize Employee Engagement and Well-being: Fostering a supportive and inclusive work environment where employees feel valued, empowered, and engaged is key to retaining talent. Companies should invest in initiatives that promote employee well-being, work-life balance, and professional development, such as mentorship programs, training opportunities, and wellness initiatives.

D. Investment in Employee Development: Companies that invest in the continued development of their employees are more likely to attract and retain top talent. This includes providing opportunities for skill enhancement, career progression, and exposure to new technologies and methodologies.

Benefits and Flexibility

E. Competitive Compensation and Benefits: While not the only factor, competitive compensation and benefits packages remain crucial in attracting tech talent. Customized benefits that address the specific needs and preferences of tech professionals can set a company apart.

F. Embracing Flexibility and Remote Work: Companies that offer flexibility in work arrangements, including remote work options, are at a competitive advantage. This flexibility is highly valued by tech professionals and can be a decisive factor in their employment choices.

G. Embrace Diversity and Inclusion: Embracing diversity and inclusion is not only the right thing to do but also essential for driving innovation and creativity. Companies should strive to create diverse and inclusive workplaces where individuals from different backgrounds, experiences, and perspectives can thrive and contribute to their fullest potential.

x. Conclusion

Despite the tech industry facing a wave of layoffs, the undercurrents of change reveal a more complex picture. The demand for tech talent, especially those with specialized skills or the agility to adapt to new technologies, remains robust. 

For organizations looking to navigate this competitive landscape successfully, the key lies in understanding the evolving dynamics of the tech workforce, adapting to these changes, and fostering an environment where top talent can thrive. 

In the shifting sands of the tech industry, the race for innovation continues to be closely tied to the competition for talent.

xi. Further references 

Despite Tech Layoffs, Competition for Talent Remains Fierce | Bain & Company

LinkedIn · Bain & Company10+ reactions  ·  1 year agoBain & Company on LinkedIn: Despite Tech Layoffs, Competition for Talent Remains …

Forbeshttps://www.forbes.com › sites › te…Tech Layoffs Haven’t Ended The Tech Talent Wars

Moonshot Newshttps://moonshot.news › News › ITCompetition for top digital talent remains fierce

Boston Consulting Grouphttps://www.bcg.com › publicationsThe Race for Tech Talent Hasn’t Stopped

Forbeshttps://www.forbes.com › sites › w…Why It’s Difficult To Hire (And Retain) Quality Tech Talent

Springboardhttps://www.springboard.com › blogHas the Job Market Recovered After the Tech Layoffs?

LinkedIn · Inspirisys Solutions Limited (a CAC Holdings Group Company)5 reactionsTech layoffs in 2023: Causes, Consequences and Affected Companies

Raconteurhttps://www.raconteur.net › retain-…How to retain top tech talent

Omaha World-Heraldomaha.comBig Tech layoffs opportunity for other sectors

McKinsey & Companyhttps://www.mckinsey.com › const…Constructing the tech future: Porsche Digital spearheads talent attraction

EM360 Techhttps://em360tech.com › tech-articleTalent Turmoil: Why Three in Four UK Techies Are Dissatisfied at Work

LinkedIn · Nicolas BEHBAHANI50+ reactionsRecruiting top Talent following Layoffs is a recruiting Strategy for many organizations!

Deloittehttps://www2.deloitte.com › industryTech talent is still hard to find, despite layoffs in the sector

Freelance Informerhttps://www.freelanceinformer.com › …What do the latest tech layoffs mean for freelancers?

Competence in Cybersecurity Domains as outlined in SFIA

The Skills Framework for the Information Age (SFIA) is a model used worldwide for describing and managing competencies for ICT professionals. 

SFIA defines the skills and levels of competence required by professionals in roles involving information and communication technology.

In terms of cybersecurity, the SFIA framework identifies a number of cybersecurity skills and competencies, and it provides clear definitions, key responsibilities, and expected outcomes for each of them. 

i. SFIA Skills for Cybersecurity

The SFIA framework includes a number of skills that are relevant to cybersecurity, including:

A. Threat intelligence (THIN): This skill involves collecting and analyzing information about threats to computer systems and networks.

B. Penetration testing (PENT): This skill involves simulating attacks on computer systems and networks to identify vulnerabilities.

C. Information security (SCTY): This skill involves developing and implementing security controls to protect information assets.

D. Information assurance (INAS): This skill involves providing assurance that information systems and data are secure.

E. Organizational capability development (OCDV): This skill involves developing and implementing organizational policies and procedures to support cybersecurity.

F. Workforce planning (WFPL): This skill involves planning and managing the cybersecurity workforce.

ii. Benefits of Using SFIA for Cybersecurity

There are a number of benefits to using the SFIA framework for cybersecurity, including:

A. A common language: SFIA provides a common language for describing cybersecurity skills. This can help organizations to communicate more effectively about cybersecurity and to identify the skills needed for different roles.

B. A standardized framework: SFIA is a standardized framework. This means that it is consistent and can be used to compare the skills of individuals and organizations.

C. A comprehensive framework: SFIA covers a wide range of cybersecurity skills. This makes it a valuable resource for developing and assessing the skills of cybersecurity professionals.

iii. How to Use SFIA for Cybersecurity

There are a number of ways to use the SFIA framework for cybersecurity, including:

A. Developing job descriptions: SFIA can be used to develop job descriptions for cybersecurity roles.

B. Assessing candidate skills: SFIA can be used to assess the skills of candidates for cybersecurity roles.

C. Developing training programs: SFIA can be used to develop training programs for cybersecurity professionals.

D. Tracking employee skills: SFIA can be used to track the skills of employees and to identify areas where training is needed.

iv. The latest cybersecurity SFIA skills:

A. Cybersecurity strategy and leadership:

o Cybersecurity strategy and planning: The ability to develop and implement a cybersecurity strategy that aligns with the organization’s overall goals and objectives.

o Cybersecurity leadership: The ability to lead and motivate a team of cybersecurity professionals to achieve the organization’s cybersecurity goals.

o Cybersecurity risk management: The ability to identify, assess, and manage cybersecurity risks.

o Cybersecurity governance and compliance: The ability to ensure that the organization complies with all relevant cybersecurity laws and regulations.

