Human performance technology (HPT) is a systematic way to close the gap between how people perform at work and how they need to perform. It starts from a measured performance gap, diagnoses why the gap exists, and only then picks a fix, which may or may not be training. Its roots run through behavioural psychologist Thomas Gilbert, whose book Human Competence: Engineering Worthy Performance appeared in 1978, and a widely used version of the model was published by the International Society for Performance Improvement (ISPI).
How it works
01
Measure the gap first
Performance analysis compares desired workforce performance with current performance, inside the organisation's goals, work environment and culture.
02
Diagnose before prescribing
Cause analysis checks six factors: consequences and incentives, information and feedback, tools and resources, individual capacity, motives, and knowledge and skills.
03
Choose the cheapest fix that works
Interventions range from performance support and work redesign to incentives, communication and training. Causes are prioritised by capability, support, coordination needed and cost.
04
Evaluate in three passes
Formative evaluation improves the design, summative evaluation checks the immediate result, and confirmative evaluation checks whether the gain lasts on the job.
Where you see it today
AI assistants as performance support
A study of 5,172 customer-support agents found that access to a generative AI assistant raised issues resolved per hour by 15% on average, with the largest gains for less experienced workers (Brynjolfsson, Li and Raymond, 2025). In HPT terms, the tool closed an information and skills gap without a training course.
Workflows before workshops
When a team misses targets after an AI rollout, HPT’s first question is not “who needs training?” but “what changed in tools, incentives and feedback?” Many adoption problems sit in the work environment, not in people’s heads.
Security behaviour
Purdue researcher Melissa Dark applied the HPT model to security education, arguing that training assumes a lack of knowledge is the main cause of poor performance, while HPT tests other causes too (Dark, 2007). The same logic applies to phishing and AI-misuse risks today.
Measuring whether gains last
AI pilots often report early speed gains. HPT’s confirmative evaluation asks the harder question months later: did quality hold, and did the gain transfer to the job?
HPT vs related approaches
Human performance technology
Starting questionWhy is there a gap between desired and actual results?
Typical outputA mix of fixes matched to diagnosed causes
Starting questionHow does this individual reach the standard?
Typical outputTargets and support for one person
How to use it
Write the gap as a measurable difference: current result, desired result, and who owns it.
Before buying training, check the six causes: incentives, information, tools, capacity, motives and skills.
Treat AI tools as performance support: test whether they close the gap faster than a course would.
Prioritise fixes by impact, cost and how many departments they need to coordinate.
Plan evaluation before rollout, including a check three to six months later on whether the gain lasted.
The Business Engineer lens
AI turns many performance gaps into tooling and workflow questions rather than training questions. The Business Engineer reads AI adoption the HPT way: measure the gap, find the cause, and redesign the work, not just the course catalogue.
It is a systematic method for improving workplace performance: measure the gap between desired and actual results, diagnose the causes, choose matching interventions, and evaluate the result.
Is HPT the same as training?
No. Training is one possible intervention. HPT first checks whether the cause is a lack of skills or something else, such as missing tools, unclear expectations or poor incentives.
Who is behind HPT?
The field is associated with Thomas Gilbert's 1978 book Human Competence and with the International Society for Performance Improvement, which published a widely used HPT model.
How does AI fit into HPT?
AI assistants can act as performance support. A large field study of customer-support agents found AI assistance raised productivity most for less experienced workers.
The complete explainer, cleaned up and reformatted for mobile.
Drawing by The Business Engineer.
FourWeekMBABusiness EngineerAt a glance
Focus on Results: The ultimate goal of HPT is to achieve measurable and sustainable improvements in performance that align with organizational objectives.
Root Cause Analysis: Determines the underlying causes of performance gaps.
Implementing best practices such as conducting comprehensive analysis, designing tailored interventions, fostering a supportive culture, using data-driven methods, and ensuring sustainability can help maximize the benefits of HPT.
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Why it mattersFrom the article
At its core, HPT seeks to bridge the gap between an organization's current and desired performance by systematically analyzing performance issues and implementing effective solutions.
