The 15 Best AI Tools for Product Managers

Guiding a product's success involves a great deal of responsibility, ranging from researching market and customer needs to shaping a product roadmap to cross-functional team collaboration to acting as the voice of the customer.‍

A product manager's work never seems to be done. 79% of product managers find balancing strategic tasks with day-to-day responsibilities challenging. Managing endless emails, decision overload, and trying to align our stakeholders keeps us from the fantastic parts of our roles: the tasks that hinge on our creativity, imagination, and innovation. 

So, how can you eliminate the repetitive and mundane tasks that distract you from the exciting parts of product management that get you up in the morning? 

Generative AI and AI copilots are your on-hand assistants, empowering you and your team by automating repetitive tasks. These solutions will empower you and your team by automating repetitive tasks so you can focus on the real reasons why you got into product management.

In this article, we explore the high-impact use cases for AI in product management and discover the fifteen best AI tools for product managers to manage every aspect of product development.  

Key use cases for AI in product management

Solutions powered by artificial intelligence are the way to go if you’re looking to enhance your decision-making processes, streamline repetitive tasks, and create a second-to-none customer experience. 

When you consider an AI product manager solution to streamline your workflow, keep an eye out for a tool that will have a high impact on the following use cases:

• Data-driven decision-making: Process market trends and user feedback to empower you to make informed decisions in real-time. 
• Automated documentation: Ramp up the creation of critical product management documents, including writing product requirement documents (PRDs).
• Optimized prioritization and resource allocation: Provide data-driven insights for which features you and your team need to prioritize. 
• Enhanced stakeholder engagement: Automate reports and updates, such as executive summaries, to keep your stakeholders in the loop.
• User and market research: AI tools analyze data from social media, customer support tickets, and industry reports to keep product strategies relevant. 
• Predictive analytics: By automating the testing process, AI product manager tools can elevate product design by identifying user pain points.

Some AI copilots, such as Revo, are comprehensive solutions that can harmonize and streamline all these use cases across your entire product development process.

The 15 best tools for product managers

To make your life easier (we understand product managers are super busy), we’ve gathered the best 15 AI solutions to help you start streamlining your product development lifecycle.

The following list includes comprehensive solutions designed for the entire product management process and lifecycle, as well as some tools you can apply to specific use cases.

1. Revo

Revo is the extra product manager on your team who can help you manage the whole product management lifecycle, from discovery to delivery. 

As a comprehensive product management AI copilot, Revo provides proactive insights to help you shape your product, with functionality such as AI-powered roadmapping, before shipping your product to meet business and customer needs. 

With high integration with tools like GitHub, Jira, Slack, and Notion, Revo’s AI technology enables a seamless flow between insights and execution, ensuring complete control over each stage of continuous and effective product management.

Revo empowers product managers to:

• Automatically generate consistent, complete PRDs swiftly.
• Be their AI-powered product manager who offers tactical insights and guidance when needed.
• Streamline product planning, from roadmap generation to feature prioritization.
• Simplify routine tasks, freeing up time for high-impact activities.
• Leverage advanced analytics to make data-driven decisions based on key metrics and user feedback.

2. ChatGPT

OpenAI’s ChatGPT should be no stranger, and you might be using it for many other things, but it can also be leveraged for specific product management tasks. 

These include tasks supporting product managers in drafting documents, streamlining workflows, and improving decision-making. You and your team can use your conversations with ChatGPT to prioritize ideas, manage data, generate reports, and brainstorm product strategies. 

ChatGPT assists product teams to:

• Produce templates for project documents, product descriptions, and release notes.
• Draft stakeholder communication documents like emails, presentations, and meeting agendas.
• Brainstorm and prioritize new product and feature ideas.

3. Google Gemini (formerly known as Bard)

Another AI tool with a specific use case is Google Gemini, which you can leverage for data analysis, gather user understanding, and inform your decision-making. 

Gemini can fast-track various tasks that consume a lot of product managers’ days, such as processing customer feedback, to ensure your team’s efficiency. The tool's AI features also include the capability for creative tasks like writing scripts or composing music.

Product managers can use Gemini to:

• Analyze customer feedback to identify user needs and pain points. 
• Generate product descriptions and social media content. 
• Ensure search engine optimization for your product pages

4. Motion

Motion is an AI assistant for task management that helps product management teams by automating scheduling and task prioritization. Motion’s AI features include task management, personalized schedules, and intelligent deadlines. 

Leveraging Motion facilitates product teams in scheduling calls and sharing availability easily. The tool allows your team members to reduce the time spent on planning, freeing them up to carry out product strategies and hit those critical targets. 

Product teams use Motion to:

• Automatically prioritize tasks, assign them to calendars, and track team progress.
• Reprioritize workloads in real-time.
• Simplify workflow management by organizing all projects in one tool.

5. Claude Sonnet 3.5

Developed by Anthropic, Claude Sonnet 3.5 is part of the Claude AI model family and is designed to process and generate accurate and coherent text. 

Claude 3.5 Sonnet is great for generating coherent PRDs by automating the breakdown of complex features into manageable user stories and acceptance criteria. The model also supports multiple languages and transcribes static images, including handwritten notes, graphs, and photographs. 

With Claude 3.5 Sonnet, product managers can:

• Generate detailed PRDs.
• Craft coherent product specifications and manage long-form content efficiently.
• Analyze large datasets and process visual data for data-driven decisions.