B. Cybersecurity architecture:

o Cybersecurity architecture design: The ability to design a secure and scalable cybersecurity architecture for the organization.

o Cybersecurity architecture implementation: The ability to implement a cybersecurity architecture in a way that meets the organization’s needs.

o Cybersecurity architecture maintenance: The ability to maintain and update a cybersecurity architecture as the organization’s needs change.

C. Cybersecurity research and intelligence:

o Cybersecurity threat intelligence: The ability to collect, analyze, and disseminate cybersecurity threat information.

o Cybersecurity vulnerability research: The ability to research and identify cybersecurity vulnerabilities.

o Cybersecurity penetration testing: The ability to conduct penetration tests to identify and exploit vulnerabilities in systems and networks.

D. Cybersecurity governance, risk and compliance:

o Cybersecurity governance: The ability to establish and implement cybersecurity governance frameworks and policies.

o Cybersecurity risk management: The ability to identify, assess, and manage cybersecurity risks.

o Cybersecurity compliance: The ability to ensure that the organization complies with all relevant cybersecurity laws and regulations.

E. Cybersecurity advice and guidance:

o Cybersecurity risk assessment: The ability to assess the cybersecurity risks faced by an organization.

o Cybersecurity incident response: The ability to respond to cybersecurity incidents.

o Cybersecurity training and awareness: The ability to develop and deliver cybersecurity training and awareness programs.

F. Secure software and systems development:

o Secure coding practices: The ability to write secure code.

o Application security testing: The ability to test applications for security vulnerabilities.

o Security architecture: The ability to design and implement a secure application architecture.

G. Cybersecurity change programmes:

o Cybersecurity change management: The ability to manage cybersecurity changes in a way that minimizes risk.

o Cybersecurity awareness and training: The ability to develop and deliver cybersecurity awareness and training programs.

o Cybersecurity culture: The ability to create a positive cybersecurity culture within the organization.

H. Secure supply chain:

o Supply chain risk management: The ability to identify, assess, and manage supply chain risks.

o Secure procurement: The ability to procure secure products and services.

o Secure vendor management: The ability to manage vendors in a way that minimizes cybersecurity risks.

I. Secure infrastructure management:

o Network security: The ability to secure networks from unauthorized access and attacks.

o System hardening: The ability to harden systems to make them more resistant to attack.

o Data security: The ability to protect data from unauthorized access, modification, and disclosure.

J. Cybersecurity resilience:

o Business continuity and disaster recovery: The ability to plan for and recover from cybersecurity incidents.

o Cybersecurity resilience testing: The ability to test the organization’s resilience to cybersecurity incidents.

o Cybersecurity incident response: The ability to respond to cybersecurity incidents.

K. Cybersecurity talent management:

o Cybersecurity recruitment and retention: The ability to attract and retain cybersecurity talent.

o Cybersecurity training and development: The ability to develop the skills and knowledge of cybersecurity professionals.

o Cybersecurity career management: The ability to manage the careers of cybersecurity professionals.

L. Cybersecurity education and training:

o Cybersecurity curriculum development: The ability to develop cybersecurity curricula.

o Cybersecurity teaching and learning: The ability to teach cybersecurity.

o Cybersecurity training and awareness: The ability to develop and deliver cybersecurity training and awareness programs.

Each of these skills is divided into several levels of responsibility, which makes SFIA an important tool for planning careers, recruitment, identifying training needs, and resource planning in IT departments.

These are just a few of the many cybersecurity SFIA skills that are in demand today. As the cybersecurity landscape continues to evolve, it is important for organizations to have a strong bench of cybersecurity professionals with the skills and knowledge to protect their systems and data from cyberattacks.

https://sfia-online.org/en/sfia-8/sfia-views/information-and-cyber-security

https://online.champlain.edu/blog/top-cybersecurity-skills-in-high-demand

https://www.nist.gov/system/files/documents/2023/10/05/NIST%20Measuring%20Cybersecurity%20Workforce%20Capabilities%207-25-22.pdf

AI Impact on IT Job Markets

The impact of artificial intelligence (AI) on the IT job market is significant and multifaceted. While AI has the potential to automate certain tasks and enhance efficiency in IT operations, it also creates new opportunities and demands for IT professionals. 

i. Here are some key points to consider:

A. AI Development and Maintenance: The development, implementation, and maintenance of AI systems require skilled professionals. AI engineers, data scientists, and machine learning experts are in high demand as organizations seek to leverage AI for various applications.

B. AI engineering: AI engineering is a new field that is responsible for designing, building, and deploying AI systems. AI engineers are in high demand, as more and more organizations are adopting AI.

C. AI Governance and Ethics: With AI comes the need for governance and ethical considerations. IT professionals specializing in AI ethics and compliance may see increased demand to ensure responsible AI usage.

D. AI Monitoring and Maintenance: AI systems require continuous monitoring and maintenance to ensure they perform optimally. IT professionals responsible for managing and optimizing AI systems will be essential.

E. Automation of Routine Tasks: AI can automate repetitive and routine tasks such as data entry, monitoring, and basic troubleshooting. This could lead to a reduced demand for entry-level IT roles that primarily involve these tasks.

F. Changing skill requirements: AI is changing the skill requirements for many IT jobs. For example, workers now need to have strong analytical and problem-solving skills in order to work with AI systems. Workers also need to be able to communicate effectively with both technical and non-technical audiences about AI.

