FAQ's
Machine learning
- Why does nPlan not identify the potential cause of delay on an individual activity?
- Why doesn't nPlan need people and material data within a project and how can nPlan forecast without this data?
- How the level of detail in the programme affects the results?
- Why do identical activities have slightly different duration distributions?
- Do you take the geographic location of a project into account?
- What is machine learning?
Implementation
- How is nPlan different from Quantitative Schedule Risk Analysis (QSRA)?
- What does success look like with full project implementation?
- I want to use nPlan on my project, how do I get started?
- How can we use the results of nPlan to improve our likelihood of completing our project on or before the end date?
- What do we need to provide to nPlan to ensure the most reliable forecasting possible?
- What is needed to configure / setup the software for one project or multiple projects?
Product Questions
- Why does nPlan not include LoE tasks in forecast?
- How does nPlan select top risks?
- What kind of projects can I use nPlan on?
- How could nPlan forecast on a new type of project if my organisation has never built it before?
- Can you identify counter-intuitive risks or those that we may have missed? If so, how?
- How detailed does the project schedule have to be?