Productboard
Customers share feedback constantly during support chats. Your AI agent captures it as structured Productboard notes, tags it by topic, and links it to the right feature. Product teams see prioritized, conversation-sourced insights without lifting a finger. Feedback finally flows from chat to roadmap.
Your AI agent turns customer conversations into actionable Productboard data, creating notes, tagging feedback, looking up features, and keeping your product team informed without manual data entry.
Productboard
Watch how customer conversations transform into prioritized product insights, with AI capturing feedback, tagging it, and linking it to your Productboard roadmap in real time.
A customer messages 'I wish your app had offline mode.' Your AI Agent creates a Productboard note titled 'Offline mode request', tags it with 'Mobile' and 'Feature Request', and links it to the customer's email. The product team sees a new insight in their board the next morning. No support agent copied anything. No feedback fell through the cracks.
An enterprise prospect asks 'Are you planning SAML SSO support?' Your AI Agent queries Productboard features, finds 'SAML SSO' is in the 'In Progress' status with a Q3 release assignment, and shares this with the prospect. The sales conversation continues with concrete timeline information instead of vague promises. Deal velocity increases.
A customer success manager's AI agent detects that Acme Corp is chatting again. Before responding, the agent retrieves Acme's company profile from Productboard, pulls their associated notes and feature requests, and sees they have asked about API rate limits three times. The response acknowledges the history and provides a progress update. Customers feel heard.
Productboard
FAQs
The agent analyzes the customer's message to extract the core feedback, then calls Productboard's Create Note endpoint with a title, content body, customer email, and relevant tags. It uses the conversation context to determine appropriate categorization. Each note is attributed to the customer who provided the feedback.
Yes. The agent uses the List Features endpoint with pagination to search your feature board. It can also retrieve a specific feature by ID to check its status, description, and linked initiatives. If the feature exists, the agent shares its current status with the customer.
Tars supports both OAuth and API key authentication. For API key access, generate a token in your Productboard workspace under Integrations, then Public APIs, then Access Token. OAuth provides one-click authorization. Either method grants the agent access to features, notes, companies, and releases.
No. All Productboard data is queried in real time via the API during active conversations. Feature statuses, note contents, and company profiles are fetched live and used only to generate responses. Nothing is cached or stored on Tars servers after the conversation.
Yes. After creating a note, the agent calls the Add Note Tag endpoint with tags inferred from the conversation, such as 'Bug Report', 'UX Feedback', or 'Enterprise Request'. If a tag does not already exist in Productboard, it is created automatically. Tags help your product team filter and prioritize incoming feedback.
Productboard's native integrations capture support tickets as notes. Tars captures conversational feedback, meaning the agent understands context, asks clarifying questions, and structures the feedback before sending it to Productboard. The result is cleaner, more actionable notes with better tagging and attribution.
Yes. The agent retrieves feature-release assignments filtered by feature or release ID, including timeframe dates and release states. If a feature is assigned to a release with a defined end date, the agent can share that estimated timeline with the customer during the conversation.
The agent searches the feature list and, finding no match, lets the customer know it is not currently on the roadmap. It then offers to capture their request as a new Productboard note, ensuring the feedback is recorded for the product team to review during their next prioritization cycle.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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