How can I improve employees use of [Variable1]?

Clarify purpose and connect technology to goals. A manager can help employees understand why specific tools or systems matter by linking them directly to business outcomes. When people see how IT supports their success, they use it more effectively and creatively. Provide structured learning and accessible resources. Managers should create onboarding guides, short tutorials, and reusable playbooks that demystify complex systems. This ensures employees can learn independently and build confidence in using IT tools. Encourage collaboration and knowledge sharing. By fostering open communication between technical and non-technical staff, managers help spread expertise across teams. Regular discussions and shared documentation reduce silos and improve problem-solving speed. Model continuous improvement and innovation. Managers who evaluate new tools, gather user feedback, and refine workflows show that IT is a living system, not a static one. This mindset helps employees stay adaptable and proactive in leveraging technology for better results.

HR-Survey > Competency Model

Information Technology - Competency

Definition: Information Technology is the organizational capability that designs, operates, and improves the technical ecosystem by applying core technical competencies, secure engineering practices, analytical problem‑solving, and disciplined data and systems management. It delivers service‑oriented, customer‑focused support through clear communication, effective triage and resolution, strong knowledge‑transfer practices, and well‑maintained service‑desk operations that ensure users receive timely, high‑quality assistance. It ensures that technology decisions, architectures, resources, acquisitions, vendor relationships, and risk‑management activities are strategically aligned with organizational priorities, governance requirements, and long‑term business outcomes. It maintains operational excellence through robust controls, data governance, integration and modeling discipline, continuous improvement, trend and issue analysis, and technical leadership that guides teams toward scalable, compliant, and future‑ready solutions.

Organizational Skills

Business Acumen
Strategic Focus
Strategic Insight
Entrepreneurship
Company
Organizational Fluency
Fiscal Management
Continuous Improvement
Planning
Vision
Global Perspective

What is Information Technology?
Core Components of Information Technology
Why is Information Technology important?
How can I improve employees use of Information Technology?
Questions to include on your survey.

360-Feedback Assessments Measuring Information Technology:
Survey 1 (4-point scale; Competency Comments)
Survey 2 (4-point scale; Competency Comments)
Survey 3 (5-point scale; Competency Comments)
Survey 4 (5-point scale; radio buttons)
Survey 5 (4-point scale; words)
Survey 6 (4-point scale; words)
Survey 7 (5-point scale; competency comments; N/A)
Survey 8 (3-point scale; Agree/Disagree words; N/A)
Survey 9 (3-point scale; Strength/Development; N/A)
Survey 10 (Comment boxes only)
Survey 11 (Single rating per competency)
Survey 12 (Slide-bar scale)
Survey 13 (4-point scale; numbers; floating anchors)
Survey 14 (4-point scale; N/A)

Self-Comments: Do you have to complete a self-assessment or performance appraisal? If so, the
self-comments here may help.

What is Information Technology?

Information Technology is the organizational capability that builds, integrates, and maintains the technical ecosystem by applying strong core technical competencies--designing scalable architectures, connecting applications and data sources reliably, and creating data structures and flows that support both operational needs and analytics. It delivers high-quality, service-oriented operations by designing efficient workflows, implementing productivity-enhancing protocols, and ensuring reliable, user-centered IT services that meet organizational goals. IT also strengthens long-term capability through knowledge transfer, creating onboarding paths, reusable playbooks, and shared documentation that help teams work independently and solve recurring issues without escalation.

Information Technology ensures that technology decisions, architectures, and investments are strategically aligned with organizational priorities by analyzing operational strategies, identifying risks and gaps, and adjusting departmental plans to support key initiatives. It manages and allocates IT resources to maximize return on effort and investment, anticipating changing needs and aligning capacity with evolving business demands. IT also maintains operational integrity through IT controls and risk management, building data-driven control frameworks, validating compliance with governance standards, conducting periodic reviews of systems and integrations, and implementing effective risk-response strategies that protect the organization from emerging threats.

Information Technology sustains enterprise reliability and insight through vendor review, acquisition evaluation, and strong data practices--including data modeling, data controls, data governance, and data integration that ensure systems are scalable, secure, compliant, and interoperable. It drives excellence through analytical problem solving, technical leadership, and continuous improvement, diagnosing complex issues, evaluating new tools and patterns, and identifying opportunities to reduce incidents and improve stability. IT also ensures high-quality service execution through issues and trends analysis, troubleshooting and triage, resolution and closure, knowledgebase contributions, clear communication, customer-focused support, service desk operations, and the cultivation of trusted expertise that strengthens relationships across the organization and advances enterprise goals.