G. Collaboration with AI: Rather than being replaced, many IT professionals will collaborate with AI systems to enhance their productivity. AI can assist in decision-making, problem-solving, and predictive analysis, making IT professionals more effective.

H. Customization and Integration: AI solutions often need to be customized and integrated into an organization’s existing IT infrastructure. IT professionals skilled in this area will play a crucial role.

I. Data science: AI is heavily reliant on data, so there is a growing demand for data scientists. Data scientists are responsible for collecting, cleaning, and analyzing data to develop and train AI models.

J. Emphasis on New Skills: With the rise of AI, there’s a growing demand for professionals skilled in AI and machine learning. As a result, there is a need for IT professionals to constantly upgrade their skills to stay relevant in the job market.

K. Enhanced Decision Support: AI can provide valuable insights for IT professionals to make better decisions. IT managers and leaders will need to interpret and act on these insights effectively.

L. Improved Efficiency: AI can significantly improve efficiency in the IT sector, such as through streamlining work processes or improving accuracy. This allows IT professionals to focus on more strategic tasks, potentially making their roles more interesting and engaging.

M. Increased Demand for Cybersecurity: As AI adoption grows, so does the need for robust cybersecurity measures to protect AI systems and the data they use. Cybersecurity professionals will continue to be in high demand.

N. IT support: AI is being used to automate tasks such as troubleshooting and customer service. This is leading to job displacement for some IT support staff, but it is also creating new jobs for AI developers and IT support staff who specialize in supporting AI systems.

O. New Job Roles: While AI might be automating certain jobs, it’s also creating new roles. These include AI specialists, data scientists, machine learning engineers, AI trainers, explainability engineers, AI product managers, and AI ethicists among others. These roles didn’t exist a decade ago and reflect the evolving nature of the IT job market. The creation of these new roles can lead to an increase in the demand for IT professionals with these skills.

P. Software development: AI is being used to automate tasks such as code generation, testing, and debugging. This is leading to job displacement for some software developers, but it is also creating new jobs for AI developers and software developers who specialize in integrating AI into software applications.

Q. Upskilling and Reskilling: IT professionals need to adapt to AI by acquiring new skills. This includes expertise in AI and machine learning, as well as a deeper understanding of data analysis, cybersecurity, and cloud technologies. Many organizations are investing in upskilling and reskilling their existing IT workforce to remain competitive.

ii. How to prepare for the AI revolution:

Artificial intelligence (AI) is having a significant impact on the IT job market. It is automating many tasks that were previously performed by humans, and it is creating new jobs in areas such as AI development, data science, and AI integration.

iii. Impact on existing jobs:

AI is automating many repetitive and mundane tasks in IT, such as data entry, data processing, and software testing. This is leading to job displacement in some areas. For example, Gartner predicts that AI will displace more than 1.8 million IT jobs by 2024.

iv. Impact on new jobs:

AI is also creating new jobs in areas such as AI development, data science, and AI integration. These jobs require skills in areas such as machine learning, natural language processing, and computer vision. For example, the World Economic Forum predicts that AI will create 97 million new jobs by 2025.

v. Overall impact:

The overall impact of AI on the IT job market is likely to be positive. However, there will be some job displacement in the short term as AI automates more and more tasks. In the long term, AI is expected to create more jobs than it displaces, but these jobs will require different skills than the jobs that are being lost.

vi. How to prepare for the future of work:

Workers in the IT industry need to be prepared for the future of work, which will be increasingly shaped by AI. Here are some tips:

A. Be adaptable and willing to learn: The IT field is constantly changing, and AI is accelerating this change. Be willing to learn new skills and adapt to new technologies in order to stay ahead of the curve.

B. Become an AI advocate: AI is still a relatively new technology, and there is a lot of misinformation about it. You can help to educate others about AI and its potential benefits.

C. Become an AI expert: If you are interested in a career in AI, you can specialize in a particular area of AI, such as machine learning, natural language processing, or computer vision.

D. Become familiar with AI tools and technologies. This will help you to be more productive and efficient in your work.

E. Develop skills in AI and other emerging technologies. This will make you more marketable to employers and help you to stay ahead of the curve.

F. Develop your AI skills: There are many resources available online and in person to help you develop your AI skills. You can also take courses or get certified in AI.

G. Focus on your soft skills. AI is good at automating tasks, but it is not as good at tasks that require human skills such as creativity, problem-solving, and communication.

While AI automation may impact certain routine IT tasks, it also creates new opportunities for IT professionals to specialize in AI development, governance, cybersecurity, and other related areas. 

The IT job market is evolving, and adaptability and continuous learning are key for IT professionals to thrive in this changing landscape.

How can you maximize your IT Strategy Team’s strengths?

Maximizing your IT strategy team’s strengths is essential for achieving the organization’s technology objectives effectively.

Here are some strategies to help you make the most of your IT strategy team:

A. Clearly Define Roles and Responsibilities: Ensure that each team member has a well-defined role that aligns with their strengths and expertise. This minimizes role ambiguity and maximizes individual contributions.

B. Leverage Diverse Skillsets: IT strategy often involves a wide range of skills, from technical expertise to project management and communication skills. Embrace the diverse strengths of your team members and allocate tasks according to their strengths.

C. Identify and leverage team members’ individual strengths: Everyone has different strengths and weaknesses. Take the time to identify the unique strengths of each member of your team and find ways to leverage those strengths in the best possible way. For example, if you have a team member who is particularly good at strategic thinking, you could put them in charge of developing the overall IT strategy for the company. If you have a team member who is particularly good at technical analysis, you could put them in charge of evaluating new technologies and developing recommendations for how to implement them.

D. Use Strength-Based Management: Focus on managing via strengths, not just on improving weaknesses. This approach helps team members feel more competent and increases engagement.

