Transform Your Product Analytics with User-Driven Insights

Building great embedded analytics features requires understanding exactly how your users interact with charts, dashboards, and data exports. This Product Analytics Feedback Form helps SaaS companies and startups collect structured feedback on their data visualization tools, ensuring your analytics features truly serve your customers' needs.

Whether you're a product manager gathering feature requests, a developer tracking bug reports, or a customer success team measuring satisfaction with your analytics suite, this template captures the detailed insights you need to prioritize your roadmap effectively.

Why SaaS Companies Need Specialized Analytics Feedback

For SaaS platforms offering embedded analytics—whether you're a business intelligence tool, project management system, or any application with data visualization—getting granular feedback on chart types, customization options, and export formats is critical. This form helps you understand which visualizations users love, what customization options they're missing, and how they want to export their data.

The template includes conditional logic to route technical bug reports separately from feature requests, ensuring your engineering and product teams get the right information in the right format. Satisfaction ratings help you spot trends, while open-ended questions uncover unexpected use cases.

Automate Your Feedback Workflow with Stepper

Once you've collected analytics feedback, you can use Stepper to automatically route submissions to the right team members. Send bug reports straight to your engineering board in Linear or Jira, route feature requests to your product management tool, and trigger follow-up emails for users who report critical issues. Keep your team responsive without manual triage.

Built for product teams, engineering managers, customer success specialists, and founders at SaaS companies and startups who need to iterate quickly based on real user feedback. This form template helps you build analytics features your users actually want.