Work Performance Information
#Work Performance Information is the input and output of the PMBOK processes. When Work Performance Data is collected in the monitoring and controlling process, it is analyzed in the context of the process, events, situation, etc. After this, we get some insight, we can conclude some meaning from it. We come to know whether it is good for the project, bad for the project, or it can be ignored. Now it is called Work Performance Information. We can make decisions, take action based on this analyzed data. Examples of the work performance information (WPI) are as follows.
- We are 2 days behind the schedule
- Our productivity is 5% less
- The cost of the making X component is 15% more than the baseline
- The security breach has gone up 10% in the last 4 weeks.
Work Performance Information is input in <Monitor and Control Project Work
Work Performance Information is output from the following processes.
- Validate Scope
- Control Scope
- Control Schedule
- Control Costs
- Control Quality
- Control Resources
- Monitor Communications
- Monitor Risks
- Control Procurements
- Monitor Stakeholder Engagement

Dr. Hari Thapliyaal
Dr. Hari Thapliyal is a seasoned professional and prolific blogger with a multifaceted background that spans the realms of Data Science, Project Management, and Advait-Vedanta Philosophy. Holding a Doctorate in AI/NLP from SSBM (Geneva, Switzerland), Hari has earned Master's degrees in Computers, Business Management, Data Science, and Economics, reflecting his dedication to continuous learning and a diverse skill set.
With over three decades of experience in management and leadership, Hari has proven expertise in training, consulting, and coaching within the technology sector. His extensive 16+ years in all phases of software product development are complemented by a decade-long focus on course design, training, coaching, and consulting in Project Management.
In the dynamic field of Data Science, Hari stands out with more than three years of hands-on experience in software development, training course development, training, and mentoring professionals. His areas of specialization include Data Science, AI, Computer Vision, NLP, complex machine learning algorithms, statistical modeling, pattern identification, and extraction of valuable insights.
Hari's professional journey showcases his diverse experience in planning and executing multiple types of projects. He excels in driving stakeholders to identify and resolve business problems, consistently delivering excellent results. Beyond the professional sphere, Hari finds solace in long meditation, often seeking secluded places or immersing himself in the embrace of nature.
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