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When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new note or piece of feedback is created in Productboard.
Triggers when a new feature/sub-feature is created
Triggers when a project is delete.
Trigger when a new project is created in Organization.
Triggers when a project name is updated.
Triggers when tags are updated in a project.
Action is the task that follows automatically within your Productboard integrations.
Returns detail of all notes
Returns detail of all companies
Returns detail of all features
Returns detail of all components

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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 Productboard and LaunchDarkly accounts to viaSocket. Once connected, you can set up a workflow where an event in Productboard triggers actions in LaunchDarkly (or vice versa).
Absolutely. You can customize how Productboard data is recorded in LaunchDarkly. This includes choosing which data fields go into which fields of LaunchDarkly, setting up custom formats, and filtering out unwanted information.
The data sync between Productboard and LaunchDarkly 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 Productboard and LaunchDarkly. 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.
Productboard is a product management system that helps teams get the right products to market faster. It provides tools for gathering user feedback, prioritizing features, and aligning everyone on the roadmap.
Learn MoreLaunch Darkly is a feature management platform that allows development teams to innovate faster by managing feature flags at scale. It enables teams to deploy code at any time, even if a feature isn't ready to be released to all users, and to control who sees which features, reducing risk and increasing efficiency.
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