Core Components of Information Technology

Core Technical Competencies: Core Technical Competencies focus on the craft of building, maintaining, and improving technology itself. This dimension is about the engineer's ability to design modular architectures, write clean and secure code, connect systems reliably, structure data effectively, test thoroughly, and document clearly.
Service Orientation: Service Orientation focuses on the delivery of technology as a service to the organization. It emphasizes reliability, responsiveness, workflow design, operational efficiency, cross-team collaboration, and the ability to support employees and business partners effectively.
Knowledge Transfer: Knowledge Transfer focuses on how IT professionals spread understanding, build organizational capability, and reduce dependency on individuals. It's about making the organization smarter and more self-sufficient by sharing expertise, documenting clearly, teaching others, and ensuring continuity of knowledge.
Strategic Alignment: Strategic Alignment focuses on how IT decisions, architectures, and investments advance the organization's long-term goals and key initiatives. It's about ensuring that technology choices, enterprise architecture, modernization efforts, and operational strategies directly support business priorities, reduce risk, and deliver measurable value.
IT Resources: IT Resources focuses on how an IT organization positions, allocates, and adapts its people, tools, systems, and capacity to meet evolving business and technical needs. It's about ensuring the right resources are available at the right time--whether that means reallocating staff, scaling infrastructure, adjusting budgets, or shifting priorities to maximize operational impact.
IT Controls: IT Controls focuses on the frameworks, safeguards, and evaluation mechanisms that ensure systems operate securely, reliably, and in compliance with governance requirements. It emphasizes designing internal controls, monitoring system performance, using data-driven insights to assess risk, and maintaining the stability and resilience of critical systems.
Risk Management: Risk Management focuses on how an IT organization identifies, evaluates, and responds to risks across systems, processes, and operations. It emphasizes assessing severity levels, selecting appropriate response strategies, monitoring risk indicators, and using structured checklists to ensure vulnerabilities are caught early and IT controls are comprehensive.
Vendor Review: Vendor Review focuses specifically on the risks, performance, and compliance of third-party providers. It emphasizes conducting vendor-specific risk assessments, holding onboarding and performance-review meetings, ensuring vendors meet security and regulatory requirements, and maintaining strong oversight through established vendor-management tools and processes.
Acquisition Evaluation and Acceptance: Acquisition Evaluation and Acceptance focuses on the rigor of selecting, testing, and approving new software or systems before they enter the environment. It emphasizes structured evaluation against requirements, architectural fit, security and compliance standards, cost models, vendor maturity, and operational readiness.
Data Model: Data Model focuses on defining, validating, and securing agreement on how data is structured, interpreted, and used across the organization. It emphasizes engaging stakeholders, aligning on requirements, building consensus around data architecture decisions, and ensuring the model supports both operational and strategic goals.
Data Controls: Data Controls focus on the technical safeguards and enforcement mechanisms that ensure data is handled securely, consistently, and in compliance with governance and regulatory requirements. This includes access controls, authentication, retention and archival mechanisms, disposal policies, and the technical controls needed to demonstrate compliance.
Data Governance: Data Governance focuses on the rules, roles, and operating model that define how data is owned, classified, protected, and managed across the organization. It emphasizes stewardship, accountability, regulatory compliance, and the strategic structures that guide how data flows, how it is used, and who is responsible for its quality and protection.
Data Integration: Data Integration focuses on the technical execution of combining data from multiple systems so applications, analytics, and business processes have consistent, high-quality information. It emphasizes harmonizing data from diverse sources, defining integration architectures and standards, troubleshooting complex data flows, and enabling enterprise insights through reliable pipelines.

Why is Information Technology important?

Information Technology is important because it is the foundation that enables every modern organization to function, adapt, and compete. It builds and maintains the systems that power operations--applications, data flows, integrations, and infrastructure--ensuring reliability, scalability, and security. IT connects technical capability with organizational purpose, aligning resources, architectures, and investments with strategic goals. Through strong technical competencies, disciplined controls, and effective risk management, IT protects the organization's data, systems, and reputation while enabling innovation and efficiency across every department.

Equally important, Information Technology strengthens organizational learning and collaboration. By transferring knowledge, improving workflows, and fostering continuous improvement, IT helps teams work smarter and more independently. It delivers high-quality, customer-focused service, communicates clearly, and builds trust between technical teams and business leaders. In essence, IT is not just a support function--it is the engine of organizational capability, driving reliability, insight, and transformation that allow companies to grow, evolve, and succeed in a digital world.

How can I improve employees use of Information Technology?