E. Clarify Roles: Once you illuminate everyone’s strengths, careful task delegation becomes pivotal. Ensuring individuals are assigned roles that capitalize on their skills and strengths will maximize productivity and effectiveness.

F. Effective Collaboration: Encourage collaboration and knowledge sharing within the team. Cross-functional collaboration can lead to innovative solutions and better decision-making.

G. Create a culture of collaboration and communication: Encourage team members to collaborate and share ideas. Create opportunities for them to learn from each other and to grow professionally. Foster a culture of open communication where team members feel comfortable sharing their thoughts and ideas, even if they are different from the prevailing opinion.

H. Continuous Learning: IT is a rapidly evolving field: Encourage your team to stay updated on the latest trends and technologies. Encourage team members to continuously develop their skills, either through certifications, courses, or workshops. This helps to increase the overall skill level of the team and allows them to build on their strengths.

I. Alignment with Business Goals: Ensure that the IT strategy team’s efforts align closely with the organization’s overall business goals. This ensures that their strengths are used to drive the company’s success.

J. Set clear goals and expectations: Make sure that team members know what is expected of them and that they have the resources they need to be successful. This will help them to focus on their work and to achieve their goals.

K. Effective Communication: Strong communication skills are critical for an IT strategy team. Ensure that team members can clearly convey their ideas, plans, and progress to both technical and non-technical stakeholders.

L. Include Everyone in Strategic Planning: By doing so, you ensure a variety of perspectives and can leverage the unique strengths of your team members for strategic decision-making.

M. Encourage Innovation and Creativity: Leverage the team’s strengths to foster an innovative and creative environment. Allow team members to experiment and take calculated risks based on their strengths.

N. Data-Driven Decision-Making: Leverage the analytical strengths of your team by making data-driven decisions. Use data to identify trends, make predictions, and assess the impact of IT initiatives.

O. Delegate tasks and responsibilities: Don’t try to do everything yourself. Delegate tasks and responsibilities to team members based on their strengths and skills. This will free you up to focus on the most important tasks and will help to develop team members’ skills and knowledge.

P. Leadership Development: Identify potential leaders within the team and invest in their leadership skills. Strong leadership can maximize the effectiveness of the team and lead to better outcomes.

Q. Project Management Excellence: Utilize team members with strong project management skills to ensure that IT projects are well-planned, executed efficiently, and meet their objectives.

R. Recognize and Reward Success: Acknowledge and reward team members for their contributions and achievements. This fosters motivation and encourages them to continue leveraging their strengths.

S. Flexibility: Be open to adapting strategies and approaches as needed. IT environments are dynamic, and the team’s ability to pivot and adapt is a valuable strength.

T. Feedback and Improvement: Regularly seek feedback from team members and encourage them to share their insights and suggestions for improvement. This helps in refining strategies and processes.

U. Provide Feedback: Regularly provide constructive feedback that recognizes individual strengths and highlights potential areas for improvement or development.

V. Empower team members to make decisions: Give team members the authority to make decisions within their area of expertise. This will help them to feel more engaged and empowered, and it will also make the team more efficient.

W. Mentoring and Coaching: Encourage senior team members to mentor and coach their colleagues, sharing their expertise and helping others develop their strengths.

X. Create a safe environment for risk-taking: It is important to create an environment where team members feel comfortable taking risks and trying new things. This will help to foster innovation and creativity.

Y. Invest in training and development: Help team members to develop their skills and knowledge. This will make them more effective in their roles and help them to contribute more to the team.

Z. Invest in Tools and Software: Ensuring your team has access to the technologies they need to maximize their strengths and complete their work more efficiently can boost overall team performance.

AB. Rewarding Success: Recognize and reward success in order to motivate team members and encourage them to continuously leverage their strengths.

By recognizing and harnessing the unique strengths of your IT strategy team, you can optimize their performance, enhance the value they bring to the organization, and contribute to the successful execution of IT initiatives.

Top 10 skills to include in your IT CV

Top 10 skills to include in your IT CV

Find out what skills and keywords you should include on your CV to stand out as an IT professional in a competitive market

Most companies now use applicant tracking systems to scan resumes for relevant keywords. If your CV doesn’t have the correct keywords for skills, the chances are you will not be selected for an interview.

So how can you make sure you have the right keywords on your CV? By tailoring it to the job and highlighting the required skills from the job description.

Every job will be a little different. That’s why so many people hire professional IT CV writers. However, if you don’t have the time or resources for that, you can at least include some of the most sought-after skills for IT jobs.

Below, we highlight the best skills to include in your IT CV.

Software development

If you work in software development, you will know how important technical skills are. Any employer is going to want to know the exact stack you have been using to determine what kind of engineer you are.

Here are 10 common CV skills to include for software development:

Android developer

  • iOS developer
  • C++
  • PHP
  • JavaScript
  • WordPress
  • HTML
  • Quality assurance
  • Scrum
  • Agile

Software developers typically require the highest level of technical skills. Since software developers are hands-on engineers, the programming stack and tools used are highly relevant.

Technical support

Technical support staff are responsible for providing help with specific problems related to a product or service. They are the front line for any employee or customer issues. The skills required for technical support staff are more focused on customer service than programming.

Here are 10 common CV skills to include for technical support:

  • Oral communication
  • Written communication
  • Customer service
  • Windows/Mac
  • Product knowledge
  • Basic programming
  • Linux/Unix
  • NoSQL
  • Call centre
  • Support tickets

While technical support engineers should still have basic programming skills, the technical requirements are much less than those expected of software developers.

IT project management

IT project management professionals are essentially the middlemen and women between the business teams and the technical teams. Project managers are responsible for achieving goals and meeting project deadlines. In a technical setting, it’s common for project managers to work with software developers to achieve the company’s goals.

