Work Analysis, Job Design and Strategic Workforce Planning

Introduction and Context

Human resource strategy begins with a deceptively simple question: what work must be done, by whom, and under what conditions? Work analysis identifies the activities, responsibilities, relationships, competencies, and contextual conditions associated with work. Job design determines how those activities are organized into roles. Strategic workforce planning connects this analysis to the organization’s future requirements by comparing anticipated labor demand with the available supply of people and capabilities.

These activities are not merely administrative. They influence productivity, employee motivation, safety, legal compliance, organizational agility, inclusion, and the quality of strategic execution. Poorly analyzed jobs may produce ambiguous accountability, inappropriate selection criteria, excessive workload, and weak performance management. Conversely, carefully designed work can improve both operational reliability and employee well-being.

A contemporary organization must also analyze work beyond traditional permanent jobs. Digital platforms, artificial intelligence, project teams, remote work, contractors, professional partnerships, and contingent labor have blurred the boundaries of the employment relationship. The central managerial task is therefore to create a workforce architecture that is productive, ethical, adaptable, and aligned with organizational purpose.

Learning Objectives

By the end of this chapter, students should be able to:

1. Distinguish work analysis, job analysis, job description, job specification, and competency analysis.
2. Apply systematic methods for collecting and validating job information.
3. Compare scientific management, the job characteristics model, and sociotechnical perspectives on job design.
4. Design work that balances efficiency, motivation, flexibility, safety, and employee well-being.
5. Forecast labor demand and supply using appropriate quantitative and qualitative methods.
6. Diagnose skills gaps and evaluate restructuring and alternative workforce arrangements.
7. Assess the ethical, legal, technological, and governance implications of workforce planning.

1. Foundations: From Work to Workforce Capability

Work analysis and job analysis

Work analysis is the broad study of how organizational activities create value. It considers workflows, outputs, technologies, interdependencies, and the capabilities required across roles. Job analysis is narrower: it systematically examines the duties and requirements of a particular job or role. In practice, the terms are sometimes used interchangeably, but the distinction is useful. Work analysis is especially important for team-based, project-based, and fluid organizations where work does not fit stable job boundaries.

A job description normally states what the jobholder does: purpose, duties, responsibilities, reporting relationships, authority, working conditions, and performance outputs. A job specification states what the jobholder must bring: knowledge, skills, abilities, other characteristics, experience, qualifications, and sometimes physical or behavioral requirements. A competency model describes the observable capabilities associated with effective performance across one job, a job family, or an entire organization.

The distinction between tasks and competencies is fundamental. A task is an activity, such as preparing a financial forecast. A competency is a capability, such as analytical judgment, that enables effective performance across several activities. Task lists can become obsolete when technology changes; well-designed competency models focus on enduring value while remaining sufficiently specific for selection and development.

Work, jobs, roles, and occupations

A job is a bundle of assigned responsibilities performed by one person. A role emphasizes expected contributions within a social or organizational context. An occupation is a broader category of related work across employers, such as nursing or software engineering. A job family groups roles requiring similar knowledge and career pathways. These distinctions support workforce planning because labor demand may be expressed in jobs, full-time equivalents, occupational categories, or capabilities.

The analytical process

A defensible analysis generally follows these steps:

1. Clarify the purpose. Recruitment, redesign, pay evaluation, training, restructuring, safety, and legal compliance require different levels of detail.
2. Define scope and stakeholders. Include jobholders, supervisors, customers, technical specialists, HR professionals, and—in safety-sensitive work—health and safety representatives.
3. Collect evidence. Use interviews, observation, questionnaires, work diaries, critical incidents, document review, workflow analysis, and performance data.
4. Analyze tasks and outputs. Identify frequency, importance, difficulty, discretion, dependencies, tools, and consequences of error.
5. Identify competencies. Separate essential requirements from trainable or preferred attributes.
6. Validate findings. Check accuracy with incumbents, managers, subject-matter experts, and relevant employee representatives.
7. Document and govern. Record methods, assumptions, revision dates, ownership, and approval processes.

No single method is universally superior. Observation is valuable for visible manual work but weak for infrequent cognitive tasks. Interviews reveal judgment and context but may be affected by memory and self-presentation. Questionnaires permit comparison across many jobs but may oversimplify complex work. Critical-incident methods identify behaviors associated with unusually effective or ineffective performance, but they may underrepresent routine activities.

