HR-Survey > Employee Opinion > Dimensions

Survey Questions: Technology Use/Management

Definition: Technology Use/Management is the ability to implement new technologies effectively while guiding people through the behavioral, cultural, and operational transitions required for successful adoption. It involves integrating systems across teams, evaluating risks and benefits, and applying analytical insight to ensure technology strengthens workflows and reduces delays or errors. It requires optimizing processes, governing technology use responsibly, allocating resources strategically, and measuring outcomes so investments deliver meaningful operational and strategic value. It also includes developing staff capabilities, shaping a culture of innovation, and aligning roles, training, and communication so employees can confidently use and sustain new digital tools.

Implements

Implements focuses on the technical execution of new tools and systems--putting technology into practice, configuring it, scaling it, and using it to solve problems or increase productivity. A manager strong in this area turns prototypes into real products, applies best practices, deploys AI and automation, builds flexible technical solutions, and ensures the team is proficient with the systems they use. The emphasis is on building, applying, and operationalizing technology so it delivers tangible improvements in engineering, production, compliance, or service delivery. Implements is fundamentally about making the technology work--getting it installed, optimized, and producing results.

The project leader understands and is committed to implementing new technologies.
Our team turns pilot and prototype ideas into full products.
The team leader implements automated code generation and testing.
Managers promote transparent communication about upcoming technology changes.
Our manager adopts best practices for technology use.
My team adopts the implementation of new technology into the workplace.
Our team implements AI throughout the production process.
My division uses technology to boost engineering productivity.
My department develops strategies to maximize implementation of technical solutions to problems.
Our team is proficient in the use of technical systems and processes.
The project manager maximizes the use of new technology to deliver products and services.
My team leader implements technology controls to reduce costs and meet compliance needs.
My manager creates flexible solutions to problems by maximizing the use of new technology.

Facilitates Tech Change

Facilitates Tech Change focuses on the human and organizational transition required for technology to take hold and succeed. A manager strong in this area prepares people for change, communicates early and clearly, addresses resistance, creates transition plans, gathers real-time feedback, and supports employees through rollout and stabilization. The emphasis is on aligning workflows, roles, expectations, and behaviors so the workforce can absorb the change without disruption. Facilitates Tech Change is fundamentally about making the change stick--ensuring people understand, accept, and effectively adopt the new technology.

Managers recognize and reinforce early positive behaviors such as successful adoption, creative problem-solving, or peer support.
Our department gathers real-time feedback during rollout (through surveys, check-ins, or user groups) and adjusts the implementation plans to address emerging issues before they escalate.
The project manager prepares teams for transitions by outlining expected impacts on workflows, roles, and responsibilities.
The company ensures leaders and supervisors are equipped to support their teams by providing talking points, FAQs, and guidance on how to coach employees through the change.
My manager creates clear transition timelines and milestones so employees understand when changes will occur and what actions are expected at each stage.
Managers identify source of resistance and proactively address concerns to maintain momentum.
Supervisors ensure post-implementation stabilization by monitoring adoption, resolving issues, and reinforcing new practices.
My department aligns technology changes with existing policies, workflows, and performance expectations.
Senior executives coordinate with HR, IT, and leadership to align change activities across the organization.
My team leader communicates upcoming technology changes early and clearly.
My team leader provides structured support during rollout (such as office hours, pilot groups, or transition guides) to reduce disruption.

Integration

Integration focuses on how systems, data, tools, and digital processes connect across the organization so work can move seamlessly from one team, platform, or function to another. A manager strong in Integration ensures interoperability, aligns system upgrades, standardizes practices, embeds AI into production and design, and reduces silos by enabling enterprise-wide data flow and collaboration. The emphasis is on building a unified digital ecosystem--shared structures, shared language, shared platforms--so technology functions as one coordinated whole. Integration is fundamentally about connecting and harmonizing the technical environment so the organization operates smoothly end-to-end.