Clarify purpose and connect technology to goals. A manager can help employees understand why specific tools or systems matter by linking them directly to business outcomes. When people see how IT supports their success, they use it more effectively and creatively.
Provide structured learning and accessible resources. Managers should create onboarding guides, short tutorials, and reusable playbooks that demystify complex systems. This ensures employees can learn independently and build confidence in using IT tools.
Encourage collaboration and knowledge sharing. By fostering open communication between technical and non-technical staff, managers help spread expertise across teams. Regular discussions and shared documentation reduce silos and improve problem-solving speed.
Model continuous improvement and innovation. Managers who evaluate new tools, gather user feedback, and refine workflows show that IT is a living system, not a static one. This mindset helps employees stay adaptable and proactive in leveraging technology for better results.

What questions could be included on a 360-degree survey that measure Information Technology?

The questionnaire items below will measure Information Technology. These questions are grouped into different facets of information technology. When creating a 360-degree or other performance assessment, try to select one or two items from each group.

Questions to include on your survey.

Core Technical Competencies

Core Technical Competencies focus on the craft of building, maintaining, and improving technology itself. This dimension is about the engineer's ability to design modular architectures, write clean and secure code, connect systems reliably, structure data effectively, test thoroughly, and document clearly. It reflects mastery of tools, languages, equipment, and engineering practices that ensure systems are robust, scalable, maintainable, and interoperable. Core Technical Competencies describe the technical depth, precision, and engineering judgment required to create and sustain high-quality IT systems.

Is skilled at applying secure coding practices, threat modeling, and vulnerability mitigation throughout the application lifecycle.
Writes clean, efficient, well-structured code using appropriate languages, frameworks, and tools.
Designs data structures, schemas, and flows that support application logic and analytics.
Knows how to repair the equipment in our department.
Knows how to develop and execute unit, integration, and acceptance tests to ensure reliability and performance.
Connects applications, APIs, and data sources reliably.
Knowledgeable about the software and equipment we use.
Understands the dependencies and interoperability of different software tools.
Produces clear technical documentation, diagrams, and handoff materials.
Creates modular, scalable, and maintainable system designs applying architectural patterns appropriately.

Service Orientation

Service Orientation focuses on the delivery of technology as a service to the organization. It emphasizes reliability, responsiveness, workflow design, operational efficiency, cross-team collaboration, and the ability to support employees and business partners effectively. This dimension is less about building the underlying systems and more about ensuring that those systems--and the processes around them--enable smooth operations, productive teams, and strong organizational performance. Service Orientation describes the experience, consistency, and operational excellence of IT service delivery, not the engineering craft behind the systems themselves.

Effectively develops new IT workflows and automated protocols that reduce manual effort and increase productivity.
Is effective in maintaining the equipment in my department.
Implements improved operational methods and system-support protocols that increase efficiency and strengthen service delivery.
Improves IT workflows and operational protocols that enhance team efficiency and overall productivity.
Designs and rolls out enhanced IT work practices and protocols that drive ongoing efficiency and productivity gains.
Works effectively with business partners, UX designers, QA, infrastructure, and data teams.
Responds to employee questions and inquiries in a timely manner.
Drives high-quality IT services that strengthen organizational performance and advance key priorities.
Delivers high quality IT services for the organization.
Delivers reliable, high-quality IT services that support the organization's needs and goals.

Knowledge Transfer

Knowledge Transfer focuses on how IT professionals spread understanding, build organizational capability, and reduce dependency on individuals. It's about making the organization smarter and more self-sufficient by sharing expertise, documenting clearly, teaching others, and ensuring continuity of knowledge. This dimension emphasizes practices like creating accessible documentation, offering training, enabling teams to work independently, and embedding learning into daily IT service delivery.

Creates onboarding materials and structured learning paths that help new IT staff quickly understand systems, workflows, and organizational standards.
Ensures that critical system knowledge (such as configurations, integrations, and architectural decisions) is documented and accessible so the team is never dependent on a single expert.
Actively shares knowledge to help the organization work smarter and more independently.
Facilitates cross-team learning sessions where engineers, analysts, and support staff share insights, tools, and lessons learned from recent projects or incidents.
Regularly mentors staff by walking them through complex incidents, explaining decisions, and ensuring they can independently handle similar situations in the future.
Offers IT training seminars that are relevant and informative.
Delivers high-quality IT services and fosters continuous learning through structured knowledge-transfer and information-sharing practices.
Delivers reliable IT services and maintains clear documentation and knowledge-sharing practices that strengthen organizational understanding and continuity.
Encourages team members to contribute to shared documentation repositories and recognizes those who improve clarity, accuracy, or completeness.
Creates reusable playbooks, templates, and technical guides that help teams solve recurring issues without needing escalation.
Delivers high-quality IT services and ensures strong knowledge transfer to support organizational learning and long-term capability.

