Amplitude
Score: 86Amplitude — product management with Product analytics and experimentation.
Why We Picked It
Amplitude is the industry benchmark for product analytics — its experimentation platform, behavioral cohorts, and causal inference engine set it apart from lighter analytics tools. The CDP unifies user data across touchpoints, while AI-powered anomaly detection catches metric shifts before they impact the business. Warehouse-native architecture means your data stays where it lives. The free tier is generous enough for growing teams, and the depth of its analytics stack makes it the backbone for data-driven product decisions.
- Product analytics and experimentation
- Journeys, cohorts, and causal insights
- CDP and personalization
- AI anomaly detection and insights
Mixpanel
Score: 76Mixpanel — product management with Self-serve product analytics for funnels and retention.
Why We Picked It
We picked Mixpanel for its analytics and reporting. It is a strong fit for large teams on product teams, with native integrations for Slack.
- Self-serve product analytics for funnels and retention
- Cohorts, signals, and alerts
- Boards and collaboration
- AI-assisted query and insights
Jira
Score: 74Jira Product Discovery by Atlassian — product management with idea capture, scoring, and prioritization.
Why We Picked It
We picked Jira for its planning and portfolio depth and analytics and reporting. It is a strong fit for large teams on product teams, with native integrations for Jira and Slack.
- Idea capture, scoring, and prioritization
- Customer feedback links and evidence
- Roadmaps tied to Jira Software delivery
- AI summaries and insights
Productboard
Score: 73Productboard — product management with Feedback aggregation and insights repository.
Why We Picked It
We picked Productboard for its planning and portfolio depth and analytics and reporting. It is a strong fit for large teams on product teams, with native integrations for Jira and Slack.
- Feedback aggregation and insights repository
- Prioritization frameworks (RICE, etc.)
- Roadmaps and delivery alignment
- AI-assisted clustering and summaries
BuildBetter
Score: 70BuildBetter — product management with AI-powered analysis of customer conversations.
Why We Picked It
We picked BuildBetter for its analytics and reporting and speed and usability. It is a great pick for growing teams on product teams, with native integrations for Slack and Microsoft Teams.
- AI-powered analysis of customer conversations
- Automatic extraction of product insights from calls and meetings
- Real-time transcription and summarization
- Product opportunity identification from user feedback
FullStory
Score: 69FullStory — product management with Session replay and digital experience insights.
Why We Picked It
We picked FullStory for its analytics and reporting. It is a strong fit for large teams on product teams, with native integrations for Jira and Slack.
- Session replay and digital experience insights
- Signals and conversion analysis
- Error and console event capture
- AI-driven pattern detection and anomalies
airfocus
Score: 67airfocus — product management with Modular product OS with custom workflows.
Why We Picked It
We picked airfocus for its powerful automations and planning and portfolio depth. It is a great pick for growing teams on product teams, with native integrations for Jira and Slack.
- Modular product OS with custom workflows
- Scoring, prioritization, and roadmapping
- Feedback portal and insights apps
- AI assistant for suggestions and drafting
Pendo
Score: 66Pendo — product management with In-app analytics and user guides.
Why We Picked It
We picked Pendo for its planning and portfolio depth and analytics and reporting. It is a strong fit for large teams on product teams, with native integrations for Slack and Salesforce.
- In-app analytics and user guides
- Feedback and roadmapping (Pendo Feedback)
- Retention and path analysis
- AI insights for usage patterns
Monterey AI
Score: 66Monterey AI — product management with AI-powered analysis of unstructured customer feedback.
Why We Picked It
We picked Monterey AI for its analytics and reporting. It is a strong fit for large teams on product teams, with native integrations for Slack and Salesforce.
- AI-powered analysis of unstructured customer feedback
- Automated insight extraction from support tickets, reviews, and surveys
- Sentiment analysis and trend identification
- Integration with customer communication channels
Hotjar
Score: 64Hotjar — product management with Heatmaps and session recordings.
Why We Picked It
We picked Hotjar for its analytics and reporting and built-in AI assistance. It is a great pick for growing teams on product teams, with native integrations for Slack.
- Heatmaps and session recordings
- In-product surveys and feedback widgets
- AI summaries of user sessions
- Funnels and behavior insights
Qualtrics XM for Product
Score: 64Qualtrics XM for Product by Qualtrics — product management with Voice of Customer surveys and PX programs.
Why We Picked It
We picked Qualtrics XM for Product for its powerful automations and analytics and reporting. It is a strong fit for large teams on product teams, with native integrations for Slack and Salesforce.
- Voice of Customer surveys and PX programs
- Conjoint testing and concept validation
- Text analytics and AI insights
- Closed-loop feedback and workflows
Dovetail
Score: 61Dovetail — product management with User research repository and tagging.
Why We Picked It
We picked Dovetail for its analytics and reporting. It is a great pick for growing teams on product teams, with native integrations for Jira and Slack.
- User research repository and tagging
- Transcription and AI thematic analysis
- Insights, highlights, and templates
- Participant management and consent
Craft.io
Score: 59Craft.io — product management with Strategy-to-delivery alignment with roadmaps.
Why We Picked It
We picked Craft.io for its planning and portfolio depth and analytics and reporting. It is a great pick for growing teams on product teams, with native integrations for Jira and Slack.
- Strategy-to-delivery alignment with roadmaps
- Prioritization frameworks and scorecards
- Spec editor and feedback capture
- AI assistant for PRDs and insights
Frequently Asked Questions
What AI analytics tools do product managers need?
Product managers need AI tools that surface behavioral patterns, automate funnel analysis, predict churn, and generate actionable insights from usage data without requiring SQL skills.
How do AI analytics tools differ from traditional analytics?
AI analytics tools automatically detect anomalies, predict trends, segment users, and generate natural-language insights — reducing the time from data to decision from hours to minutes.