How to connect Google Cloud Text-To-Speech and Productboard
Create a New Scenario to Connect Google Cloud Text-To-Speech and Productboard
In the workspace, click the “Create New Scenario” button.

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

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


Google Cloud Text-To-Speech

Configure the Google Cloud Text-To-Speech
Click on the Google Cloud Text-To-Speech node to configure it. You can modify the Google Cloud 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 Google Cloud 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.


Google Cloud Text-To-Speech
⚙

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 Google Cloud 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 Google Cloud 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 don’t 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.

JavaScript
⚙
AI Anthropic Claude 3
⚙

Productboard
Trigger on Webhook
⚙

Google Cloud Text-To-Speech
⚙
⚙
Iterator
⚙
Webhook response


Save and Activate the Scenario
After configuring Google Cloud Text-To-Speech, Productboard, and any additional nodes, don’t 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 “Run once” and triggering an event to check if the Google Cloud Text-To-Speech and Productboard integration works as expected. Depending on your setup, data should flow between Google Cloud 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 Google Cloud Text-To-Speech and Productboard
Productboard + Google Cloud Text-To-Speech + Slack: When a new note is created in Productboard, its content is converted to speech using Google Cloud Text-To-Speech. The audio file is then sent to a designated Slack channel for easy listening and review.
Productboard + Google Cloud Text-To-Speech + Google Docs: When a new feature is added to Productboard, the feature description is synthesized into audio using Google Cloud Text-To-Speech. Both the original text description and the audio file location are appended to a Google Docs document.
Google Cloud Text-To-Speech and Productboard integration alternatives

About Google Cloud Text-To-Speech
Use Google Cloud Text-To-Speech in Latenode to automate voice notifications, generate audio content from text, and create dynamic IVR systems. Integrate it into any workflow with a drag-and-drop interface. No code is required, and it's fully customizable with JavaScript for complex text manipulations. Automate voice tasks efficiently without vendor lock-in.
Similar apps
Related categories

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.
Related categories
See how Latenode works
FAQ Google Cloud Text-To-Speech and Productboard
How can I connect my Google Cloud Text-To-Speech account to Productboard using Latenode?
To connect your Google Cloud Text-To-Speech account to Productboard on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Text-To-Speech and click on "Connect".
- Authenticate your Google Cloud Text-To-Speech and Productboard accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I announce new features via voice using Productboard data?
Yes, you can! Latenode's no-code interface makes it easy to trigger voice announcements in Google Cloud Text-To-Speech whenever a new feature is released in Productboard, keeping stakeholders instantly informed.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with Productboard?
Integrating Google Cloud Text-To-Speech with Productboard allows you to perform various tasks, including:
- Automatically generate audio summaries of new feature requests.
- Create voice notifications for Productboard roadmap updates.
- Announce product releases via voice using Productboard data.
- Generate audio feedback summaries from Productboard user insights.
- Create voice alerts for urgent product issues reported in Productboard.
How do I handle authentication errors in Google Cloud Text-To-Speech?
Latenode provides detailed error logs and re-authentication options to quickly resolve Google Cloud Text-To-Speech connection issues.
Are there any limitations to the Google Cloud Text-To-Speech and Productboard integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may experience processing delays.
- Productboard API rate limits may affect high-volume workflows.
- Custom SSML support is subject to Google Cloud Text-To-Speech capabilities.