Here are 10 common CV skills to include for project management:

  • Agile
  • Scrum
  • Leadership
  • Project planning
  • Scheduling
  • Risk management
  • Budgeting
  • Communication
  • Quality control
  • Technical acumen

Project management skills are a mix of developer and upper management skills. A combination of leadership and technical skills are required to be a successful IT project manager.

Cyber security

Security for technology jobs is very different than security for non-technical jobs. Security professionals in IT are not big, strong men guarding an entrance. Not physically at least. IT security professionals are responsible for maintaining digital security, reducing cyber threats and ensuring data is secure at all times.

Here are 10 common CV skills to include for cyber security:

  • CISM certification
  • CISSP certification
  • Malware analysis
  • Programming
  • Risk analysis
  • Cloud security
  • Security analysis
  • Intrusion detection
  • IP setup
  • Ethical hacking

Cyber security professionals require a high level of technical knowledge and often certifications. The best cyber security professionals will be able to think like a hacker to prevent malicious attacks from ever occurring.

Executive IT leadership

Executive leaders who work in information technology often come from backgrounds in technical roles such as software development or cyber security. It’s extremely useful to have some technical knowledge to understand all the moving parts.

Here are 10 common CV skills to include for IT executives:

  • Leadership
  • Database management
  • Innovation
  • Programming languages
  • Collaboration
  • Mobile development
  • Budgeting
  • Network security
  • Creativity
  • SEO/SEM

Executive positions in IT require the lowest amount of technical skills to do the job. Information technology executives will need to highlight their leadership and management abilities more than their ability to code.

Where to include technical skills in your CV

Now that you know what technical skills you should be including on your CV, it’s important to know where to add them. There are a couple of key places to add skills to your CV.

Add skills to your “areas of expertise” section

We’ve included a sample below of an IT CV. Most professional CVs will have a “Skills” section. There are many different names for this section. It can be called “Key Skills”, “Areas of Excellence”, “Technical Skills”, or similar. 

It doesn’t matter what you call this section – what matters are the skills you list.

Add skills in your “professional experience” bullet points

Your professional experience or work experience is the section of your CV that talks all about your previous jobs. This is the meat of your CV. It’s crucial that you integrate relevant keywords for skills into the work experience section of your CV.

Below is a sample of how that might look. You’ll notice a variety of hard and soft technical skills such as Azure Data Lake, Microsoft Azure, Cloud, Data Strategy, Monitoring, and more.

Where to include technical skills in your CV

Wrapping up

All-in-all, the key skills that you emphasise on your CV can make or break you.

Not only will hiring managers be quickly screening your CV looking for a very specific set of skills, but technology is being used for this as well.

The best thing you can do is read each job description thoroughly and highlight specific skills or keywords that are repeated in the job description.

If the job continuously mentions the need for experience in Python, then make sure your CV mentions Python at least a few times.

With just a few CV adjustments, you will be landing more IT interviews in no time.

https://www.computerweekly.com/opinion/Top-10-skills-to-include-in-your-IT-CV?src=7202097&asrc=EM_ERU_149478168&utm_medium=EM&utm_source=ERU&utm_campaign=20210226_ERU+Transmission+for+02%2F26%2F2021+%28UserUniverse%3A+328013%29&utm_content=eru-rd2-rcpF

The state of the cybersecurity job field: 5 key factors you need to know

Help Wanted Cybersecurity Field Position

Many cybersecurity team leaders continue to face challenges finding qualified cybersecurity professionals to fill jobs in their organizations, despite the relatively high salaries and stability associated with the field.

In a skills survey specific to security operations centers (SOCs) recently published by Cyberbit, about six in 10 respondents said that barely half of all applicants for cybersecurity positions they received were qualified. Two areas where SOC teams felt most unprepared: lack of adequate skills in intrusion detection, and network monitoring, with 55% and 58% respectively identifying them as major areas of concern.

Concerns over inadequately prepared cybersecurity job applicants come even as demand for cybersecurity jobs remains strong. Jobs in the cybersecurity sector will grow by 31% between 2019 and 2029, or much faster than the average for virtually all other occupations, the US Bureau of Labor Statistics has projected.

In 2020, the worldwide cybersecurity workforce gap—or the difference between the number of skilled professionals required to protect organizations and the number available to fill those roles—declined slightly, according to (ISC)2. Even so, the cybersecurity gap was an astonishingly high 3.12 million people worldwide, and 359,000 in the US alone.

Here are five factors security experts say are key to understanding the difficulty that organizations have in finding suitable candidates for open cybersecurity jobs.

1. The HR and cybersecurity communication gap

A disconnect exists between HR and the information security team at many organizations. Cyberbit’s survey found that HR departments often do not have a clear idea of cybersecurity roles and the requirements for those roles; in fact, just one-third of the respondents to the survey felt that HR understood those requirements. The gap can often affect an organization’s ability to attract the right talent for the cybersecurity team.

Clar Rosso, CEO at (ISC)2, said that recruiting managers need to be willing to work hand-in-hand with security team members to get a clear idea of the attributes they need to look for in candidates. Hiring managers need to make sure they understand what opportunities the security team will provide for candidates to learn technical skills on the job and to support professional development.

Importantly, pay attention to how you craft job descriptions, said Deidre Diamond, founder and CEO of cybersecurity staffing and recruiting firm CyberSN. Make job descriptions as detailed as possible and avoid making requirements overly broad or ambiguous.

Job descriptions matter, and they are being done incorrectly,especially when it comes to finding qualified people who aren’t actively seeking jobs but whom you might still want to talk to, Diamond said. 

2. Misperceptions about the profession

Wrong perceptions about cybersecurity may be holding back people from entering or exploring the field as a career option. A 2020 study from (ISC)of 2,500 individuals in the US and UK who are not currently in the cybersecurity field suggests that not enough job seekers are considering a cybersecurity job to close the gaps.

