The new Smart Schedule feature just introduced in task manager app Todoist, uses predictive modeling to help you plan & manage your tasks for the future. Smart Schedule learns your habits as you use the app & takes patterns into account that it’s learned from all Todoist users, predicting the optimum possible due dates for tasks.
This translates into having the ability to quickly reschedule batches of overdue tasks en masse & being able to get unscheduled tasks assigned to the best due dates. Smart Schedule makes it easier to manage your to-do list especially when things don’t go as planned, as often happens in real-world situations.
For finding ideal due dates the system takes the following into account:
- Your personal habits
- Urgency of any given task
- Workdays vs. weekends schedules are taken into account
- Task load balancing based on free time & number & duration of tasks
- Set your own daily & weekly goals for getting tasks completed
- Option for accepting, editing or rejecting Smart Schedule’s suggestions
Since Smart Schedule is AI-powered, it learns your habits over time, so its predictive ability will become more & more accurate over time, the more you use Todoist. You can access the Smart Schedule feature from the Todoist App in 3 different ways:
- From the ‘Today’ or 7 day view, by selecting Reschedule Overview, new due dates will be suggested for all overdue tasks
- By opening the scheduling calendar on the Web app or by swapping on your mobile app to reschedule a task, you’ll get smart scheduling options with a recommended due date
- Or by selecting multiple tasks you’ll have the option to reschedule them all with recommended dates
Todoist is a very popular task management software system & has been around since 2007. It was founded by Amir Salihefendic. The company behind it was incorporated in Chile & is called Doist & has presence in 5 different continents.
You can get Todoist for a wide range of platforms (see the pricing page here), ranging from Web, Windows, MacOS, Chrome, Firefox, Outlook, to mobile platforms like Android, iOS, Android Wear & Apple Watch.
Image Credit:Todoist
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