Understanding and applying HPT is crucial for organizations aiming to enhance efficiency, productivity, and overall effectiveness.
By understanding the key components, methods, benefits, and challenges of HPT, organizations can develop effective strategies to enhance efficiency, boost productivity, and improve overall effectiveness.
Human Performance Technology, often referred to as HPT, is a multidisciplinary field that emerged in the mid-20th century. It focuses on improving human performance at the individual, team, and organizational levels.
Key Components
What is Human Performance Technology?
Human Performance Technology (HPT) is a field of study and practice that focuses on improving individual and organizational performance through a systematic and holistic approach.
Importance of Human Performance Technology
Understanding and applying HPT is crucial for organizations aiming to enhance efficiency, productivity, and overall effectiveness.
Components of Human Performance Technology
HPT consists of several key components that work together to diagnose performance issues and implement effective solutions.
Methods to Implement Human Performance Technology
Several methods can be used to implement HPT effectively, each offering different strategies and tools.
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FourWeekMBA x Business Engineer | Updated 2026
Human Performance Technology, often referred to as HPT, is a multidisciplinary field that emerged in the mid-20th century. It focuses on improving human performance at the individual, team, and organizational levels. At its core, HPT seeks to bridge the gap between an organization’s current and desired performance by systematically analyzing performance issues and implementing effective solutions.
Key principles and components of Human Performance Technology include:
Systematic Approach: HPT takes a systematic and structured approach to assess, diagnose, design, implement, and evaluate interventions aimed at improving performance.
Evidence-Based: HPT relies on empirical evidence and data-driven analysis to inform decisions about performance improvement initiatives.
Focus on Results: The ultimate goal of HPT is to achieve measurable and sustainable improvements in performance that align with organizational objectives.
Human-Centered: HPT recognizes the critical role of individuals and teams in achieving organizational goals. It emphasizes factors such as skills, motivation, and organizational culture.
Interdisciplinary: HPT draws from various disciplines, including psychology, instructional design, organizational development, and human resources, to create comprehensive solutions.
Continuous Improvement: HPT is an ongoing process that seeks to continuously identify performance gaps, implement interventions, and monitor progress.
What is Human Performance Technology?
Human Performance Technology (HPT) is a field of study and practice that focuses on improving individual and organizational performance through a systematic and holistic approach. It involves identifying performance gaps, analyzing their causes, and implementing interventions to bridge these gaps.
Key Characteristics of Human Performance Technology
Systematic Approach: Uses a structured process to analyze performance problems and design solutions.
Performance Focus: Emphasizes measurable improvements in performance.
Holistic View: Considers all factors that influence performance, including human, organizational, and environmental elements.
Importance of Human Performance Technology
Understanding and applying HPT is crucial for organizations aiming to enhance efficiency, productivity, and overall effectiveness.
Enhancing Efficiency
Process Improvement: Streamlines processes to eliminate inefficiencies and improve workflow.
Resource Optimization: Ensures optimal use of resources, including time, money, and human capital.
Boosting Productivity
Skill Development: Identifies and addresses skill gaps to enhance employee competence.
Motivation and Engagement: Implements strategies to boost employee motivation and engagement.
Improving Organizational Effectiveness
Goal Alignment: Aligns individual performance with organizational goals and objectives.
Continuous Improvement: Fosters a culture of continuous improvement and innovation.
Components of Human Performance Technology
HPT consists of several key components that work together to diagnose performance issues and implement effective solutions.
1. Performance Analysis
Gap Analysis: Identifies the gap between current performance and desired performance.
Root Cause Analysis: Determines the underlying causes of performance gaps.
2. Intervention Selection
Solution Design: Develops interventions tailored to address identified performance issues.
Multiple Interventions: Considers a range of interventions, such as training, process changes, and motivational strategies.
3. Implementation
Action Plan: Develops a detailed action plan for implementing selected interventions.
Change Management: Manages the change process to ensure successful implementation.
4. Evaluation
Formative Evaluation: Conducts ongoing assessments during the implementation phase to make necessary adjustments.