6. Miro

Miro AI is designed to boost team collaboration and productivity as part of the Miro online whiteboard platform and can be leveraged in product management's design and planning stages. 

Miro’s AI is designed to streamline a product management team’s workflow by simplifying the whiteboard’s tasks and processes. These include generating product briefs, user stories, 3D-rendered images, and mind maps. 

Product teams use Miro AI to:

• Optimize brainstorming sessions by generating and organizing ideas.
• Leverage templates to capture insights and ramp up the unification of information. 
• Automate project management tasks like sprint planning and retrospectives. 

7. June AI

June AI is a tool integrated into the June analytics platform that simplifies product analytics by allowing users to ask questions in plain English. 

To help product managers understand data and analytics, the solution uses GPT-4 to translate the plain English questions into Structured Query Language (SQL) queries, which are then executed on the database to provide insights and visualizations. 

Product managers can use June AI to:

• Ask complex product-related questions in plain English without needing to write SQL queries.
• Make more informed decisions on product development and strategy with easy access to data.
• Generate visualizations of data. 

8. Mixpanel

The product analytics platform Mixpanel is designed to empower product teams to harvest valuable insights into user behavior and interaction patterns. 

Tracking user engagement in real-time supports your team members to make an impact through data-driven decisions. From here, you can optimize product launches and experiments and tailor user experiences—all through analytic functionality designed to accelerate product growth. 

Mixpanel supports product managers by:

• Segmenting users by attributes and behaviors to uncover trends and tailor strategies.
• Conduct A/B testing to experiment with different product prototypes or variations.
• Analyze user funnels to track progress through different stages of the user journey.

9. Amplitude

As an AI-powered product analytics platform, Amplitude enables product managers to use data analytics to impact the big metrics—retention, engagement, and adoption. By harvesting and presenting actionable, valuable insights, the platform aids in making the right sales growth decisions and optimizing the user experience.

Product managers draw on Amplitude to:

• Analyze user behavior to improve engagement, retention, and product performance. 
• Accelerate product adoption by identifying and removing obstacles to ensure seamless user experiences.
• Run efficient, end-to-end experiments using the Amplitude Experiment feature to drive continuous improvement.

10. H2O.ai

Designed to automate and streamline complex natural language processing tasks, product managers will find that H2O.ai enables them to build models that analyze customer behavior. The tool’s powerful learning algorithms ramp up a product team’s data analytics capability to boost market research and drive decision-making. 

H2O.ai gives product managers a boost to:

• Leverage machine learning to create predictive models, classification algorithms, and clustering analyses.
• Gather valuable insights into market trends and customer behavior to guide data-driven product strategies.
• Visualize findings with integration with popular data analytics tools.

11. ProductBoard

Customer feedback is critical for all product management teams to consider. ProductBoard is a product management platform that enables you to visualize and prioritize product features based on customer feedback.

The platform centralizes user insights and aligns them with your objectives, giving you and your team control over maintaining an actionable product roadmap. Collecting, analyzing, and acting on user feedback is simplified to ensure your development process aligns with business goals and customer needs.

Ways ProductBoard enables product teams:

• Collaborate on real-time roadmaps to share product visions, strategies, and goals.
• Reveal valuable insights at scale by centralizing user feedback.
• Prioritize features based on customer feedback, market needs, and strategic importance.

12. Figma AI

Figma AI is the AI-powered feature in the Figma design platform aimed at enhancing designers' creativity and efficiency. For product managers, Figma can be leveraged to build mockups and designs without having the technical know-how of a designer. 

Figma AI enables product teams to:

• Quickly transform static mockups into interactive prototypes.
• Streamline the process of managing and organizing design resources.
• Stay informed with clear design status updates. 

13. Cursor

Next, Cursor empowers product managers to build prototypes in code without being a developer. The tool is an AI-powered code editor with intelligent autocomplete capabilities and the ability to complete multiple lines. 

With Cursor, product teams can:

• Ensure high code quality through AI-powered code suggestions and debugging assistance.
• Accelerate iteration cycles with predictive code completions and automation of repetitive tasks.
• Enhance collaboration with real-time chat-based coding and AI-assisted discussions.

14. Notion AI

Integrated into Notion’s productivity and collaboration platform, Notion AI is an AI-powered tool designed to streamline content creation and management.

Another great tool for documentation management,  Notion AI can summarize complex information and generate actionable insights at pace. With a keen eye for ensuring clear team communication, the tool makes the product development lifecycle more efficient. 

How Notion AI impacts product management:

• Organize meeting notes and automatically create action items.
• Condense lengthy reports and documents into concise summaries.
• Ensure error-free content with AI-powered spelling and grammar checks.

15. Canva

Product managers can leverage Canva to enhance visual communication and collaboration across teams.

With Canva’s AI-powered features and a wide array of templates, teams can create visually appealing content quickly. Whether the visuals are for presentations, social media, or marketing materials, the tool streamlines the design process to enable you to communicate effectively with your team members and stakeholders.

Ways Canva supports product teams:

• Create visual content for clear and impactful communication.
• Collaborate in real-time using the Whiteboard tool.
• Utilize a library of customizable templates to create professional-quality designs.

Take the first step: Test the tools

The right AI tool will depend on the use cases you’re looking to streamline and your workflow needs. 

If you’re unsure where to start, we recommend trying out Revo, built specifically for product managers and the entire product manager lifecycle to be an expert in your product.