Competency analysis

Competency analysis can be conducted through behavioral event interviews, expert panels, structured observations, assessment data, and analysis of strategic capabilities. A useful competency statement specifies a capability and its behavioral evidence. For example, “collaboration” is vague; “integrates conflicting stakeholder requirements and documents agreed decisions” is more assessable.

Competencies should be classified carefully. Technical competencies concern domain knowledge and procedures. Behavioral competencies concern observable patterns such as influencing, ethical judgment, or learning agility. Foundational competencies may apply to all employees, whereas role-specific competencies distinguish particular jobs. Overly long competency dictionaries create administrative burden and encourage superficial rating. A smaller set of validated, behaviorally anchored competencies is generally more useful.

2. Job Design Perspectives

Job design answers how tasks, authority, information, technology, and relationships should be arranged. It is both an operational and a human process. Three perspectives are particularly influential.

Scientific management and efficiency design

Scientific management, associated with Frederick Taylor, emphasized systematic task analysis, standardization, specialization, measurement, and the separation of planning from execution. Its contribution was to demonstrate that work methods could be studied rather than accepted as fixed tradition. Standard operating procedures, process engineering, training based on defined methods, and productivity measurement remain useful applications.

However, a narrow efficiency approach can create monotonous work, reduce autonomy, suppress employee knowledge, and encourage unsafe work intensification. Contemporary application should therefore treat standardization as a tool rather than an ideology. Standardize where consistency, quality, or safety is essential; allow discretion where local knowledge, judgment, innovation, and customer adaptation create value.

The Job Characteristics Model

Hackman and Oldham’s Job Characteristics Model proposes that five core job characteristics influence three critical psychological states and, in turn, outcomes such as internal motivation, satisfaction, quality, and lower absenteeism. The core characteristics are:

• Skill variety: use of different skills and activities.
• Task identity: completion of a whole, identifiable piece of work.
• Task significance: perceived impact on others.
• Autonomy: freedom in scheduling and methods.
• Feedback: direct information about performance.

The model often represents motivating potential through the following index:

Here, MP is motivating potential, SV is skill variety, TI is task identity, TS is task significance, A is autonomy, and F is feedback. Scores must be measured on the same numerical scale. The equation is a conceptual index, not a universal law or a precise causal estimator. Because autonomy and feedback are multiplicative, a very low score on either can substantially reduce the index. The model also proposes that growth-need strength and contextual factors moderate outcomes.

Illustration. Suppose each characteristic is rated from 1 to 7: SV = 5, TI = 4, TS = 6, A = 2, and F = 6. Then:

The result is meaningful only for comparison with jobs assessed using the same scale and method. It does not prove that redesigning autonomy alone will produce a particular productivity increase.

Typical redesign interventions include horizontal enlargement, vertical enrichment, job rotation, team-based work, direct feedback systems, and giving employees responsibility for planning and quality. Redesign should be evaluated for workload, skill requirements, fairness, and unintended consequences.

Sociotechnical systems perspective

The sociotechnical perspective views work as a joint system of social relationships and technical arrangements. Performance depends not only on individual effort but also on workflow, technology, team boundaries, communication, norms, and decision rights. Its central principle is joint optimization: neither the technical system nor the social system should be optimized in isolation.

Sociotechnical design often emphasizes semi-autonomous teams, meaningful group tasks, multiple skills, control over internal work methods, and boundary management. For example, a service team may collectively schedule work, monitor quality, resolve routine customer problems, and improve its process, while management sets strategic and regulatory boundaries.

This perspective is especially relevant to digital transformation. Introducing an algorithm into a poorly designed process may increase surveillance, reduce discretion, or transfer hidden administrative work to employees. Effective design asks who controls data, who can challenge an automated recommendation, how exceptions are handled, and whether technology improves or merely intensifies work.

Integrating the perspectives

The three perspectives need not be treated as mutually exclusive. A high-reliability manufacturing process may require standardized procedures for safety, enriched roles for problem solving, and team structures for continuous improvement. The design challenge is to determine where control, consistency, autonomy, learning, and collaboration should reside.

3. Designing Flexible and Sustainable Work

Flexible work may vary in location, time, employment relationship, workload, or organizational boundary. Examples include hybrid work, compressed schedules, flexible shifts, job sharing, part-time work, project assignments, contractors, professional services, temporary agency work, and platform-mediated work.