Despite a ready availability of jobs, relatively high salaries, and good job stability, many are not drawn to the field because of mistaken perceptions of what the work entails. Many individuals consider the cybersecurity profession to be one that requires a high level of specialized technical skills, the survey found.

Though 69% agreed that cybersecurity might offer a good career path, 61% felt that they would need more education or certifications to enter the field. Some 27% felt that their inability to code was a disqualification, while more than one-quarter (26%) described the field as being too intimidating.

“We need to demystify cybersecurity careers,” said (ISC)2‘s Rosso. Careers in cybersecurity may be perceived as “highly specialized and unattainable by those outside the profession, when in fact many roles do not require technical skills,” Rosso said. Though 22% of respondents in the (ISC)2 survey said they would entertain pursuing a career in IT, none were interested in cybersecurity, likely because they see it involving an elite set of skills within IT that would be too difficult to attain.

3. An overemphasis on college creds

One reason why some organizations have a hard time finding cybersecurity professionals is that they insist on hiring only people with formal four-year degrees in cybersecurity. That’s a mistake, said John Pescatore, director of emerging security trends at the SANS Institute. 

“Inquisitive people don’t really need traditional four-year degrees to be successful and impactful.”
John Pescatore

What they do need is hands-on experience with cybersecurity, rather than merely having attended classroom lectures that talk about doing something. This is especially true for entry-level cybersecurity jobs, he said.

Many university cybersecurity degree programs tend not to be very useful to hiring organizations because of their overemphasis on a lecture-driven format, Pescatore said. Often, they are also not especially exciting to creative, inquisitive, and analytical individuals seeking a career in cybersecurity, he added. “This has largely been true in software engineering for many years,” he said.

And now many of the same colleges that have been teaching software engineering have sort of grafted on cybersecurity to how they were teaching computer science. “Hirers found that new hires with those degrees either took a long time to be productive or really weren’t good fits for the mix of skills needed to succeed or even have fun in a cybersecurity career,” Pescatore said.

Pescatore advocates that organizations consider individuals with certified hands-on skills in cybersecurity rather than focusing just on candidates with formal four-year degrees.

“SANS has found that community colleges—many of which are experienced in certification of medical equipment technicians—are a fantastic place for the right mix of theory and hands-on education.”
—John Pescatore

(ISC)2‘s Rosso said there is a tremendous opportunity to build cybersecurity core competencies into formal educational channels. Over 75% of respondents in a study that (ISC)2 conducted last year said they had never been offered a cybersecurity curriculum during their formal education.

“There’s still not enough formal cybersecurity education to give people a proper understanding of what cybersecurity roles entail, which leads to misperceptions about the field.”
—Clar Rosso

4. Overly technical thinking

Hiring managers should think more broadly about the requirements for cybersecurity roles. Academic degrees in cybersecurity and certifications in the field are important. But not all roles require technical skills. In fact, plenty of opportunities in the cybersecurity field are good fits for nontechnical professionals.

Tom Pendergast, chief learning officer at MediaPro, a security training firm, said cybersecurity workforce discussions often focus on technical and information security-related skills.

“There’s a lot of room on the human side of cybersecurity training and awareness space for people who write and communicate well, who can distill complex policies into clear directives, and who can help people appreciate and connect with their cybersecurity teams.”
Tom Pendergast

People who majored in English, communications, and marketing—and others with similar backgrounds—can find a home in security and privacy awareness, Pendergast said.  (ISC)2‘s Rosso urges hiring managers who are looking for cybersecurity staff to consider factors including the abilities to work on cross-functional teams and to assess risk. 

5. A lack of coding skills

Individuals looking to break into the cybersecurity profession—and those in it already—can help themselves and their employers by picking up coding skills, said CyberSN’s Diamond. In fact, one of the best skills to break in at the entry level is Python coding, she said.

Python is used in daily cybersecurity tasks, including automation, cloud environments, malware analysis, and portions of AI, she said. Python was designed to be a straightforward and generally lightweight scripting language that would require minimal coding background to accomplish automation and analysis. “So it has become a sort of go-to scripting language for cybersecurity professionals.”

The adoption of agile and CI/CD software development models—and the consequent focus on DevSecOps—has increased the need for coding skills, or at least a familiarity with coding, for cybersecurity professionals.

Corporate cybersecurity will increasingly require application security engineers and DevSecOps professionals to integrate automation into software development pipelines, to mitigate risks in APIs and production software, Diamond said.

So, while coding still is not an absolute must-have skill for cybersecurity at the moment, it is increasingly becoming a good-to-have capability.

Make changes in your security-hiring practices

A number of factors are continuing to hamper the ability of information security leaders to find adequately prepared individuals for cybersecurity jobs.

Tacklin the issue requires some fundamental changes in how organizations approach requirements for cybersecurity roles and how well they communicate those requirements to candidates, especially those who may want to enter the field but are staying away from it because of misperceptions about the profession.

https://techbeacon.com/security/state-cybersecurity-job-field-5-key-factors-you-need-know?utm_source=newsletter&utm_medium=email&utm_campaign=tbsecnewsletter12&utm_content=featured

http://www.consultia.co/solutions/it-governance-services/sfia-services/

From Training to Continuous Learning in the Workspace

From Training to Continuous Learning in the WorkspaceFrom Training to Continuous Learning in the Workspace

The training world is undergoing huge changes that could be termed, ”the big squeeze.” Expectations are rising. Executives need support for a wider range of performance needs in increasingly complex working environments to ensure their enterprises survive and thrive. And, many training and development leaders are finding themselves with less time, less financial resources and fewer people.

