Enable Integrations or automations with these events of MeisterTask and kazm
Triggers when a new task is created in MeisterTask.
Triggers when a task is marked as completed in MeisterTask.
Triggers When new Comment is Created on Task.
Triggers when new Checklist item is Created on Your Task.
Triggers When new Section is Created on your Project.
Triggers When am Attachment is Created.
Creates a new task in MeisterTask.
Updates details of an existing task in MeisterTask.
Creates a new Label.
Creates a new Task Label.
Create a new project with a name, sharing setting, and notes.
Find or Create Label.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your MeisterTask and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in MeisterTask triggers actions in kazm (or vice versa).
Absolutely. You can customize how MeisterTask data is recorded in kazm. This includes choosing which data fields go into which fields of kazm, setting up custom formats, and filtering out unwanted information.
The data sync between MeisterTask and kazm typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between MeisterTask and kazm. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
MeisterTask is an intuitive and collaborative task management tool designed to help teams organize and manage their projects efficiently. With features like customizable project boards, time tracking, and seamless integration with other productivity tools, MeisterTask streamlines workflows and enhances team collaboration.
Learn MoreKazm is the data-driven CRM for Web3. We plug into every community touchpoint to create unified customer profiles, then apply machine learning and other methods to label, segment, and help personalize experiences for users.
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