How do people measure project outcomes?
Sprint goal, stories completed, % complete requirements are examples of how the project progress against goals is being measured. Click here to how 22 people measure their project outcomes.
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What’s new in the world of projects?
In 2019, we are updating our book “Going Agile Project Management Practices Second Edition.” Consequently, we are interested in what is happing in agile and non-agile projects around the world. This month we will be collecting experiences and feedback on completed projects. We would be happy to hear from you if you have something to…
Agile & Project Management Survey Results
The Purpose The success rate for agile methodologies is on par with, if not better than, those managed under a traditional methodology. In addition, enterprise agile frameworks are at the peak of adoption. Thus, if agile methodologies are followed rigorously and exclude a project manager, then maybe the project manager role and some project management…
Benchmark Report: BI, BigData, & Analytic Project Success
We have created a template for a benchmark comparison report based upon the survey input. This report compares a benchmark project to the summary of the survey inputs and analysis. The survey analyzed 78 projects for critical success criteria and factors and created a classification model. Based on the model, the classification of the project…
Survey results: BI, BigData, & Analytic Project Success
The aim of the research was to understand the success criteria for decision support projects and what influences the performance of those projects. “Decision support projects are implementation projects that deliver data, analytical models, analytical competence, or all three, for unstructured decision-making and problem-solving. They include subspecialties such as big data, advanced analytics, business intelligence,…
Artificial Intelligence research
This year we presented at one conference and published three articles on artificial intelligence (AI) projects: success factors, stakeholders, and accountability. We considered the impact of the actions of project participants on society and the environment. In summary, project sponsors, project managers, & team members implementing AI systems are moral agents accountable for the harms…