Summative Evaluation: Measures the overall impact of interventions on performance after implementation.
5. Continuous Improvement
Feedback Loop: Establishes a feedback loop to gather data on intervention effectiveness.
Iterative Process: Uses evaluation data to continuously refine and improve interventions.
Methods to Implement Human Performance Technology
Several methods can be used to implement HPT effectively, each offering different strategies and tools.
1. Performance Analysis Techniques
Observation: Observes employees in their work environment to identify performance issues.
Interviews and Surveys: Gathers input from employees and stakeholders through interviews and surveys.
2. Root Cause Analysis Tools
Fishbone Diagram: Uses a fishbone diagram (Ishikawa diagram) to identify root causes of performance problems.
Five Whys: Applies the “Five Whys” technique to drill down to the root cause of an issue.
3. Intervention Design
Instructional Design: Develops training programs based on instructional design principles.
Process Mapping: Uses process mapping to identify and streamline inefficient workflows.
4. Implementation Strategies
Project Management: Applies project management techniques to oversee intervention implementation.
Change Management Models: Uses change management models such as ADKAR or Kotter’s 8-Step Process.
5. Evaluation Methods
Kirkpatrick Model: Uses the Kirkpatrick Model to evaluate training effectiveness at four levels: Reaction, Learning, Behavior, and Results.
Return on Investment (ROI): Calculates ROI to measure the financial impact of interventions.
Skill Enhancement: Enhances employee skills and competence through targeted training and development.
Performance Metrics: Provides clear performance metrics to track and measure improvements.
Increased Productivity
Efficiency Gains: Identifies and eliminates inefficiencies in processes and workflows.
Motivation Boost: Increases employee motivation and engagement through effective interventions.
Better Resource Utilization
Optimal Use: Ensures optimal use of organizational resources, including human capital.
Cost Savings: Reduces costs by improving efficiency and reducing performance-related issues.
Enhanced Organizational Effectiveness
Goal Achievement: Aligns individual and team performance with organizational goals.
Continuous Improvement: Fosters a culture of continuous improvement and innovation.
Challenges of Implementing Human Performance Technology
Despite its benefits, implementing HPT presents several challenges that need to be managed for successful adoption.
Resistance to Change
Cultural Barriers: Overcoming cultural barriers and resistance to new interventions.
Change Fatigue: Addressing change fatigue in organizations with frequent changes.
Resource Constraints
Time and Budget: Allocating sufficient time and budget for comprehensive performance analysis and intervention.
Skilled Personnel: Ensuring availability of skilled personnel to implement and manage HPT initiatives.
Measurement Difficulties
Quantifying Impact: Measuring the impact of interventions on performance can be complex.
Data Collection: Collecting reliable data for analysis and evaluation.
Sustainability
Maintaining Momentum: Sustaining momentum and commitment to HPT initiatives over the long term.
Continuous Improvement: Ensuring continuous improvement efforts are maintained.
Best Practices for Implementing Human Performance Technology
Implementing best practices can help effectively manage and overcome challenges, maximizing the benefits of HPT.
Conduct Comprehensive Analysis
Thorough Assessment: Conduct thorough performance assessments to identify gaps and root causes.
Stakeholder Involvement: Involve stakeholders in the analysis process to gather diverse perspectives.
Design Tailored Interventions
Customized Solutions: Develop interventions tailored to the specific needs and context of the organization.
Multiple Approaches: Consider a range of approaches, including training, process changes, and motivational strategies.
Foster a Supportive Culture
Leadership Support: Ensure strong leadership support for HPT initiatives.
Employee Engagement: Engage employees in the process and communicate the benefits of HPT.
Use Data-Driven Methods
Evidence-Based: Use data-driven methods to design, implement, and evaluate interventions.
Continuous Monitoring: Continuously monitor performance and gather data for ongoing improvement.
Ensure Sustainability
Long-Term Commitment: Commit to long-term efforts to sustain HPT initiatives.
Continuous Feedback: Establish continuous feedback loops to refine and improve interventions.