A recent study by the Corporate Executive Board (CEB) highlighted some of these challenges. In 2012, CEB researchers posed the following question to more than 7,000 business leaders, managers and HR executives across the world, representing all major sectors:

What improvement in employee performance do you need in order to achieve your business goals across the next 12 months?

The average response from the executives was that they need an uplift of 20 percent to achieve these goals. Additionally, managers required an average performance improvement of 22 percent. And, chief human resource officers determined that their organizations needed an increase of 25 percent in employee performance.

THE BEST LEARNING USUALLY OCCURS IN THE WORKPLACE

These are startling figures, especially when one realizes that there are only two way to improve employee performance — hire more people to do the work, or help the existing workforce increase its output.

But the worse is still to come from this study.

CEB researchers also looked at the increased productivity that could be reasonably expected from traditional classroom training. The conclusion they drew was that classroom training effectiveness has improved in recent years. Training effectiveness was determined as the extent to which employees actually apply training in the workplace.

From a sample of more than 6,000 employees, the researchers determined that classroom training effectiveness had increased from 64 percent to 76 percent between 2009 and 2012. They also determined that further improvements in facilitator skills, new training materials, enhanced classroom facilities, and the increased use of technology in the classroom would not yield breakthrough performance. A further four percent improvement could be expected at best.
Storage:
The study concluded that “continuing to invest in standard improvements based on yesterday’s work environment will not yield breakthrough performance.”

These findings support others. There is an inherent inertia in traditional training approaches. For example, 20th century training approaches tend to be slow to deliver and don’t scale. Event-based learning usually takes a great deal of time to plan, design and develop. e—Learning has helped reduce the time to deliver and some issues of scale, but often at the expense of disengaging employees from the learning process due to unimaginative content-rich and experience-poor e—learning programs.

FINDING ANSWERS

So, if the answer doesn’t lie in improving existing and past practices, where does it lie?

It lies in changing mindsets first, and then changing practices. It lies in helping people appreciate that learning is not an event or series of events but something that happens at any time and is most likely to happen as part of the workflow.

It lies in understanding that classroom training can be a wonderful way to help employees quickly get to grips with what’s expected in their jobs and what’s available to help them. Well-designed training can often help people get started or refresh basic core skills. Classroom events can also encourage joint problem solving and community building.

However, the best learning usually occurs in the workplace. It comes from tackling big challenges and from making mistakes and then reflecting on what went wrong, how we can fix it, and what we would do next time. It comes from sharing our challenges and successes with colleagues. It comes from practice in context, and more practice.

And it comes from appreciating that learning and performance improvement is a lifetime journey. That everyone, no matter what our role or position, benefits from adopting a mindset of continuous learning in the workflow.

Training Industry Magazine – Training Trends 2015

Google’s Secret to Hiring the Best People

Google’s Secret to Hiring the Best People

An employee walks through the lobby of Google's Washington headquarters, Jan. 8, 2015.
An employee walks through the lobby of Google’s Washington headquarters

 

“YOU NEVER GET a second chance to make a first impression” was the tagline for a Head & Shoulders shampoo ad campaign in the 1980s. It unfortunately encapsulates how most interviews work. There have been volumes written about how “the first five minutes” of an interview are what really matter, describing how interviewers make initial assessments and spend the rest of the interview working to confirm those assessments. If they like you, they look for reasons to like you more. If they don’t like your handshake or the awkward introduction, then the interview is essentially over because they spend the rest of the meeting looking for reasons to reject you. These small moments of observation that are then used to make bigger decisions are called “thin slices.”

Tricia Prickett and Neha Gada-Jain, two psychology students at the University of Toledo, collaborated with their professor Frank Bernieri and reported in a 2000 study that judgments made in the first 10 seconds of an interview could predict the outcome of the interview.

The problem is, these predictions from the first 10 seconds are useless.

They create a situation where an interview is spent trying to confirm what we think of someone, rather than truly assessing them. Psychologists call this confirmation bias, “the tendency to search for, interpret, or prioritize information in a way that confirms one’s beliefs or hypotheses.” Based on the slightest interaction, we make a snap, unconscious judgment heavily influenced by our existing biases and beliefs. Without realizing it, we then shift from assessing a candidate to hunting for evidence that confirms our initial impression.

In other words, most interviews are a waste of time because 99.4 percent of the time is spent trying to confirm whatever impression the interviewer formed in the first ten seconds. “Tell me about yourself.” “What is your greatest weakness?” “What is your greatest strength?” Worthless.

Equally worthless are the case interviews and brainteasers used by many firms. These include problems such as: “Your client is a paper manufacturer that is considering building a second plant. Should they?” or “Estimate how many gas stations there are in Manhattan.” Or, most annoyingly, “How many golf balls would fit inside a 747?”

bock-work-rules
Excerpted from Work Rules: Insights from Google that Will Transform How You Live and Lead, by Laszlo Bock

Performance on these kinds of questions is at best a discrete skill that can be improved through practice, eliminating their utility for assessing candidates. At worst, they rely on some trivial bit of information or insight that is withheld from the candidate, and serve primarily to make the interviewer feel clever and self-satisfied. They have little if any ability to predict how candidates will perform in a job.

Full disclosure: I’m the Senior Vice President of People Operations at Google, and some of these interview questions have been and I’m sure continue to be used at the company. Sorry about that. We do everything we can to discourage this, and when our senior leaders—myself included—review applicants each week, we ignore the answers to these questions.

The Unsung Genius of the Structured Interview

In 1998, Frank Schmidt and John Hunter published a meta-analysis of 85 years of research on how well assessments predict performance. They looked at 19 different assessment techniques and found that typical, unstructured job interviews were pretty bad at predicting how someone would perform once hired.

Unstructured interviews have an r2 of 0.14, meaning that they can explain only 14 percent of an employee’s performance. This is somewhat ahead of reference checks (explaining 7 percent of performance), ahead of the number of years of work experience (3 percent).