Flexibility can improve access to talent and employee autonomy, but it may also produce work intensification, unequal career visibility, fragmented accountability, and risks of misclassification. A sound design specifies outputs, decision rights, communication norms, availability expectations, security controls, and mechanisms for inclusion.

A practical design sequence is:

1. Identify customer and organizational outputs.
2. Map the process and dependencies.
3. Determine which activities require co-location, fixed timing, or direct supervision.
4. Determine where autonomy and asynchronous work are feasible.
5. Define controls for quality, safety, privacy, and information security.
6. Pilot the arrangement and evaluate outcomes for different employee groups.

Job design must also address ergonomics, psychosocial risk, fatigue, emotional labor, workload, and recovery time. A flexible arrangement is not sustainable if employees must remain continuously available. Managers should distinguish genuine flexibility from the transfer of scheduling risk to workers.

4. Strategic Workforce Planning

Strategic workforce planning is the systematic process of aligning workforce size, composition, capabilities, location, cost, and timing with organizational strategy. It is not simply headcount budgeting. Two organizations with 1,000 employees may have radically different strategic capacity because their skills, roles, age profiles, deployment patterns, and leadership pipelines differ.

Planning cycle

A robust cycle includes:

1. Strategic and environmental analysis: business model, technology, regulation, competition, economic conditions, and labor-market trends.
2. Current-state workforce profile: headcount, full-time equivalents, skills, tenure, turnover, demographics, productivity, cost, and critical roles.
3. Demand forecast: future quantity and type of labor required.
4. Supply forecast: internal availability and external labor-market access.
5. Gap analysis: surpluses, shortages, capability gaps, and timing risks.
6. Action portfolio: build, buy, borrow, automate, redesign, redeploy, retain, or reduce.
7. Implementation and review: owners, milestones, resources, metrics, and scenario updates.

Forecasting labor demand

Demand forecasting may be judgmental, analytical, or hybrid. Managerial judgment, Delphi panels, scenario planning, and strategic workshops are useful where historical data are weak or discontinuities are likely. Trend analysis, ratio analysis, regression, workload models, and productivity assumptions can support more stable environments.

A simple workload estimate is:

Total workload hours represent the forecast activity volume multiplied by the time required per unit. Productive hours per FTE are available working hours after deducting leave, training, meetings, unavoidable downtime, and other nonproductive time as defined by the organization. Units must be consistent, and the estimate assumes that time standards and productivity are reasonably stable.

Worked example. A claims unit expects 18,000 claims. Each claim requires 30 minutes, so workload equals 9,000 hours. If one FTE provides 1,500 productive hours annually:

If demand rises by 20% while productivity remains unchanged, workload becomes 10,800 hours and demand becomes 7.2 FTEs. The organization must decide whether to employ 7.2 FTE equivalent capacity, redesign the process, automate part of it, use overtime, or accept a service-level change. Rounding to whole employees is a managerial decision, not a mathematical necessity.

Ratio analysis can estimate employees relative to a business driver, such as customers per service representative. Its weakness is that historical ratios may preserve inefficiency or fail when technology, service standards, or product mix changes. Regression models can incorporate multiple predictors, but statistical association does not establish causality and forecasts are vulnerable to structural breaks.

Forecasting labor supply

Internal supply analysis examines current employees, likely turnover, retirement, promotion, transfers, succession readiness, skills, and availability. A basic cohort or transition analysis estimates movement among job categories, but its usefulness depends on reliable historical transitions and stable conditions.

External supply analysis considers occupational availability, wages, geography, migration, education pipelines, competitor demand, professional regulation, and inclusion barriers. Supply is not merely a count of unemployed people; it is the number of suitably skilled people accessible at an acceptable cost and within the required time.

Gap analysis and response choices

The gap can be expressed conceptually as:

A positive result indicates a shortage in the selected unit, while a negative result indicates a surplus. The equation is meaningful only when demand and supply use the same definition—for example, FTEs with comparable skills, time period, location, and availability.

Responses include:

• Build: recruitment, training, apprenticeships, mentoring, and career pathways.
• Buy: external hiring or acquisition of a capability.
• Borrow: contractors, partners, temporary staff, or shared services.
• Bot/automate: technology substitution or augmentation.
• Bind: retention, job enrichment, pay, flexibility, and career opportunities.
• Bounce or redeploy: fair restructuring, reskilling, transfers, and managed exits.