Our department integrates technology effectively into the work environment.
My manager fosters an environment that minimizes the impact of disruptive technological changes within the department.
The project leader standardizes technology practices across teams and locations, ensuring that shared systems, naming conventions, data structures, and communication channels function as a unified ecosystem.
My manager integrates AI usage across various sectors and divisions enabling new capabilities.
The project manager prioritizes digital transformation in the department.
Managers ensure data, tools, and process are interoperable, reducing duplicate work and enabling teams to move seamlessly across platforms during daily operations.
Supervisors work with it and process owners to close gaps that slow down collaboration or decision-making.
Colleagues integrate AI in the design and production processes.
My manager adopts new methods of communicating with employees.
Managers use technology in decision making and problem solving.
My team leader ensures technology initiatives are integrated across departments, reducing silos and enabling enterprise-wide data flow, collaboration, and decision-making.
The supervisor maps end-to-end workflows to identify where systems must connect.
Our department coordinates system upgrades and integrations to align downstream tools, roles, and processes.

Evaluates

Evaluates focuses on judgment, comparison, and determining value--it is about deciding whether a technology is worth adopting, improving, or replacing based on evidence, standards, and strategic fit. A manager operating in this mode reviews current usage, benchmarks tools against best practices, weighs cost/benefit and risk, validates vendor claims, and determines whether technologies deliver expected value or need adjustment. The emphasis is on making informed choices about what to invest in, what to scale, and what to retire, ensuring that technology decisions support long-term scalability, competitiveness, and departmental needs. Evaluates is fundamentally about deciding what should happen next with the technology.

My manager benchmarks current tools against industry best practices and emerging technologies to identify gaps, modernization opportunities, and competitive advantages.
Our manager redefines technology use metrics and governance.
My department assesses the cost/benefit and risks associated with implementing technology.
My manager reviews technical requirements, integration needs, and vendor claims to validate that proposed technologies meet functional, security, and compliance standards for the department.
The company evaluates the long-term scalability, sustainability, and total cost of ownership of technology options.
The company encourages teams to experiment with new tools and approaches.
Our team selects appropriate technology solutions to meet the department needs.
My manager identifies areas where AI can have the greatest impact on production capabilities.
The project manager evaluates team capacity to absorb new technology work (such as testing, piloting, data cleanup, or system transitions) and adjusts assignments to prevent overload during digital change.
The project lead monitors performance data, user feedback, and system outcomes to determine whether current technologies are delivering expected value.
My manager evaluates operational workflows to determine where technology can meaningfully improve efficiency, accuracy, or throughput.
Managers assess current technology usage and implementation.
The project manager selects the appropriate technology to meet the needs of the team.
Our team evaluates technology decisions through a strategic lens of scalability, adaptability, and competitive advantage.
Our department assesses whether existing tools can be enhanced, reconfigured, or better utilized before recommending new investments.

Analytical

Analytical focuses on deep examination, interpretation, and understanding of underlying patterns--it is about diagnosing why something is happening, predicting impacts, and uncovering insights that inform decisions. A manager strong in this area models downstream effects, analyzes bottlenecks, conducts root-cause investigations, interprets performance and incident data, applies complex rules, and uses forecasting or scenario analysis to understand future implications. The emphasis is on rigorous analysis, data-driven insight, and system-level thinking that reveals risks, opportunities, and causal relationships. Analytical is fundamentally about making sense of the data and system behavior so that later decisions--whether evaluative, strategic, or operational--are grounded in a clear understanding of how technology actually performs.

Our department analyzes the feasibility, risks, and organizational readiness for adopting new technologies, including skills, processes, and cultural factors that influence successful implementation.
My team establishes KPIs to measure AI adoption rates.
Leaders analyze workflow bottlenecks to determine where technology can meaningfully reduce delay or errors.
Our team uses scenario analysis and forecasting tools to compare technology options when making strategic decisions.
Managers use AI tools to synthesize data and documents.
My supervisor conducts root-cause analysis on technology-related failures or inefficiencies, distinguishing between system issues, process gaps, and user-driven errors before recommending solutions.
Colleagues assess the downstream impact of technology decisions, modeling how change in one system will affect data quality, workflow timing, staffing needs, or compliance requirements.
The project lead evaluates patterns in cross-system data (e.g., throughput, error rates, cycle times) to identify where technology can create measurable performance gains or reduce operational risks.
My manager tracks the percentage of code generated with AI assistance by the team.
Our manager analyzes user feedback, performance data, and incident trends to determine whether technology is improving outcomes.
My manager anticipates changes caused by the introduction of new technology to company problems.
My supervisor is able to apply complex rules and regulations to maintain optimal system performance.