Future Trends in Human Performance Technology
Several trends are likely to shape the future of HPT and its applications.
Digital Transformation
Technology Integration: Integrating digital tools and technologies to enhance performance analysis and interventions.
Remote Work: Adapting HPT strategies for remote and hybrid work environments.
Data Analytics
Big Data: Leveraging big data and analytics to gain deeper insights into performance issues.
Predictive Analytics: Using predictive analytics to anticipate and address performance gaps.
Personalized Learning
Personalization: Implementing personalized learning and development programs tailored to individual needs.
Adaptive Learning: Using adaptive learning technologies to provide customized training experiences.
Employee Well-Being
Holistic Approach: Addressing employee well-being as part of performance improvement efforts.
Work-Life Balance: Promoting work-life balance to enhance overall performance and productivity.
Sustainability and Social Responsibility
Sustainable Practices: Integrating sustainability and social responsibility into HPT initiatives.
Ethical Considerations: Promoting ethical practices in performance improvement efforts.
Conclusion
Human Performance Technology (HPT) is a systematic approach aimed at improving individual and organizational performance through comprehensive analysis, targeted interventions, and continuous improvement. By understanding the key components, methods, benefits, and challenges of HPT, organizations can develop effective strategies to enhance efficiency, boost productivity, and improve overall effectiveness. Implementing best practices such as conducting comprehensive analysis, designing tailored interventions, fostering a supportive culture, using data-driven methods, and ensuring sustainability can help maximize the benefits of HPT.
In a functional organizational structure, groups and teams are organized based on function. Therefore, this organization follows a top-down structure, where most decision flows from top management to bottom. Thus, the bottom of the organization mostly follows the strategy detailed by the top of the organization.
In a flat organizational structure, there is little to no middle management between employees and executives. Therefore it reduces the space between employees and executives to enable an effective communication flow within the organization, thus being faster and leaner.
OpenAI is an artificial intelligence research laboratory that transitioned into a for-profit organization in 2019. The corporate structure is organized around two entities: OpenAI, Inc., which is a single-member Delaware LLC controlled by OpenAI non-profit, And OpenAI LP, which is a capped, for-profit organization. The OpenAI LP is governed by the board of OpenAI, Inc (the foundation), which acts as a General Partner. At the same time, Limited Partners comprise employees of the LP, some of the board members, and other investors like Reid Hoffman’s charitable foundation, Khosla Ventures, and Microsoft, the leading investor in the LP.
Airbnb follows a holacracy model, or a sort of flat organizational structure, where teams are organized for projects, to move quickly and iterate fast, thus keeping a lean and flexible approach. Airbnb also moved to a hybrid model where employees can work from anywhere and meet on a quarterly basis to plan ahead, and connect to each other.
The Amazon organizational structure is predominantly hierarchical with elements of function-based structure and geographic divisions. While Amazon started as a lean, flat organization in its early years, it transitioned into a hierarchical organization with its jobs and functions clearly defined as it scaled.
The Coca-Cola Company has a somewhat complex matrix organizational structure with geographic divisions, product divisions, business-type units, and functional groups.
Costco has a matrix organizational structure, which can simply be defined as any structure that combines two or more different types. In this case, a predominant functional structure exists with a more secondary divisional structure.
Costco’s geographic divisions reflect its strong presence in the United States combined with its expanding global presence. There are six divisions in the country alone to reflect its standing as the source of most company revenue.
Compared to competitor Walmart, for example, Costco takes more a decentralized approach to management, decision-making, and autonomy. This allows the company’s stores and divisions to more flexibly respond to local market conditions.
Dell has a functional organizational structure with some degree of decentralization. This means functional departments share information, contribute ideas to the success of the organization and have some degree of decision-making power.
eBay was until recently a multi-divisional (M-form) organization with semi-autonomous units grouped according to the services they provided. Today, eBay has a single division called Marketplace, which includes eBay and its international iterations.
