How to connect Productboard and AI: Text-To-Speech
Create a New Scenario to Connect Productboard and AI: Text-To-Speech
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Productboard, triggered by another scenario, or executed manually (for testing purposes). In most cases, Productboard or AI: Text-To-Speech will be your first step. To do this, click "Choose an app," find Productboard or AI: Text-To-Speech, and select the appropriate trigger to start the scenario.

Add the Productboard Node
Select the Productboard node from the app selection panel on the right.


Productboard

Configure the Productboard
Click on the Productboard node to configure it. You can modify the Productboard URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the AI: Text-To-Speech Node
Next, click the plus (+) icon on the Productboard node, select AI: Text-To-Speech from the list of available apps, and choose the action you need from the list of nodes within AI: Text-To-Speech.


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Authenticate AI: Text-To-Speech
Now, click the AI: Text-To-Speech node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI: Text-To-Speech settings. Authentication allows you to use AI: Text-To-Speech through Latenode.
Configure the Productboard and AI: Text-To-Speech Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Productboard and AI: Text-To-Speech Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that donβt require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Trigger on Webhook
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Save and Activate the Scenario
After configuring Productboard, AI: Text-To-Speech, and any additional nodes, donβt forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking βRun onceβ and triggering an event to check if the Productboard and AI: Text-To-Speech integration works as expected. Depending on your setup, data should flow between Productboard and AI: Text-To-Speech (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Productboard and AI: Text-To-Speech
Productboard + AI: Text-To-Speech + Slack: When a new feature is added to Productboard, the text is converted to speech using AI, and a message is sent to a Slack channel with the audio file for quick team updates.
Productboard + AI: Text-To-Speech + Email: When a new note (feedback) is added to Productboard, the text of the note is converted to an audio summary using AI, and the audio file is sent to stakeholders via email.
Productboard and AI: Text-To-Speech integration alternatives

About Productboard
Sync Productboard insights into Latenode to automate product development workflows. Track feature requests, prioritize tasks, and trigger actions in other apps (like Jira or Slack) based on user feedback. Build custom reports and alerts using Latenode's visual editor, making feedback actionable across teams without manual data wrangling.
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About AI: Text-To-Speech
Automate voice notifications or generate audio content directly within Latenode. Convert text from any source (CRM, databases, etc.) into speech for automated alerts, personalized messages, or content creation. Latenode streamlines text-to-speech workflows and eliminates manual audio tasks, integrating seamlessly with your existing data and apps.
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See how Latenode works
FAQ Productboard and AI: Text-To-Speech
How can I connect my Productboard account to AI: Text-To-Speech using Latenode?
To connect your Productboard account to AI: Text-To-Speech on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Productboard and click on "Connect".
- Authenticate your Productboard and AI: Text-To-Speech accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create audio summaries of new Productboard features?
Yes, you can! Latenode enables automated workflows, using AI: Text-To-Speech to convert Productboard feature descriptions into audio, improving accessibility and internal communication.
What types of tasks can I perform by integrating Productboard with AI: Text-To-Speech?
Integrating Productboard with AI: Text-To-Speech allows you to perform various tasks, including:
- Generate audio summaries of new feature ideas for quick team consumption.
- Create voice announcements for product updates based on Productboard data.
- Convert user feedback from Productboard into audio for sentiment analysis.
- Automatically produce audio versions of release notes for accessibility.
- Transform feature specifications into audio training materials for support.
How does Latenode enhance Productboard data accessibility?
Latenode automates audio conversion using AI: Text-To-Speech, making Productboard data easily accessible for auditory learners and on-the-go updates.
Are there any limitations to the Productboard and AI: Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Audio quality is dependent on the AI: Text-To-Speech service's capabilities.
- Complex Productboard data structures may require custom parsing.
- Large volumes of text may impact processing time and API usage.