Workflow Optimization

Workflow Optimization focuses on improving how work actually gets done within those systems--the steps, sequences, handoffs, and user experience that determine operational performance. A manager strong in Workflow Optimization identifies bottlenecks, engages frontline employees, redesigns processes, tests configurations, automates repetitive tasks, and uses workflow data to refine speed, accuracy, and quality. The emphasis is on reducing friction, eliminating unnecessary steps, and ensuring technology simplifies work rather than complicating it. Workflow Optimization is fundamentally about refining and elevating the work process itself, ensuring that people, tasks, and tools flow efficiently and effectively.

Our team ensures that redesigned workflows maintain compliance, quality standards, and auditability.
Our department redesigns processes to take advantage of automation, analytics, or digital collaboration tools.
My manager analyzes existing workflows to identify inefficiencies that can be improved through technology.
My team identifies manual, repetitive, or error-prone tasks that can be automated, freeing staff time for higher-value work and reducing operational friction.
The project manager refines processes as new capabilities or insights emerge.
The project leader tests multiple workflow configurations or tool settings to determine which arrangement produces the most efficient, accurate, or user-friendly process.
Our manager engages frontline employees in diagnosing workflow issues, ensuring optimization efforts reflect real operational needs rather than assumptions.
Our manager uses workflow data (such as cycle times, error rates, or throughput) to guide continuous refinement.
Managers coordinate workflow change across interconnected teams or departments, preventing bottlenecks or misalignment.
The company measures the impact of workflow changes to confirm improvements in speed, accuracy, or quality.
Team members ensure that technology solutions simplify work rather than adding unnecessary step or complexity.
The supervisor collaborates with teams to map new workflows.

Governance and Responsible Use

Governance and Responsible Use focuses on protecting the organization--its data, its people, and its ethical standards--by ensuring technology is used safely, legally, and responsibly. A manager strong in this area enforces privacy and security protocols, audits technology practices, sets expectations for responsible AI use, and intervenes early when misuse or risky behavior appears. The emphasis is on compliance, ethical stewardship, and safeguarding the organization from harm by aligning daily technology behaviors with policies, regulations, and digital-ethics principles. Governance and Responsible Use is fundamentally about guardrails that keep technology trustworthy, compliant, and safe.

Our department ensures third-party tools, plugins, and AI services used by the team meet security, privacy, and compliance criteria.
Senior executives establish team norms for communication platforms, file sharing, and digital collaboration.
The project manager conducts periodic audits of team technology practices to verify that data access, storage, and sharing behaviors align with organizational standards and regulatory requirements.
Managers monitor technology usage to ensure compliance with security and access protocols.
Our manager sets clear expectations for responsible AI use, including when human oversight is required, how outputs should be validated, and what types of decisions should never be delegated to automated systems.
My department reinforces ethical guidelines for AI, automation, and digital tools within the team.
My manager ensures employees follow organizational policies for data handling, privacy, and responsible technology use.
Team members identify misuse or risky practices and intervene early to prevent issues.
Employees in my department provide regular training and refreshers on digital ethics, cybersecurity hygiene, and responsible data stewardship.
My manager partners with IT or compliance teams when governance concerns arise.

Strategic

Strategic focuses on positioning the organization for long-term advantage by using technology to shape future capabilities, operating models, and competitive strength. A manager strong in this area builds multi-year roadmaps, anticipates technological trends, identifies strategic risks and opportunities, and frames technology adoption as a driver of transformation rather than a tactical upgrade. The emphasis is on aligning technology investments with mission and future needs, redesigning processes for strategic impact, and ensuring the organization stays ahead of industry shifts. Strategic is fundamentally about direction--using technology to move the organization where it needs to go in the long run.

