How to connect AI: Text-To-Speech and Productboard
Create a New Scenario to Connect AI: Text-To-Speech and Productboard
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 AI: Text-To-Speech, triggered by another scenario, or executed manually (for testing purposes). In most cases, AI: Text-To-Speech or Productboard will be your first step. To do this, click "Choose an app," find AI: Text-To-Speech or Productboard, and select the appropriate trigger to start the scenario.

Add the AI: Text-To-Speech Node
Select the AI: Text-To-Speech node from the app selection panel on the right.

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

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Productboard

Authenticate Productboard
Now, click the Productboard node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Productboard settings. Authentication allows you to use Productboard through Latenode.
Configure the AI: Text-To-Speech and Productboard 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 AI: Text-To-Speech and Productboard 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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Productboard
Trigger on Webhook
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AI: Text-To-Speech
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Webhook response

Save and Activate the Scenario
After configuring AI: Text-To-Speech, Productboard, 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 AI: Text-To-Speech and Productboard integration works as expected. Depending on your setup, data should flow between AI: Text-To-Speech and Productboard (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect AI: Text-To-Speech and Productboard
Productboard + AI: Text-To-Speech + Slack: When a new feature request is created in Productboard, AI converts the feature description into speech, and then the audio is shared in a designated Slack channel for quick team review.
Productboard + AI: Text-To-Speech + Email: When new user feedback is added to Productboard as a note, AI converts the note's content into spoken summaries. These summaries are then delivered via email to stakeholders who prefer audio updates.
AI: Text-To-Speech and Productboard integration alternatives
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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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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FAQ AI: Text-To-Speech and Productboard
How can I connect my AI: Text-To-Speech account to Productboard using Latenode?
To connect your AI: Text-To-Speech account to Productboard on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select AI: Text-To-Speech and click on "Connect".
- Authenticate your AI: Text-To-Speech and Productboard accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create voice feedback summaries from Productboard data?
Yes, you can! Latenode's visual editor simplifies this, creating summarized audio feedback directly from Productboard insights to improve product development cycles.
What types of tasks can I perform by integrating AI: Text-To-Speech with Productboard?
Integrating AI: Text-To-Speech with Productboard allows you to perform various tasks, including:
- Generate voice summaries of new feature requests from Productboard for quick reviews.
- Create audio alerts for urgent feature updates in Productboard using AI voices.
- Transcribe user feedback from Productboard and convert them to spoken notes.
- Automatically create voice memos summarizing product insights for team briefings.
- Convert product roadmap updates from Productboard into voice announcements.
Can Latenode handle complex logic between AI: Text-To-Speech and Productboard?
Yes, Latenode supports complex logic with its visual editor and JavaScript blocks, enabling advanced automation scenarios between apps.
Are there any limitations to the AI: Text-To-Speech and Productboard integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large volumes of text data may incur higher AI: Text-To-Speech processing costs.
- Real-time voice updates depend on the API availability of both apps.
- Custom voice profiles might require manual configuration within AI: Text-To-Speech.