Introduction
What is Productboard?
Productboard is a product management tool designed to help teams collect user feedback, prioritize features, and create roadmaps. It centralizes customer insights and aligns product development with business goals, making it easier to build products that users love and need. Ideal for teams looking to streamline their product development process.
What is CogniVis AI?
CogniVis AI is a platform that enables you to pull data from different
sources and combine them with each other to
create practically useful AI tools. Sources may include
your internal company knowledgebase and a variety of
most popular business apps like GitHub, Jira, Slack,
and more.
This enables you to easily create
AI chatbot assistants (internal),
custom generators and even
embeddable AI chat widgets trained on your data.
How CogniVis AI works with Productboard?
The Productboard Connector integrates with your Productboard account to extract key product management data, helping you analyze feedback, prioritize features, and manage product roadmaps.
What exact sources are pulled:
- Features:
- Feature name
- Feature description
- Feature status (e.g., Planned, In Progress, Completed)
- Feature owner
- Feature URL
- Feedback:
- Feedback content
- Feedback date
- Associated feature or product
- Roadmaps:
- Roadmap name
- Roadmap status (e.g., Draft, Final)
- Roadmap URL
Configuration
Generate an Access Token
To connect CogniVis AI with ProductBoard, you need to generate an Access Token in ProductBoard. This token will be used to authenticate the connection between CogniVis AI and ProductBoard. See the detailed instructions in the ProductBoard Access Tokens guide.
Sign In
Sign into your ProductBoard account.
Navigate to Access Tokens
Expand the dropdown in the top left corner, go to "Integrations," scroll all the way down to the "APIs" section, and select "Access Token".
Generate a new token
Click on + Add Token button
- copy the generated key
- You can name your token something like "CogniVis Connector".
Add the connector to CogniVis
Navigate to CogniVis Connectors
In CogniVis, go to Admin Panel, then in the sidebar choose Add connector. You will find the ProductBoard connector setup page there.
Open ProductBoard connector setup pageAdd your ProductBoard token
Add your Access token & press "update" button.
Define access
After deciding whether the documents should be public or not, press the connect button.
Free trial
If you are interested in creating your own automations and workflows with artificial intelligence based on your data, you can request a free trial of our solution. Please book a demo with us to get started.
book a demoOn-premise
Enterprise organizations can choose to deploy this connector on-premise. On-premise deployment provides additional security and privacy, it means that the connector will be hosted on your own servers which you can control and manage.
This option is suitable for organizations that have strict data privacy and security requirements, want to integrate with their existing infrastructure, or need to comply with specific local regulations.
Contact our team & learn about options of deploying this connector on premise.
book a demo learn more about on-premise aiUse cases
Check out potential benefits and use cases for this connector.
Enhanced Feature Prioritization
AI can analyze feedback content and associated features to prioritize features based on user needs and pain points. This ensures that the most impactful features are developed first, aligning product development with customer expectations and increasing user satisfaction.
Intelligent Roadmap Planning
By examining the statuses and URLs of roadmaps, AI can provide predictive analytics on project timelines and potential roadblocks. This helps in creating realistic and achievable product roadmaps, reducing delays and ensuring timely delivery of features.
Automated Feedback Summarization
AI can summarize the vast amounts of user feedback into key themes and insights. This helps product managers quickly understand what users are saying without having to read each feedback entry individually, saving time and improving decision-making processes.
Feature Performance Metrics
AI can track the status and progress of features (Planned, In Progress, Completed) and provide insights on feature performance. This allows teams to measure the impact of each feature on product success and make data-driven decisions for future developments.
Personalized User Engagement
By analyzing feedback content and its associated features, AI can help create personalized responses to user feedback. This enhances user engagement and shows that their input is valued, fostering a stronger relationship between users and the product team.
Predictive Feedback Analysis
AI can identify patterns in feedback content over time, predicting emerging trends and potential issues before they become critical. This proactive approach allows product teams to address problems early and stay ahead of user needs.
Efficient Resource Allocation
By understanding which features are most critical and their associated effort, AI can help in optimizing resource allocation. This ensures that the team focuses on high-priority tasks that will deliver the most value, improving overall productivity and efficiency.
Cross-team Collaboration
AI can extract and share relevant Productboard data (features, feedback, roadmaps) across different business apps like Slack or Jira. This promotes better collaboration among cross-functional teams, ensuring everyone is aligned and working towards common goals.
Real-time Progress Tracking
AI can continuously monitor the status of features and roadmaps, providing real-time updates and insights. This keeps the team informed about the project's progress and any changes, enabling quick adjustments to stay on track.
Strategic Decision Support
By integrating various data points from Productboard, AI can provide strategic recommendations for product development. This helps leaders make informed decisions that align with business goals and market demands, driving long-term success.