Strategic Alignment

Strategic Alignment focuses on how IT decisions, architectures, and investments advance the organization's long-term goals and key initiatives. It's about ensuring that technology choices, enterprise architecture, modernization efforts, and operational strategies directly support business priorities, reduce risk, and deliver measurable value. This dimension emphasizes evaluating strategies, shaping roadmaps, aligning platforms with governance requirements, and deploying technology in ways that strengthen core objectives.

Deploys tech in ways that directly enable and strengthen core business objectives.
Assess department strategies and recommend adjustments to strengthen implementation of key initiatives.
Delivers increased value to the organization.
Is strategically positioned to meet the needs of the organization.
Develops an enterprise architecture strategy that guides modernization efforts and ensures scalable, future-ready technology solutions.
Creates an enterprise architecture strategy that ensures IT systems, standards, and platforms are aligned with organizational priorities and governance requirements.
Analyzes operational strategies to identify risks, gaps, and improvements needed to ensure successful implementation of key initiatives.
Guides technology decisions by what delivers the greatest value to the business.
Develops a comprehensive enterprise architecture strategy that aligns technology, systems, and processes with organizational goals.
Ensures key initiatives can be implemented effectively.
Creates an enterprise architecture strategy and roadmap that guides long-term technology planning and investment decisions.
Assesses the operational strategies that support the successful execution of important initiatives.

IT Resources

IT Resources focuses on how an IT organization positions, allocates, and adapts its people, tools, systems, and capacity to meet evolving business and technical needs. It's about ensuring the right resources are available at the right time--whether that means reallocating staff, scaling infrastructure, adjusting budgets, or shifting priorities to maximize operational impact. This dimension emphasizes anticipating future needs, aligning resources with strategic priorities, and making decisions that deliver the strongest return on effort and investment. In essence, IT Resources is about optimizing and deploying organizational capability so the business can operate effectively and adapt quickly.

Uses resources in ways that deliver the greatest operational impact.
Continually evaluates and adjusts IT resources to stay aligned with changing operational needs.
Anticipates changing needs and proactively aligns IT resources to meet them.
Adjusts IT resources to keep pace with evolving business and technical requirements.
Ensures IT resources are aligned to meet evolving needs and priorities.
Assigns resources to achieve the strongest return on effort and investment.
Strategically aligns IT resources to drive business priorities and outcomes.
Ensures resources and capabilities are positioned to support the organization's evolving demands.

IT Controls

IT Controls focuses on the frameworks, safeguards, and evaluation mechanisms that ensure systems operate securely, reliably, and in compliance with governance requirements. It emphasizes designing internal controls, monitoring system performance, using data-driven insights to assess risk, and maintaining the stability and resilience of critical systems. This dimension is less about where resources go and more about how systems are governed, protected, and validated. IT Controls ensures that technology environments remain compliant, predictable, and trustworthy through structured oversight and continuous assessment.

Has designed internal controls with appropriate tracking measures.
Establishes structured frameworks for evaluating IT controls and ensuring systems meet governance, security, and compliance requirements.
Has created systematic approaches for assessing the effectiveness of IT controls and the health, stability, and resilience of critical systems.
Implements automated monitoring and alerting mechanisms that detect control failures or deviations from expected system behavior.
Ensures that all control procedures (such as change management, backup validation, and incident logging) are consistently followed and fully documented.
Conducts periodic control-effectiveness assessments and updates control designs when systems, risks, or regulatory requirements change.
Builds data-driven frameworks for evaluating IT controls and system performance using logs, metrics, and monitoring insights.
Collaborates with security, compliance, and audit teams to validate that technical controls align with organizational governance frameworks and external regulatory standards.
Regularly reviews access permissions, system configurations, and audit logs to ensure controls remain effective and compliant with policy.
Has built effective frameworks for evaluating internal controls and systems.

Risk Management

Risk Management focuses on how an IT organization identifies, evaluates, and responds to risks across systems, processes, and operations. It emphasizes assessing severity levels, selecting appropriate response strategies, monitoring risk indicators, and using structured checklists to ensure vulnerabilities are caught early and IT controls are comprehensive. This dimension is about building a disciplined, repeatable approach to understanding exposure and reducing it through well-designed mitigation actions. Risk Management is concerned with the organization's overall risk posture, regardless of where the risk originates.

