People Metrics and Process Metrics

Last Updated : 29 Sep, 2026

People Metrics and Process Metrics, both play important roles in software development. People Metrics helps in quantifying the useful attributes whereas Process Metrics creates the body of the software.

  • They help identify areas where teamwork and development processes can be improved.
  • Tracking these metrics enhances productivity, quality, and project performance.
  • Effective use of people and process metrics contributes to successful project outcomes.
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People Metrices Categories

People Metrics

People metrics play an important role in software project management. These are also called personnel metrics. Some authors view resource metrics to include personnel metrics, software metrics, and hardware metrics but most of the authors mainly view resource metrics as consisting of personnel metrics only.

  • People metrics evaluate team collaboration, communication, productivity, and overall satisfaction.
  • Process metrics measure the efficiency, consistency, and effectiveness of project workflows.

Why should you track people metrics

Tracking people metrics is important because it helps ensure that everyone working on a software project is happy, motivated, and performing at their best.

  • Track productivity, teamwork, and communication to ensure teams work effectively.
  • Helps ensure employees have the support and resources needed to succeed.
  • Improves project outcomes and creates a positive, supportive work environment.
  • Helps identify and resolve issues early before they become bigger problems.

Top 7 People Matrices to Track

Following are the important People Metrics:

  1. Productivity: Productivity metrics are simple ways to measure how much work is done in a certain period. They help see how efficient and effective someone or something is at completing tasks.
  2. Employee Net Promoter Score (eNPS): Measures how likely employees are to recommend their workplace to others. Tracked through regular surveys to assess employee satisfaction and identify improvement areas.
  3. Team Collaboration: Team Collaboration measures how well team members work together and communicate. To track, monitor communication frequency, participation in team activities, and gather feedback from team members regularly.
  4. Attrition: Tracked by calculating turnover rates and analyzing reasons through exit interviews or surveys. Measures the rate at which employees leave the organization.
  5. Absenteeism: Absenteeism measures the frequency at which employees are absent from work. Tracked using attendance records and analyzing absence patterns and reasons.
  6. Total cost of workforce: The Total Cost of Workforce calculates all expenses associated with employing staff. It's important to track because it helps manage budget allocation and optimize resource utilization. Tracked by analyzing salaries, benefits, training, and other workforce-related costs.
  7. Quality of Work: Measures the standard and effectiveness of employees' completed tasks. Tracked through quality checks, stakeholder feedback, and performance evaluations.

Process Metrics

  • Process Metrics are the measures of the development process that create a body of software. A common example of a process metric is the length of time that the process of software creation tasks.
  • Based on the assumption that the quality of the product is a direct function of the process, process metrics can be used to estimate, monitor, and improve the reliability and quality of software. ISO- 9000 certification, or "Quality Management Standards", is the generic reference for a family of standards developed by the International Standard Organization (ISO).
  • Often, Process Metrics are tools of management in their attempt to gain insight into the creation of a product that is intangible. Since the software is abstract, there is no visible, traceable artifact from software projects. Objectively tracking progress becomes extremely difficult. Management is interested in measuring progress and productivity and being able to make predictions concerning both.
  • Process metrics are often collected as part of a model of software development. Models such as Boehm's COCOMO (Constructive Cost Model) make cost estimations for software projects. The boat's COPMO makes predictions about the need for additional effort on large projects.
  • Although valuable management tools, process metrics are not directly relevant to program understanding. They are more useful in measuring and predicting such things as resource usage and schedule.

Types of Process Metrics

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Types of Process Metrics
  • Static Process Metrics: Static Process Metrics are directly related to the defined process. For example, the number of types of roles, types of artifacts, etc.
  • Dynamic Process Metrics: Dynamic Process Metrics are simply related to the properties of process performance. For example, how many activities are performed, how many artifacts are created, etc.)
  • Process Evolution Metrics: Process Evolution Metrics are related to the process of making changes over a period of time. For example, how many iterations are there within the process)

Top 7 Process Metrics

  1. Lead Time: Lead Time measures the time taken from initiating a process (such as starting work on a task) to its completion (finishing the task). It indicates how quickly work moves through the development process.
  2. Cycle Time: Cycle Time tracks the duration it takes to complete one full cycle of a process, from beginning to end. It provides insights into the efficiency and effectiveness of the development workflow.
  3. Throughput: Throughput basically Quantifies the rate at which tasks or features are completed within a given timeframe. It reflects the productivity and capacity of the development team.
  4. Work in Progress (WIP): Work in Progress (WIP) indicates the number of tasks or features currently being worked on but not yet completed. It helps in identifying bottlenecks and managing workflow to ensure tasks are completed efficiently.
  5. Defect Density: Defect Density measures the number of defects or bugs found per unit of work or code. It helps in assessing the quality and reliability of the software being developed.
  6. Process Efficiency: Process Efficiency evaluates the ratio of value-added work (tasks that directly contribute to delivering value to the customer) to non-value-added work (tasks that do not directly contribute to value delivery). It identifies opportunities for streamlining processes and reducing waste.
  7. Process Compliance: Process Compliance assesses the extent to which development processes adhere to defined standards, guidelines, or regulations. It ensures consistency and quality in the software development process.
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