The best response is often a portfolio. Hiring may address immediate volume while development builds a strategic capability; automation may remove routine work while increasing the need for data governance and customer judgment.

5. Skills Gaps, Restructuring, and Workforce Alternatives

A skills gap is a difference between capabilities required for performance and capabilities available in the workforce. It may be quantitative, such as too few cybersecurity specialists, or qualitative, such as inadequate strategic communication among technically competent employees. Skills inventories should distinguish proficiency, evidence of application, recency, and readiness for deployment.

A useful skills-gap process is to define future capabilities, assess current proficiency using validated methods, prioritize gaps by strategic impact and urgency, and choose interventions. Self-assessment alone is insufficient for critical decisions; it should be supplemented by work samples, structured assessments, supervisor evidence, certifications, and performance outcomes.

Restructuring may involve delayering, centralization, decentralization, outsourcing, process redesign, mergers, automation, or elimination of roles. The ethical quality of restructuring depends on transparency, procedural fairness, consultation, non-discrimination, reasonable support, and respect for dignity. Organizations should test whether selection criteria create adverse effects for protected groups and whether alternatives can achieve the business objective with less harm.

Alternative workforce arrangements create governance questions. Contractors may provide expertise and flexibility, but organizations must manage confidentiality, intellectual property, safety, data access, continuity, and legal classification. Temporary workers may experience unequal access to training or voice mechanisms. Platform work may conceal employment dependence behind formal independence. HR leaders should obtain legal advice on jurisdiction-specific requirements rather than assuming that a contract label determines legal status.

6. Technology, Analytics, and Artificial Intelligence

Workforce analytics can reveal turnover patterns, skill concentrations, workload imbalance, and future capability needs. However, predictive models are not neutral. Historical data may encode unequal access to promotion, biased performance ratings, or discriminatory hiring practices. A model trained on such data can reproduce or intensify those patterns.

Responsible practice requires a clear purpose, data minimization, security, transparency, human review, contestability, monitoring for disparate impact, and documented accountability. AI should support—not replace—professional judgment in high-impact employment decisions. Employees should understand what data are collected, how they are used, and how errors can be challenged. Continuous monitoring technologies also raise proportionality and privacy concerns, particularly when metrics reward visible activity rather than meaningful outcomes.

7. Illustrative Case: Meridian Health Services

Background

Meridian Health Services, a fictional regional provider, operates outpatient clinics and a centralized appointment center. Its strategy is to expand virtual care while reducing patient waiting time. The appointment center has 120 employees, rising absenteeism, high turnover among newer employees, and inconsistent service levels.

Problem

Management proposes replacing many staff with an automated scheduling system. Employees argue that the current job is narrowly scripted and that the proposed system will increase monitoring without resolving workflow failures. Patients with complex needs often require judgment and empathy that the automated process cannot provide.

Analysis

A work analysis team reviews call recordings, observes workflows, interviews employees and patients, and examines demand by hour and patient type. It finds that routine appointments represent 65% of contacts, while complex cases generate most escalations. Employees spend substantial time correcting incomplete information from clinics. The job description emphasizes call volume but omits problem solving, patient education, and coordination.

The workforce forecast estimates 300,000 annual contacts. Routine contacts require an average of 6 minutes and complex contacts 18 minutes. If 65% are routine, workload is:

If each FTE provides 1,500 productive hours, baseline demand is 34 FTEs for contact-handling time. The figure excludes supervision, training, quality assurance, absence coverage, and technology exceptions; therefore it is not a complete staffing recommendation.

Approach and solution

Meridian introduces automation for routine scheduling but redesigns remaining jobs as patient-access specialists. Specialists handle exceptions, accessibility needs, clinical coordination, and patient education. The new design increases task identity and significance, provides discretion within clinical protocols, and supplies feedback based on resolution quality rather than call volume alone. Employees receive training in digital tools, communication, privacy, and escalation judgment.

The organization also creates a clinic feedback loop to correct incomplete referral information. Workforce planning uses three scenarios: low, expected, and high virtual-care adoption. Instead of immediate large-scale redundancies, Meridian uses attrition, redeployment, voluntary reduced hours, and reskilling while monitoring service and employee outcomes.