Our department aligns technology investments with organizational strategy, mission, and future capability needs.
My manager leverages technology use to improve operational efficiency.
The company champions digital transformation as a core strategic priority.
Our team views and adopts technology as a strategic priority.
The project lead uses technology to redesign processes and operating models, rather than simply digitizing existing workflows.
Leaders identify strategic risks associated with technological stagnation or outdated systems.
Our team anticipates how technological trends (such as automation, AI, or data analytics) will reshape workflows, roles, and customer expectations.
Our department creates accelerated release cycles.
Managers frame technology adoption as a strategic opportunity rather than a burden.
Managers build multi-year technology roadmaps that sequence upgrades, integrations, and capability development.
The project manager identifies long-term business opportunities that can be unlocked through emerging technologies.

Resources

Resources focuses on supplying and stewarding the inputs--budget, tools, expertise, staffing, and infrastructure--that make technology usable and sustainable in day-to-day operations. A manager strong in this area acquires and deploys technology efficiently, reallocates funds away from low-value tools, ensures employees have access to the right systems, partners with IT and vendors to solve complex needs, and plans for the full lifecycle of technology assets. The emphasis is on equipping the organization with what it needs right now and ensuring those resources remain reliable, supported, and cost-effective over time. Resources is fundamentally about providing and managing the capacity required for technology to function.

My division reallocates resources away from redundant or underperforming technologies, redirecting support toward solutions that improve productivity and outcomes.
Leaders promote investments in technology adoption and integration to enhance operation effectiveness.
The project manager uses technology to optimize supply chains and acquisition of resources.
The project leader is able to allocate resources as needed to procure new technology.
The members of my team ensure employees have the access, tools, and training needed to fully leverage available technologies.
Team members help make sure employees have access to latest technology.
My manager directs budget, staffing, and time toward technology initiatives that deliver the highest operational impact.
The department head coordinates with procurement, finance, and IT to efficiently acquire and deploy technology, reducing delays and ensuring responsible use of organizational funds.
The company plans for the full lifecycle of technology resources (including maintenance, upgrades, and sustainability costs) to ensure long-term reliability and performance.
My manager works with the IT department to create innovative solutions to meet customer needs.
Managers leverage internal and external expertise (such as cross-functional partners, vendors, or consultants) to support complex technology needs.

Outcomes and ROI

Outcomes and ROI focuses on measuring whether those resources and investments actually produced value--operationally, financially, or strategically. A manager strong in this area defines success metrics, tracks adoption and performance, benchmarks against industry standards, quantifies gains such as time savings or error reduction, and identifies hidden costs or unintended consequences. The emphasis is on validating impact, informing future decisions, and using evidence to scale, modify, or retire technologies based on the value they deliver. Outcomes and ROI is fundamentally about proving and improving the return on the technology resources the organization has invested in.

Leaders track adoption rates, usage patterns, and performance outcomes to evaluate effectiveness.
My team communicates results to leadership to inform future technology decisions.
My manager benchmarks technology performance against industry standards or peer organizations, ensuring the organization remains competitive and aligned with best practices.
My manager identifies unintended consequences or hidden costs (such as increased support needs, workflow disruptions, or data-quality issues) and adjusts plans to protect ROI.
Our manager uses outcome data to refine technology governance, training, or workflow design, ensuring that improvements compound over time.
The supervisor quantifies the time savings, error reduction, or productivity gains resulting from new technologies and uses these insights to justify future investments.
The project lead translates technical outcomes into business-relevant insights so leaders can clearly understand the value, risks, and tradeoffs associated with technology decisions.
Our team uses data to recommend scaling, modifying, or retiring technologies based on value delivered.
My team leader defines clear success metrics for technology initiatives before implementation.
Our manager identifies whether technology investments are producing expected operational or customer benefits.
The project manager conducts post-implementation reviews with stakeholders to determine whether the technology delivered the intended operational, financial, or customer-experience improvements.
Our team incorporates lessons learned into future technology planning and implementation.

