This template helps product teams capture, organize, and prioritize customer feedback in one connected system. It turns scattered requests into a clear, actionable product roadmap.
Core tables for Users, Customers, Feature Requests, and Releases link together natively. When a customer submits a request, it automatically connects to their company profile and gets assigned to a product manager.
Built-in AI automatically categorizes new requests based on their description. It also researches customer websites to draft company descriptions, and instantly generates grouped, customer-facing release notes.
Relying on spreadsheets to track product feedback quickly becomes chaotic. As requests pile up, rows get duplicated, details get lost, and tracing a feature back to the exact requesting customer is nearly impossible.
A relational setup enforces clean data by linking objects naturally, letting you connect a single bug report to multiple users without copy-pasting across messy rows. Every column enforces a strict data type, ensuring statuses, priorities, and target dates never break.
This is exactly what Softr Databases are designed for.
Log incoming features and assign them instantly to product managers based on urgency. You can then bundle completed requests into structured release versions to keep your development pipeline moving.
Thanks to native AI capabilities, this feedback system self-maintains. It automatically summarizes complex technical features into user-friendly release notes and categorizes incoming bugs instantly.
Manage system accounts, profiles, and roles for product managers and customers
Store organization details with AI-powered web search for company descriptions
Track product ideas and bugs while using AI to auto-classify request categories
Plan product updates and utilize AI to generate summarized release notes
This template provides out-of-the-box value for product-led organizations aiming to build what their users actually want.
You can easily tailor this database to match your current product cycle. Edit the priority dropdowns, add custom fields for technical specs, or adjust the AI prompts to match your company's tone.
Connect your existing feedback instantly via bulk CSV import. This allows your team to upload historical backlogs and start with a fully populated roadmap on day one.
When you are ready, transform this tracker into a complete product portal. You can create a public roadmap or a customer-facing submission form that writes directly to your database.
By applying flexible users and permissions, you securely control exactly what internal teams and external customers can see. Starting with a well-structured database makes building these robust web applications effortless.
A feature requests database is a structured system that centrally tracks product ideas, enhancements, and bugs. It helps teams organize user feedback, prioritize what to build next, and plan upcoming software releases efficiently.
A no-code database gives product teams complete autonomy to build and adjust their tracking tools without waiting on developers. It delivers an immediate, production-ready structure that avoids the fragility and scale limitations of traditional spreadsheets.
Softr's AI Database co-builder helps you quickly set up distinct fields and filters for your feedback systems. Furthermore, Database AI agents can act autonomously on your data triggered by new entries. For example, they can instantly categorize incoming bug reports or summarize technical ticket lists into friendly release notes without manual intervention.
Yes, you can seamlessly connect your backend data to build an app using Softr's drag-and-drop tools. This lets you build dedicated portals for product managers to approve tickets, or public boards for customers to submit ideas. You configure permissions so customers only see their own submissions while your team views the entire roadmap.
Yes, it is completely free to get started. Softr includes fully functional databases in its free plan, allowing you to use and adapt this template immediately. Higher-tier plans offer increased database limits for scaling teams, and all plans include unlimited collaborators.
Unlike simple spreadsheets, a dedicated database links related data natively—such as connecting multiple user requests to a single product release. This removes reliance on fragile VLOOKUP formulas and ensures smooth scalability. It also enforces strict data types, guaranteeing that statuses and critical dates remain uniform as your backlog grows.