Outcome

In the first evaluation period, routine transactions shift to self-service, complex cases receive more specialist attention, and escalation rates decline. Management also discovers that productivity gains are smaller than expected during the transition because employees perform additional quality checks. The planning model is revised to include this transition workload.

Learning points

The case illustrates that automation changes job content rather than simply eliminating jobs. Accurate workload analysis must include complexity and hidden work. Job design should align performance measures with service quality. Scenario planning is preferable to a single forecast when technology adoption is uncertain. Finally, employee participation improves both ethical legitimacy and operational knowledge.

8. Governance, Measurement, and Best Practice

Effective implementation requires governance rather than a one-time HR project. Organizations should assign owners for job documentation, competency standards, workforce data, model validation, and review of redesign outcomes. Job information should be refreshed when technology, regulation, process, or strategy changes.

Useful indicators include time to proficiency, critical-skill coverage, internal fill rates, regretted turnover, absence, safety events, workload distribution, service quality, employee autonomy, inclusion outcomes, and the accuracy of forecasts. Metrics should be interpreted together. A reduction in labor cost accompanied by burnout or declining service quality is not necessarily an improvement.

Best practice includes:

• Start with organizational outputs and customer value, not inherited job titles.
• Use multiple evidence sources and validate findings with jobholders.
• Distinguish essential requirements from historically preferred credentials.
• Combine efficiency with autonomy, learning, safety, and dignity.
• Forecast scenarios rather than relying on a single number.
• Treat skills as capabilities that can be built, bought, borrowed, or redesigned.
• Evaluate distributional effects across demographic and employment groups.
• Make assumptions explicit and review them as conditions change.
• Involve employees and relevant representatives in significant redesign.
• Govern workforce analytics through privacy, fairness, transparency, and human accountability.

Chapter Summary

Work analysis identifies how work creates value; job analysis examines duties and requirements; competency analysis identifies the capabilities that support effective performance. Reliable analysis uses multiple methods, validates evidence, and distinguishes essential requirements from preferences.

Job design reflects competing but complementary perspectives. Scientific management contributes standardization and efficiency, the Job Characteristics Model emphasizes motivation through variety, identity, significance, autonomy, and feedback, and sociotechnical theory emphasizes joint optimization of people, technology, teams, and workflow. Contemporary design must also address flexibility, ergonomics, psychosocial well-being, inclusion, and digital governance.

Strategic workforce planning aligns future labor demand and supply with organizational strategy. Forecasts may use judgment, ratios, workload estimates, regression, scenario planning, and internal transition analysis. Workforce gaps can be addressed through building, buying, borrowing, automation, retention, redeployment, and fair restructuring. Quantitative estimates are decision aids, not substitutes for managerial judgment.

Finally, technology and AI create opportunities for augmentation but also risks involving privacy, bias, surveillance, classification, and accountability. Effective workforce systems are evidence-based, participative, adaptable, and ethically governed.

Key Terms

Work analysis: Study of activities, workflows, outputs, and capabilities through which work creates value.

Job analysis: Systematic examination of the duties, responsibilities, context, and requirements of a job.

Job description: Document stating a job’s purpose, duties, relationships, authority, and conditions.

Job specification: Statement of the knowledge, skills, abilities, qualifications, and other requirements for a job.

Competency: Observable capability associated with effective performance.

Job family: Group of related jobs with similar work and career pathways.

Scientific management: Approach emphasizing systematic task analysis, standardization, specialization, and measurement.

Job design: Arrangement of tasks, authority, information, technology, and relationships in work.

Skill variety: Degree to which a job uses different skills and activities.

Task identity: Degree to which a job involves completing a whole, identifiable piece of work.

Task significance: Perceived impact of a job on other people or important outcomes.

Autonomy: Freedom and discretion over methods, timing, or scheduling.

Feedback: Direct information about performance and results.

Sociotechnical system: Joint system of social relationships and technical arrangements.

Strategic workforce planning: Alignment of workforce capacity and capability with organizational strategy.

Labor demand: Quantity and type of workforce required in a future period.

Labor supply: People and capabilities available internally or externally to meet demand.

Skills gap: Difference between required capabilities and available capabilities.

Scenario planning: Analysis of alternative plausible futures and corresponding responses.

Workforce analytics: Use of workforce data to inform decisions, subject to ethical and governance controls.