Uses risk-management checklists to proactively identify vulnerabilities and implement the IT controls needed to reduce exposure.
Develops appropriate risk response strategies.
Evaluates the risk impact of proposed changes, upgrades, or new technologies and adjusts implementation plans to minimize disruption or vulnerability.
Leverages standardized risk-management checklists to ensure IT controls are comprehensive, consistent, and aligned with organizational requirements.
Knows how to conduct risk severity level assessments.
Implements effective risk monitoring measures and responsibilities.
Conducts periodic reviews of system architectures, integrations, and configurations to identify emerging risks before they impact operations.
Collaborates with security, compliance, and infrastructure teams to validate that risk-mitigation actions are implemented correctly and remain effective over time.
Able to identify and implement appropriate risk responses.
Maintains a prioritized risk register that tracks exposures, owners, mitigation plans, and timelines to ensure accountability and follow-through.

Vendor Review

Vendor Review focuses specifically on the risks, performance, and compliance of third-party providers. It emphasizes conducting vendor-specific risk assessments, holding onboarding and performance-review meetings, ensuring vendors meet security and regulatory requirements, and maintaining strong oversight through established vendor-management tools and processes. This dimension is narrower and more operational: it deals with how external partners are evaluated, monitored, and held accountable to protect the organization's interests. While Vendor Review contributes to the broader risk picture, it is fundamentally about managing third-party relationships rather than enterprise-wide risk practices.

Leverages robust vendor-management systems and ensure full compliance with organizational and regulatory standards.
Facilitates routine vendor briefings and oversight meetings to ensure alignment and compliance.
Holds regular meetings with vendors to review performance, clarify expectations, and address risks.
Uses effective vendor-management tools and adheres to established compliance requirements.
Conducts regular vendor onboarding and performance-review meetings.
Conducts regular risk assessments as part of our vendor management and third-party oversight processes.
Evaluates vendor-related risks on an ongoing basis to ensure security, compliance, and operational reliability.

Acquisition Evaluation and Acceptance

Acquisition Evaluation and Acceptance focuses on the rigor of selecting, testing, and approving new software or systems before they enter the environment. It emphasizes structured evaluation against requirements, architectural fit, security and compliance standards, cost models, vendor maturity, and operational readiness. This dimension is about ensuring that what the organization acquires is reliable, high-quality, and aligned with long-term technical needs. It includes defining acceptance criteria, validating integrations and performance, coordinating defect remediation, and making informed go/no-go decisions. it governs how IT evaluates and certifies technology before adoption.

Knows how to assess vendor capabilities, product maturity, and support models to determine suitability for organizational needs.
Evaluates software options against functional requirements, technical standards, and long-term architectural fit.
Analyzes total cost of software ownership, licensing models, and implementation risks before recommending acquisition.
Validates that integrations, data flows, and system performance meet operational standards.
Documents defects, coordinates remediation with vendors, and ensures issues are resolved before final approval.
Leads the evaluation, testing, and approval of new software to ensure quality, fit, and readiness for organizational use.
Ensures proposed software aligns with security, compliance, and data-governance requirements.
Conducts thorough acquisition evaluations and acceptance testing to ensure software solutions meet business, technical, and compliance requirements.
Defines acceptance criteria and testing protocols to verify that the software meets required specifications.

Data Model

Data Model focuses on defining, validating, and securing agreement on how data is structured, interpreted, and used across the organization. It emphasizes engaging stakeholders, aligning on requirements, building consensus around data architecture decisions, and ensuring the model supports both operational and strategic goals. This dimension is fundamentally about creating a shared, accurate representation of the organization's data--its entities, relationships, flows, and intended uses--and ensuring everyone who depends on that data is aligned. Data Model is about designing the conceptual and structural blueprint for how data should work.

Translates complex business processes into clear data entities, relationships, and flows that technical teams can implement consistently.
Has built stakeholder consensus around data requirements and IT design decisions to ensure successful implementation.
Engages key business and technical stakeholders to validate and support the data model.
Collaborates with architects and engineers to validate that the data model supports scalability, integration needs, and long-term system evolution.
Maintains versioned data-model documentation and communicates changes so downstream systems and teams can adapt without disruption.
Ensures data definitions, schemas, and naming conventions are standardized across applications to prevent ambiguity and improve interoperability.
Has created a data model that supports the team's operating and strategic goals.
Secures stakeholder alignment on data requirements and system design decisions.
Obtains stakeholder commitment for the data architecture and its intended use.
Evaluates how proposed system changes, new applications, or integrations will impact existing data structures and adjusts the model to maintain coherence and accuracy.

Data Controls

Data Controls focus on the technical safeguards and enforcement mechanisms that ensure data is handled securely, consistently, and in compliance with governance and regulatory requirements. This includes access controls, authentication, retention and archival mechanisms, disposal policies, and the technical controls needed to demonstrate compliance. While a data model defines what the data is and how it should be structured, data controls define how that data must be protected, governed, and managed in practice.

