Connect Time Doctor and Heap Analytics to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Time Doctor
Choose an Action
Automatically do this!
Track Event
Add User to Heap
Delete Users
Add User Properties
Enable Integrations or automations with these events of Time Doctor and Heap Analytics
Enable Integrations or automations with these events of Time Doctor and Heap Analytics
Actions
Create Company
This action creates a new company.
Create Project
Create a new project.
Create Task
This action creates a new task.
Track Event
Send an event to Heap
Add User to Heap
Create or update a user in Heap
Delete Users
Submit users for deletion
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Frequently Asked Questions
To start, connect both your Time Doctor and Heap Analytics accounts to viaSocket. Once connected, you can set up a workflow where an event in Time Doctor triggers actions in Heap Analytics (or vice versa).
Absolutely. You can customize how Time Doctor data is recorded in Heap Analytics. This includes choosing which data fields go into which fields of Heap Analytics, setting up custom formats, and filtering out unwanted information.
The data sync between Time Doctor and Heap Analytics 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 Time Doctor and Heap Analytics. 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.
About Time Doctor
Time Doctor is a comprehensive time tracking and productivity management tool designed to help businesses and individuals monitor and optimize their work hours. It provides detailed insights into how time is spent, enabling users to improve efficiency and productivity.
Learn MoreAbout Heap Analytics
Heap Analytics collects and analyzes user event data to understand how users interact with a product.
Learn More