Review Questions

Short Answer Questions

1. What is the difference between a job description and a job specification?
2. Why should work analysis use multiple sources of evidence?
3. Identify the five core characteristics in the Job Characteristics Model.
4. What is the purpose of a workforce demand forecast?
5. Name four possible responses to a skills gap.

Long Answer Questions

1. Compare scientific management, the Job Characteristics Model, and the sociotechnical perspective. Explain how a manager might integrate all three in one redesign.
2. Describe a complete job-analysis process and discuss the strengths and limitations of at least three data-collection methods.
3. Explain how strategic workforce planning connects organizational strategy, labor demand, labor supply, and workforce action.
4. Discuss the ethical and governance issues associated with AI-supported workforce analytics.
5. Explain why flexible work arrangements can improve organizational performance while also creating new risks.

Analytical / Application Questions

1. A service department forecasts 24,000 transactions. Each transaction requires 20 minutes, and each FTE contributes 1,400 productive hours annually. Calculate baseline FTE demand and identify two assumptions that should be tested before implementation.
2. A job has high skill variety, task significance, and feedback but very low autonomy. Use the Job Characteristics Model to analyze likely motivational implications and recommend two redesign actions.
3. An organization expects automation to reduce routine work but increase complex exception handling. Design a workforce-planning response that addresses demand forecasting, reskilling, job redesign, employee participation, and ethical risks.

Multiple Choice Questions with Answers

Question 1

Which statement best distinguishes a job specification from a job description?

A. A job specification describes organizational strategy, while a job description describes competitors.

B. A job specification identifies worker requirements, while a job description states duties and responsibilities.

C. A job specification lists salary only, while a job description lists benefits only.

D. A job specification applies to teams, while a job description applies only to executives.

Correct Answer: B. A job specification identifies worker requirements, while a job description states duties and responsibilities.

Question 2

Which Job Characteristics Model dimension refers to freedom over methods and scheduling?

A. Task identity

B. Feedback

C. Autonomy

D. Skill variety

Correct Answer: C. Autonomy

Question 3

What is the central idea of the sociotechnical perspective?

A. Technology should replace all human judgment.

B. Social and technical systems should be jointly optimized.

C. Jobs should always be narrowly specialized.

D. Performance depends only on individual motivation.

Correct Answer: B. Social and technical systems should be jointly optimized.

Question 4

A unit expects 12,000 workload hours and one FTE provides 1,500 productive hours. What is baseline demand?

A. 6 FTEs

B. 8 FTEs

C. 10 FTEs

D. 18 FTEs

Correct Answer: B. 8 FTEs

Question 5

Which is an example of a demand-forecasting limitation of historical ratio analysis?

A. It always requires artificial intelligence.

B. It cannot use operational data.

C. It may preserve past inefficiencies when conditions change.

D. It measures employee motivation directly.

Correct Answer: C. It may preserve past inefficiencies when conditions change.

Question 6

A positive workforce gap, defined as demand − supply, generally indicates:

A. A labor shortage

B. A labor surplus

C. No need for planning

D. A completed restructuring

Correct Answer: A. A labor shortage

Question 7

Which practice best supports responsible AI use in employment decisions?

A. Remove human review to maximize consistency.

B. Use all available employee data regardless of purpose.

C. Monitor bias, provide transparency, and allow contestability.

D. Assume historical decisions are unbiased.

Correct Answer: C. Monitor bias, provide transparency, and allow contestability.

Question 8

Which intervention is an example of ‘build’ in workforce planning?

A. Hiring a competitor’s experienced employee

B. Training current employees for future capabilities

C. Outsourcing the activity

D. Eliminating the role

Correct Answer: B. Training current employees for future capabilities

Question 9

Why is the Job Characteristics Model motivating-potential index not a universal productivity formula?

A. Its variables cannot be defined.

B. It is a conceptual index requiring comparable ratings and assumptions.

C. It applies only to manufacturing jobs.

D. It excludes autonomy and feedback.

Correct Answer: B. It is a conceptual index requiring comparable ratings and assumptions.

Question 10

In the Meridian case, why were complex patient-access roles retained after automation?

A. Complex cases required judgment, coordination, and empathy.

B. Routine scheduling became more expensive than before.

C. Automation was prohibited in all healthcare settings.

D. Employees refused all forms of training.

Correct Answer: A. Complex cases required judgment, coordination, and empathy.