Facebook is characterized by a multi-faceted matrix organizational structure. The company utilizes a flat organizational structure in combination with corporate function-based teams and product-based or geographic divisions. The flat organization structure is organized around the leadership of Mark Zuckerberg, and the key executives around him. On the other hand, the function-based teams are based on the main corporate functions (like HR, product management, investor relations, and so on).
Goldman Sachs has a hierarchical structure with a clear chain of command and defined career advancement process. The structure is also underpinned by business-type divisions and function-based groups.
Google (Alphabet) has a cross-functional (team-based) organizational structure known as a matrix structure with some degree of flatness. Over the years, as the company scaled and it became a tech giant, its organizational structure is morphing more into a centralized organization.
IBM has an organizational structure characterized by product-based divisions, enabling its strategy to develop innovative and competitive products in multiple markets. IBM is also characterized by function-based segments that support product development and innovation for each product-based division, which include Global Markets, Integrated Supply Chain, Research, Development, and Intellectual Property.
McDonald’s has a divisional organizational structure where each division – based on geographical location – is assigned operational responsibilities and strategic objectives. The main geographical divisions are the US, internationally operated markets, and international developmental licensed markets. And on the other hand, the hierarchical leadership structure is organized around regional and functional divisions.
McKinsey & Company has a decentralized organizational structure with mostly self-managing offices, committees, and employees. There are also functional groups and geographic divisions with proprietary names.
Microsoft has a product-type divisional organizational structure based on functions and engineering groups. As the company scaled over time it also became more hierarchical, however still keeping its hybrid approach between functions, engineering groups, and management.
Nestlé has a geographical divisional structure with operations segmented into five key regions. For many years, Swiss multinational food and drink company Nestlé had a complex and decentralized matrix organizational structure where its numerous brands and subsidiaries were free to operate autonomously.
Nike has a matrix organizational structure incorporating geographic divisions. Nike’s matrix structure is also present at the regional and sub-regional levels. Managerial responsibility is segmented according to business unit (apparel, footwear, and equipment) and function (human resources, finance, marketing, sales, and operations).
Patagonia has a particular organizational structure, where its founder, Chouinard, disposed of the company’s ownership in the hands of two non-profits. The Patagonia Purpose Trust, holding 100% of the voting stocks, is in charge of defining the company’s strategic direction. And the Holdfast Collective, a non-profit, holds 100% of non-voting stocks, aiming to re-invest the brand’s dividends into environmental causes.
Samsung has a product-type divisional organizational structure where products determine how resources and business operations are categorized. The main resources around which Samsung’s corporate structure is organized are consumer electronics, IT, and device solutions. In addition, Samsung leadership functions are organized around a few career levels grades, based on experience (assistant, professional, senior professional, and principal professional).
Sony has a matrix organizational structure primarily based on function-based groups and product/business divisions. The structure also incorporates geographical divisions. In 2021, Sony announced the overhauling of its organizational structure, changing its name from Sony Corporation to Sony Group Corporation to better identify itself as the headquarters of the Sony group of companies skewing the company toward product divisions.
Starbucks follows a matrix organizational structure with a combination of vertical and horizontal structures. It is characterized by multiple, overlapping chains of command and divisions.
Tesla is characterized by a functional organizational structure with aspects of a hierarchical structure. Tesla does employ functional centers that cover all business activities, including finance, sales, marketing, technology, engineering, design, and the offices of the CEO and chairperson. Tesla’s headquarters in Austin, Texas, decide the strategic direction of the company, with international operations given little autonomy.
Toyota has a divisional organizational structure where business operations are centered around the market, product, and geographic groups. Therefore, Toyota organizes its corporate structure around global hierarchies (most strategic decisions come from Japan’s headquarter), product-based divisions (where the organization is broken down, based on each product line), and geographical divisions (according to the geographical areas under management).
Walmart has a hybrid hierarchical-functional organizational structure, otherwise referred to as a matrix structure that combines multiple approaches. On the one hand, Walmart follows a hierarchical structure, where the CEO (John Furner since 1 February 2026) is the only employee without a direct superior, and directives are sent from top-level management. On the other hand, the function-based structure of Walmart is used to categorize employees according to their particular skills and experience.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
