Connect ProdPad and Nyckel to Build Intelligent Automations
Choose a Trigger
When this happens...
New Idea
New Contact
New Company
New Feedback
Choose an Action
Automatically do this!
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Classify
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Ready to use ProdPad and Nyckel automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Idea
Triggers when a new idea is created.
New Contact
Tiggers when a new contact is created.
New Company
Triggers when a new company is created.
New Feedback
Triggers when a new Feedback is created.
Do thisActions
Action is the task that follows automatically within your ProdPad integrations.
Create Contact
Create a new Contact.
Create Feedback
Create new feedback.
Create Idea
Create a New Idea
Update Feedback
Update an existing piece of feedback
Update Contact
Update an existing Contact
Find Contact
Find an existing Contact by Contact ID.
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Frequently Asked Questions
To start, connect both your ProdPad and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in ProdPad triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how ProdPad data is recorded in Nyckel. This includes choosing which data fields go into which fields of Nyckel, setting up custom formats, and filtering out unwanted information.
The data sync between ProdPad and Nyckel 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 ProdPad and Nyckel. 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 ProdPad
ProdPad is a tool that helps you achieve better products through better product management.
Learn MoreAbout Nyckel
Nyckel is a platform that provides machine learning as a service, enabling users to easily integrate AI capabilities into their applications without needing extensive knowledge in data science or machine learning. It offers tools for creating, training, and deploying machine learning models with ease.
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