We Tested the 10 Best AI Tools for Product Managers in 2025

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Being a product manager in 2025 means staying ahead of the curve, mastering data, keeping up with customers’ changing demands, and effectively collaborating with cross-functional teams. With AI-powered tools evolving rapidly, the right technology can now act as a true partner in strategy, execution, and decision-making. We put ten of the most promising AI tools for product managers to the test — here’s what we found.

1. Notion AI – Your AI Brainstorming Partner

Notion AI has grown from a note-taking and workspace app into a powerful AI assistant. Product managers use it to generate user stories, summarize meeting notes, and even help craft PRDs (Product Requirements Documents).

  • Generates release notes in natural language
  • Helps with product brainstorming and outlining strategies
  • Integrates seamlessly into Notion’s flexible workspace

2. ClickUp Brain – Task Optimization on Steroids

ClickUp Brain is more than your average project management tool. The AI suggestions help structure roadmaps, prioritize feature backlogs, and estimate sprint durations based on historical data.

Best for: Teams managing complex deliverables with multiple stakeholders and integrations.

3. Jasper AI – The Copywriter in Your Pocket

Jasper AI is a go-to tool for crafting marketing copy, release announcements, and even onboarding emails. Its AI uses contextual tone detection and brand voice customizations that help maintain consistency across platforms.

  • Great for A/B testing content strategies
  • Integrates with CMS tools and Slack

4. Airfocus – Intelligent Prioritization Frameworks

Airfocus lets product teams score and prioritize features using RICE, MoSCoW, and other classic prioritization methods, now turbocharged by AI. Its algorithms auto-adjust scores based on customer feedback patterns and business goals updates.

Standout Feature: Smart clustering of user feedback into top request categories.

5. UserVoice Insights – Voice of the Customer, Smarter

This AI-powered version of UserVoice goes beyond gathering feedback. It identifies trends, measures churn-risk factors in open-text surveys, and recommends features that align with your product vision.

Why it matters: Accurate insights allow product managers to make evidence-based decisions without drowning in spreadsheets.

6. Productboard with AI Assist – End-to-End Product Discovery

Productboard’s AI Assist helps connect qualitative feedback directly to your product strategy. It tags ideas from support tickets and customer interviews, then aligns them with roadmap objectives to reduce planning time significantly.

  • Supports product-market fit assessments
  • Built-in sentiment analysis tools

7. Amplitude AI – Advanced Product Analytics

Amplitude AI plugs into your user data and converts it into predictive usage patterns. You can detect risks of drop-off, model behavior funnels, and test new features using automated experimentation tools.

Great for: Experimentation-heavy teams and data-driven product strategies.

8. Figma AI – Smarter UX Collaboration

Figma now features an AI assistant that can create design mocks based on voice-guided prompts. Need a UX flow for a B2B checkout process? Just describe it, and Figma AI builds a prototype draft you can edit with your team.

Bonus: Real-time usability suggestions and A/B testing mockups.

9. Craft.io AI Layer – Strategy Meets Execution

Craft.io focuses on translating strategic objectives into executable plans. The AI recommends best practices, points out roadmap inconsistencies, and even assesses whether product initiatives align with stakeholder priorities.

Notable Tool: AI-generated spec templates and prioritization cues.

10. Miro AI – AI for Collaboration and Innovation

Miro AI supports PMs during workshops, brainstorming sessions, and mind-mapping. It summarizes whiteboard sessions, rearranges ideas into actionable flows, and helps teams stay aligned in fully remote or hybrid environments.

Best used when: Running product vision exercises or innovation sprints.

Final Thoughts

AI tools for product managers in 2025 are no longer about just saving time—they’re about boosting capability. From content creation and feedback analysis to better prioritization and roadmap alignment, these tools empower PMs to focus on what’s truly important: building products that delight users and drive value.

As AI becomes more integrated into daily product workflows, choosing the right tools could be the determining factor in achieving product-market success. While no tool can replace good judgment and human empathy, these AI companions can certainly amplify your product strategy’s power.