Staffing

Staffing focuses on structuring and positioning the workforce so the organization has the right people, roles, and technical capabilities to support current and emerging technologies. A manager strong in Staffing anticipates how automation or AI will shift responsibilities, recruits or redeploys talent with the right backgrounds, assigns people to initiatives based on strengths, and builds internal "technology champions" who can guide others. The emphasis is on role clarity, workforce composition, morale, and ensuring the team has the human capacity to absorb technological change. Staffing is fundamentally about who does the work and ensuring the organization has the right mix of talent to implement and sustain technology.

My supervisor creates opportunities for staff to participate in technology pilots, evaluations, or design sessions.
My supervisor monitors how technology changes affect team morale, workload, and confidence, and intervenes early with coaching, support, or workload adjustments to maintain engagement.
My team identifies the technical skills required for current and emerging technologies and ensures the team has the right mix of talent to support them.
The project leader assigns staff to technology initiatives based on strengths, expertise, and developmental needs.
Managers ensure technology responsibilities are clearly defined within job roles.
My manager selects staff with appropriate technical backgrounds.
The team leader collaborates with HR and IT to recruit or develop talent with specialized technical capabilities, ensuring the department can implement and maintain key systems.
Managers anticipate staffing impact of new technologies, such as automation or AI, and proactively plan for role shifts, reskilling, or redeployment.
My manager builds internal "technology champions" or super-users who can mentor peers, model effective use, and provide first-line support during and after implementation.
The project manager creates staffing plans that align with long-term technology roadmaps.

Training and Development

Training and Development focuses on building the skills of the people already in those roles so they can confidently use, adapt to, and innovate with new technologies. A manager strong in this area identifies skill gaps, designs targeted development plans, provides ongoing upskilling, supports employees who struggle with new tools, and encourages cross-functional knowledge sharing to build collective capability. The emphasis is on learning, growth, AI fluency, and ensuring employees have the time, resources, and support needed to master evolving digital demands. Training and Development is fundamentally about how people grow in the work, ensuring the workforce continuously develops the competencies required for successful technology adoption.

My manager supports employees who struggle with new technologies by providing coaching, resources, or peer support.
Our department encourages cross-functional knowledge sharing about effective technology practices.
Leaders support technical training and development of employees.
My manager encourages knowledge sharing among staff to build collective technical capability, reducing reliance on single points of expertise.
Our team increases AI fluency in the department.
Our department supports employee training and development initiatives regarding implementation of technology.
Managers train employees how to use software applications.
Managers encourage learning new technologies.
My supervisor provides comprehensive AI education for the team to ensure high levels of adoption and usage.
My manager adapts training to keep up to date with changes in technology.
My supervisor ensures employees receive ongoing training and upskilling opportunities so they can confidently use new tools and adapt to evolving digital demands.
My manager identifies gaps between actual and needed technical competencies and provides recommendations for required training.
The team leader ensures workload distribution includes the time required to learn, test, and adopt new technologies.
The team leader trains customers/clients how to use software applications.
My division identifies skill gaps created by new tools or automation and partners with HR or Learning Teams to design targeted development plans that prepare employees for evolving roles.

Culture

Culture focuses on the mindsets, norms, and shared behaviors that shape how people relate to technology and how they feel about adopting it. A manager strong in Culture builds enthusiasm for digital tools, celebrates early adopters, creates innovation spaces, models openness to new technologies, and removes fear-based or outdated attitudes that slow adoption. The emphasis is on psychological readiness, curiosity, experimentation, and a collective belief that technology is a driver of growth and differentiation. Culture is fundamentally about how people think about and embrace technology as part of their identity and daily work.

The project manager promotes a culture of continuous digital learning.
Our department celebrates early adopters and showcases successful technology use cases.
The company recognizes and addresses cultural barriers to technology use, such as resistance, fear, or outdated norms.
My manager creates an environment of rapid software development/innovation and release cycles.
Our team develops a culture of digital transformation driving higher rates of AI adoption and usage.
The supervisor models openness to new digital tools by using them personally.
Our team builds collaborative spaces--such as user groups, pilot teams, or innovation circles.
My manager frames technology as a lever for innovation, growth, and differentiation.