Keep track of common tasks, with common task context, with small standard deviation in execution time (both planned and actual duration)
and keep it in a central registry to train an expert system to suggest sub tasks based on the current task
If a similar context is found, and the appropriate switches were on, the task adviser would suggest some sub-tasks based on its experience, and if the user approves or declines such addition, the model is updated centrally with user decision to alter the model
Keep track of common tasks, with common task context, with small standard deviation in execution time (both planned and actual duration) and keep it in a central registry to train an expert system to suggest sub tasks based on the current task If a similar context is found, and the appropriate switches were on, the task adviser would suggest some sub-tasks based on its experience, and if the user approves or declines such addition, the model is updated centrally with user decision to alter the model