The best predictor of how someone will perform in a job is a work sample test (29 percent). This entails giving candidates a sample piece of work, similar to that which they would do in the job, and assessing their performance at it. Even this can’t predict performance perfectly, since actual performance also depends on other skills, such as how well you collaborate with others, adapt to uncertainty, and learn.

Symptoms can also include decreased tadalafil online in uk in libido or sexual desire. In this article, I will give a brief overview of the goal of the Youth Advisory Committee (YAC) was later supplied by Morgan McClain, Private Capital Group for Africa, Program djpaulkom.tv levitra generic india Analyst, Chika Umeadi and USAID, Chikablogs.com. After one year the patient remained levitra online http://djpaulkom.tv/sim-djs-dj-paul-x-carnage-bang-she-killin/ free from headaches. It ensures abundant supply of blood to the penile region to lock semen from accidental release and stop nocturnal emissions. cheapest cialis uk And worse, many jobs don’t have nice, neat pieces of work that you can hand to a candidate. You can (and should) offer a work sample test to someone applying to work in a call center or to do very task- oriented work, but for many jobs there are too many variables involved day‑to‑day to allow the construction of a representative work sample. All our technical hires, whether in engineering or product management, go through a work sample test of sorts, where they are asked to solve engineering problems during the interview.

The second-best predictors of performance are tests of general cognitive ability (26 percent). In contrast to case interviews and brainteasers, these are actual tests with defined right and wrong answers, similar to what you might find on an IQ test. They are predictive because general cognitive ability includes the capacity to learn, and the combination of raw intelligence and learning ability will make most people successful in most jobs. The problem, however, is that most standardized tests of this type discriminate against non-white, non-male test takers (at least in the United States). The SAT consistently underpredicts how women and non- whites will perform in college. Reasons why include the test format (there is no gender gap on Advanced Placement tests, which use short answers and essays instead of multiple choice); test scoring (boys are more likely to guess after eliminating one possible answer, which improves their scores); and even the content of questions.

Tied with tests of general cognitive ability are structured interviews (26 percent), where candidates are asked a consistent set of questions with clear criteria to assess the quality of responses. There are two kinds of structured interviews: behavioral and situational. Behavioral interviews ask candidates to describe prior achievements and match those to what is required in the current job (i.e., “Tell me about a time . . . ?”). Situational interviews present a job-related hypothetical situation (i.e., “What would you do if . . . ?”). A diligent interviewer will probe deeply to assess the veracity and thought process behind the stories told by the candidate.

Structured interviews are predictive even for jobs that are themselves unstructured. We’ve also found that they cause both candidates and interviewers to have a better experience and are perceived to be most fair. So why don’t more companies use them? Well, they are hard to develop: You have to write them, test them, and make sure interviewers stick to them. And then you have to continuously refresh them so candidates don’t compare notes and come prepared with all the answers. It’s a lot of work, but the alternative is to waste everyone’s time with a typical interview that is either highly subjective, or discriminatory, or both.

There is a better way. Research shows that combinations of assessment techniques are better than any single technique. For example, a test of general cognitive ability when combined with an assessment of conscientiousness is better able to predict who will be successful in a job. My experience is that people who score high on conscientiousness “work to completion”—meaning they don’t stop until a job is done rather than quitting at good enough—and are more likely to feel responsibility for their teams and the environment around them.

The goal of our interview process is to predict how candidates will perform once they join the team. We achieve that goal by doing what the science says: combining behavioral and situational structured interviews with assessments of cognitive ability, conscientiousness, and leadership. To help interviewers, we’ve developed an internal tool called qDroid, where an interviewer picks the job they are screening for, checks the attributes they want to test, and is emailed an interview guide with questions designed to predict performance for that job. This makes it easy for interviewers to find and ask great interview questions. Interviewers can also share the document with others on the interview panel so everyone can collaborate to assess the candidate from all perspectives.

The neat trick here is that, while interviewers can certainly make up their own questions if they wish, by making it easier to rely on the prevalidated ones, we’re giving a little nudge toward better, more reliable interviewing.

Examples of interview questions include:

• Tell me about a time your behavior had a positive impact on your team. (Follow-ups: What was your primary goal and why? How did your teammates respond? Moving forward, what’s your plan?)
• Tell me about a time when you effectively managed your team to achieve a goal. What did your approach look like? (Follow-ups: What were your targets and how did you meet them as an individual and as a team? How did you adapt your leadership approach to different individuals? What was the key takeaway from this specific situation?)
• Tell me about a time you had difficulty working with someone (can be a coworker, classmate, client). What made this person difficult to work with for you? (Follow-ups: What steps did you take to resolve the problem? What was the outcome? What could you have done differently?)

Generic Questions, Brilliant Answers

One early reader of this book, when it was still a rough draft, told me, “These questions are so generic it’s a little disappointing.” He was right, and wrong. Yes, these questions are bland; it’s the answers that are compelling. But the questions give you a consistent, reliable basis for sifting the superb candidates from the merely great, because superb candidates will have much, much better examples and reasons for making the choices they did. You’ll see a clear line between the great and the average.

Sure, it can be fun to ask “What song best describes your work ethic?” or “What do you think about when you’re alone in your car?”— both real interview questions from other companies— but the point is to identify the best person for the job, not to indulge yourself by asking questions that trigger your biases (“OMG! I think about the same things in the car!”) .
We then score the interview with a consistent rubric. Our own version of the scoring for general cognitive ability has five constituent components, starting with how well the candidate understands the problem.

For each component, the interviewer has to indicate how the candidate did, and each performance level is clearly defined. The interviewer then has to write exactly how the candidate demonstrated their general cognitive ability, so later reviewers can make their own assessment.