Manages access controls, authentication, and system protections to ensure compliance with data governance policies.
Validates that backup, recovery, and failover processes meet organizational data-protection standards and are tested on a defined schedule.
Monitors data-handling workflows for policy violations and coordinates corrective actions to maintain compliance with governance and regulatory requirements.
Maintains and implements technical controls to enforce the data governance policies.
Maintains the technical controls and documentation needed to demonstrate compliance with data governance and regulatory standards.
Implements encryption, tokenization, and other data-protection mechanisms.
Implements the technical mechanisms that enforce data retention, archival, and disposal policies.
Regularly audits data access patterns and system permissions to ensure only authorized users can view, modify, or transmit sensitive information.
Implements and maintains the technical safeguards required to uphold data governance standards.

Data Governance

Data Governance focuses on the rules, roles, and operating model that define how data is owned, classified, protected, and managed across the organization. It emphasizes stewardship, accountability, regulatory compliance, and the strategic structures that guide how data flows, how it is used, and who is responsible for its quality and protection. This dimension is about creating clarity--clear ownership, clear policies, clear lifecycle expectations, and a consistent operating model that ensures data is handled responsibly and supports organizational decision-making. Data Governance defines the policies, roles, and guardrails that shape how data should be managed.

Maintains a data operating model that maps where data originates, how it moves through systems, and how it supports business processes.
Ensures data is classified, protected, and handled according to organizational policies and regulatory requirements.
Effectively leads the data governance program.
Provides leadership, strategic direction, and ensures data governance policies are developed and implemented.
Follows a defined data operating model that clarifies data sources, ownership, flows, and business use.
Operates under a clear data operating model that outlines data inputs, stewardship roles, and intended business uses.
Defines clear data ownership and stewardship roles to support accountability, quality, and consistent decision-making.
Uses a structured data operating model that specifies how data is captured, managed, and applied across the organization.

Data Integration

Data Integration focuses on the technical execution of combining data from multiple systems so applications, analytics, and business processes have consistent, high-quality information. It emphasizes harmonizing data from diverse sources, defining integration architectures and standards, troubleshooting complex data flows, and enabling enterprise insights through reliable pipelines. This dimension is about the engineering work that makes data usable across platforms and teams. In essence, Data Integration defines the technical mechanisms and architectures that move, transform, and unify data so it can support operational and strategic needs.

Integrates data from a variety of sources for applications and strategic insight.
Consolidates and harmonizes data from diverse sources to enable reliable applications and enterprise insights.
Manages data integration across platforms to ensure consistent, high-quality information for operational and strategic use.
Coaches teams in advanced technical concepts, helping them troubleshoot complex issues and strengthen long-term technical capability.
Integrates data from multiple systems to support applications, analytics, and strategic decision-making.
Provides technical direction by defining architectures, standards, and best practices that guide system design and implementation.

Analytical and Problem Solving

Analytical and Problem Solving focuses on the individual contributor's technical reasoning and diagnostic capability. It emphasizes how someone investigates system behavior, identifies root causes, translates business needs into technical requirements, applies SDLC or Agile practices, and collaborates across teams to resolve incidents. This competency is about the engineer's ability to think critically, break down complex issues, anticipate risks, and produce durable solutions. it reflects how a technologist analyzes, troubleshoots, and solves problems at a technical and operational level.

Analyzes system behavior and improve speed, scalability, and resource efficiency.
Identifies technical, operational, and security risks early and proposes mitigation strategies.
Translates business needs into clear, actionable technical requirements.
Diagnoses complex issues using structured methods--identifying root causes and long-term fixes.
Works with cross-functional teams (network, apps, security) to resolve incidents.
Knows how to applies SDLC or Agile practices consistently from design through deployment.

Technical Leadership Competency

Technical Leadership Competency focuses on guiding teams, shaping technical direction, and elevating organizational capability. It emphasizes defining architectures and standards, coaching developers, reviewing code, prioritizing work, designing IT policies and processes, aligning practices with governance requirements, and identifying strategic initiatives. This competency is less about solving a single problem and more about setting the conditions for others to solve problems effectively--through structure, strategy, mentorship, and long-term planning. It reflects the broader, organizational impact of someone who leads technology rather than simply executes it.

Ensures development practices align with security, data governance, and regulatory requirements.
Identifies strategic initiatives for the department.
Review the IT Department performance over the past year to determine best strategies for moving forward.
Coaches developers, reviews code, and builds team capability.
Relies on risk-management checklists to guide the development of IT controls that maintain system stability and reduce operational risk.
Defines architectures, coding standards, and best practices for the team.
Assesses tools, frameworks, and platforms for suitability, cost, and long-term value.
Designs and implements effective IT policies, processes, and procedures that strengthen departmental performance and impact.
Creates streamlined IT policies and processes that enhance overall efficiency and overall effectiveness.
Breaks work into manageable increments; estimates effort and prioritizes effectively.

