Description: The article describes principles for optimal sub-tasking of a project goal. Two experiments each one comparing different approaches are presented. A summary of principles for optimal goal setting presents seven key points: i)levels of outcome goals should be recognizable and lack ambiguity; ii) each subtask should be atomic, i.e. not be capable of being broken up into further subtasks, iii) the subtasks should be uniform, lacking ambiguity, so that any new trainee could master it without the need for further guidance; iv) each subtask should be attainable in a reasonable amount of time; v) mentor feedback should be provided during the initial stages of learning or training; vi) upon mastery of each subtask trainees should be encouraged to maximize their overall score; vii) after mastery of individual subtasks, while attempting to maximize scores, trainees should be provided with a mixture of easy, intermediate, and difficult tasks.

Description: This article addresses dealing with distractions, avoiding habits like multi-tasking, and providing guidance on how to reach a state of "flow" to concentrate on deep work.

Description: In this article, the interviewers will discuss the pros and cons of centralized modeling function vs a business unit based modeling function. Their experience will help us in identifying factors in contributing to a successful centralized model function and understand how to set expectation with modeling stakeholders.