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CogniVis AI

    Setup

  • !Font Awesome Free v7.0.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free Copyright 2025 Fonticons, Inc. Quick start
    • Overview
    • Add Your LLM
    • Add Source
    • Define Data Sets
    • Generators
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    • Overview
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    • Overview
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    • Create Automatic Reports
    • Collect Extension Feedback
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    • Confluence
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    • Loopio
    • MediaWiki
    • Notion
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    • ProductBoard
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    • Overview
    • Define Response Style
    • Choose LLM
    • Define Knowledge
    • Improve Search
    • Choose a Time Zone
    • Add Welcome Messages
    • ProfitRoom Tool
    • Image Generator
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    • Choose Who Has Access
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    • Overview
    • Adding WA Bot to a Group
    • Enabling Private Conversations
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  • Other

  • !Font Awesome Free v7.0.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free Copyright 2025 Fonticons, Inc. Automations
    • Simple Reminders
    • Page Change Monitor
    • Google Analytics Monitor
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    • Custom Sources
  • Plugins
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  • Message bots
    • Chat Widget Setup
    • Slack Bot Setup
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ProductBoard AI

AI based on ProductBoard Products

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 your platform, go to the Admin Panel, which you can find in the top right corner of the screen.

Go to the Add Connector section in the menu on the left side of the screen.

Then, search for and select the ProductBoard connector.

Add your ProductBoard token

Add your Access token & press "update" button.

Note: This connector can only be linked once.

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 demo

On-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 ai

Use 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.

  • Introduction
  • Configuration
    • Authorization
    • Indexing
  • Free trial
  • On premise
  • Use cases

CogniVis - AI knowledge base software CogniVis AI

Experts in artificial intelligence creating business solutions for the hospitality industry, private medical practices, and many others.

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  • Dawid Adach
  • Michał Szymański

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