Innovation and Continuous Improvement

Innovation and Continuous Improvement focuses on evolving existing systems, processes, and practices to make them better over time. It emphasizes identifying inefficiencies, reducing incidents, improving workflows, adopting new tools or patterns, incorporating user feedback, and staying current with industry trends. This dimension is about ongoing enhancement rather than pre-deployment evaluation. It includes participating in post-incident reviews, proposing architectural or process changes, and advocating for improvements that increase stability, usability, or productivity. In essence, it governs how IT learns, adapts, and improves after systems are already in place.

Stay current with industry trends, languages, and best practices.
Advocates for architectural or process changes that reduce risk.
Participates in post-incident reviews and contributes to action items.
Identify inefficiencies and propose enhancements to workflows, tools, or architecture.
Evaluates new tools, frameworks, and patterns for potential adoption.
Incorporates user feedback, usability principles, and accessibility standards.
Identifies opportunities to reduce incident volume and improve stability.

Issues and Trends Analysis

Issues and Trends Analysis focuses on understanding patterns, underlying causes, and systemic behaviors across incidents and operational data. It emphasizes deep root-cause analysis, distinguishing symptoms from true drivers, validating findings with experts, monitoring logs and metrics for anomalies, and reviewing incident data to identify recurring or high-impact trends. This competency is about building a clear, evidence-based understanding of why issues happen and what long-term corrective actions, owners, and resources are needed. it is analytical, retrospective, and systemic--concerned with preventing recurrence and improving the environment over time.

Conducts root-cause analysis of issues and coordinate the necessary technical actions, resources, and teams to implement effective solutions.
Ensures tickets are traceable and auditable.
Reviews incident data to identify systemic issues.
Analyzes incidents to trace issues to their true technical root cause and defined the corrective actions, resources, and owners needed to resolve them.
Investigates underlying causes of recurring or high-impact incidents.
Distinguishes between symptoms and true root causes.
Conducts structured root-cause analysis of technical incidents to identify underlying issues and determine the appropriate remediation steps and resources.
Monitors logs, alerts, and performance metrics for anomalies.
Records incidents with complete, clear, and accurate details.
Validates findings with technical experts and stakeholders.
Uses structured RCA techniques (5 Whys, fishbone diagrams, fault trees).
Applies correct categories, priorities, and service levels to service requests.

Troubleshoot/Triage/Prioritize

Troubleshoot/Triage/Prioritize focuses on real-time response, containment, and service restoration. It emphasizes initial diagnostics, gathering logs and error details, assessing severity and business impact, escalating appropriately, applying structured troubleshooting methods, and implementing temporary workarounds to restore service quickly. This competency is about fast, accurate decision-making under pressure--routing issues to the right teams, leading bridge calls, and isolating likely causes. It is operational, immediate, and action-oriented--concerned with stabilizing the environment and restoring functionality as quickly as possible.

Gathers logs, screenshots, and error messages.
Leads or facilitates bridge calls for major incidents.
Escalate high-impact incidents immediately and appropriately.
Implements temporary workarounds when needed to restore service quickly.
Performs initial diagnostics to narrow down issues.
Uses diagnostic tools, logs, and known-error databases to identify likely causes.
Applies structured troubleshooting methods to isolate issues.
Provide temporary workarounds when possible.
Routes issues to the correct support tier or resolver group.
Troubleshoots issues to get to the root cause of the problem.
Assess incident severity based on business impact and urgency.

Resolution and Closure

Resolution and Closure focuses on successfully completing the technical work of restoring service and ensuring the issue is fully resolved. It emphasizes applying known solutions, avoiding unnecessary escalations, confirming with the user that the problem is fixed, documenting actions for future reference, and recognizing recurring patterns that may signal deeper issues. This competency is about bringing incidents to a clean, reliable end--using scripts, diagnostic tools, and knowledge articles to resolve common problems and ensuring the ticket is closed only when the user's needs are truly met. it reflects the discipline of finishing issues thoroughly and accurately.

Confirms service restoration with the user before closing the ticket.
Ensures every ticket includes clear resolution notes, including steps taken, tools used, and final verification results so future technicians can understand the fix without re-diagnosing the issue.
Closes incidents only after confirming that no follow-up actions, escalations, or monitoring tasks remain outstanding, ensuring nothing is left unresolved.
Uses scripts, knowledge articles, and diagnostic tools to effectively address the needs of users.
Identifies recurring patterns that may indicate underlying problems.
Validates that temporary workarounds are replaced with permanent solutions, ensuring long-term stability rather than short-term fixes.
Communicates final resolution details to users in clear, non-technical language, confirming they understand what was fixed and any next steps they may need to take.
Verifies that dependent systems, integrations, or user workflows function correctly after a fix.
Avoids unnecessary escalations by applying known solutions.
Ensures documentation is complete for future reference.
Resolves common issues (password resets, access requests, basic troubleshooting).

Knowledgebase Contributions

Knowledgebase Contributions focuses on capturing, improving, and maintaining the organization's shared technical memory. It emphasizes documenting known errors, updating troubleshooting guides, identifying gaps in support materials, and ensuring lessons learned are accessible to service desk and support teams. This competency is about strengthening self-service, reducing repeat incidents, and making sure knowledge is accurate, current, and easy to use. it reflects how well someone contributes to the documentation ecosystem that helps the whole organization solve problems more effectively.

Updates or flags outdated knowledge content.
Maintains good documentation on any changes or issues.
Ensure lessons learned are shared with service desk and support teams.
Updates troubleshooting guides and runbooks.
Shares insights from user interactions to improve support materials.
Identifies gaps in documentation and suggests new articles.
Documents known errors and workarounds in the knowledge base.

Clear and Timely Communication

Clear and Timely Communication focuses on how information flows during the lifecycle of an incident or change. It emphasizes documenting symptoms and actions, providing accurate handoffs between teams or shifts, explaining technical concepts in accessible language, keeping users informed of status and timelines, and ensuring departments stay aligned on major software changes. This competency is about maintaining clarity, transparency, and continuity so that everyone involved--technical teams, leaders, and end users--understands what is happening. In essence, it reflects the communication behaviors that keep incidents coordinated, predictable, and well-managed.

Explains technical concepts clearly to non-technical audiences.
Documents actions taken, symptoms observed, and resolution steps.
Provides users with status updates and expected resolution timelines.
Maintains communication between departments.
Keeps the department informed of major changes to the software applications being used.
Communicates incident details clearly to technical teams.
Ensures handoffs between shifts or teams are complete and accurate.

Customer Focused Support

Customer Focused Support centers on the quality of the interaction and the user's experience when seeking help. It emphasizes listening carefully, responding quickly, being patient and professional, setting realistic expectations, and following issues through to permanent resolution. This competency is about understanding user context, providing both immediate help and long-term fixes, and coordinating with technical teams to ensure meaningful remediation. Customer Focused Support reflects how well an IT professional supports, communicates with, and advocates for the user throughout the lifecycle of an issue.

Provides courteous, patient, and professional assistance.
Listens attentively to understand user issues and context.
Recommends effective long-term fixes, design changes, or process improvements.
Works with technical teams to prioritize remediation efforts.
Usually has the answers when I need help.
Responds quickly when equipment or software breaks down.
Tracks progress on problem tickets until permanent resolution is achieved.
Provides adequate support when needed.
Sets realistic expectations for resolution and follow-up.
Is quick to respond to issues.

Service Desk

Service Desk focuses on the operational execution of Tier 1 support functions--processing requests, following workflows, escalating appropriately, and ensuring accurate, complete handoffs. It emphasizes timely service delivery, adherence to procedures, correct routing, and tracking escalated tickets to closure. This competency is less about the interpersonal experience and more about the structured, process-driven mechanics of running an effective front-line support function. While Customer Focused Support is about the quality of support, Service Desk is about the precision and reliability of the support operation.

Escalates issues promptly when beyond Tier 1 capability.
Tracks escalated tickets and ensures follow-through.
Provides complete information to higher-tier teams.
Follows defined workflows and approval processes.
Ensures timely and accurate delivery of requested services.
Quickly processes standard requests (software installs, access provisioning).

Expertise

Expertise focuses on the influence, credibility, and trusted relationships an IT professional builds across the organization, especially with senior leadership. It emphasizes being approachable, collaborating closely with executives, supporting enterprise priorities, and maintaining strong, trust-based partnerships. This competency is not about documentation--it's about being a recognized, reliable source of insight and guidance whose judgment shapes decisions and whose presence strengthens organizational alignment.

Works closely with others when there is an IT issue.
Maintains strong, trust-based partnerships with senior leaders across the organization.
Collaborates closely with senior leadership to support organizational priorities.
Cultivates effective, high-trust relationships with senior leadership to advance enterprise goals.
Establishes credibility and strong working relationships with senior executives.
Is easy to approach with a work-related problem.

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