Organize your entire product development cycle seamlessly from high-level epics down to individual user stories and bugs. This template provides product managers and developers with a real-time, highly structured view of exactly what to build next.
The database fundamentally connects four core tables: Users, Epics, Sprints, and Backlog Items. You can easily assign a specific bug to a developer, link user stories to an active sprint, and automatically roll up total story points without manually updating multiple tabs.
It also harnesses built-in AI that automatically drafts testable acceptance criteria for newly added tasks, saving time on documentation. Additionally, the AI automatically summarizes lengthy, complex epic descriptions into quick bullet points so team members can scan them instantly.
Product teams quickly outgrow typical spreadsheets when hundreds of user stories, bugs, and tasks live in an endless, flat grid. Formulas for tracking sprint capacity break frequently, linking specific tasks to overarching epics requires clumsy copy-pasting, and version control becomes a constant nightmare.
In a relational system, data stays perfectly organized at massive scale. Every column enforces a specific rule—like story points, standardized status dropdowns, or assignee lookups—so your backlog never contains mixed or broken data.
Instead of relying on fragile VLOOKUPs, tables naturally connect with one another. You can link a single user story directly to an Epic and a Sprint while simultaneously assigning it to a specific developer.
This robust, relational setup is exactly what Softr Databases are designed for, keeping your product roadmap exceptionally clean as your team grows faster.
Track everything from high-level epic progress down to specific sprint goals and daily tasks in one unified, clear view. You can automatically calculate total story points for active sprints to gauge team capacity instantly.
Thanks to native Database AI agents, the template also does the tedious heavy lifting for you. It writes out automatic acceptance criteria based on standard bug or user story descriptions, saving product managers hours of manual formatting.
Manage product team profiles, roles, and their specific work assignments
Organize large work bodies with AI-generated summaries to track progress
Track timeboxed development periods with specific goals and story points
Store tasks and stories with AI-generated acceptance criteria for testing
This template provides immediate structure for agile teams and technical operators who need a reliable, scalable source of truth.
You can easily adapt this database to match your exact agile rituals right now. Add new backlog item types, modify the status dropdowns to reflect your specific workflows, or tweak the AI prompts natively.
Don't start from scratch if you already have a packed roadmap in another tool. You can effortlessly import your existing user stories and epics via CSV upload, or connect via API to sync your legacy data directly into the tables.
When your team expands, you can transform this relational data into a fully functional product management portal using a drag-and-drop interface builder. A highly structured database makes building apps on top of your data frictionless and fast.
Because the foundation is relational, it is incredibly intuitive to configure users and permissions. This means your developers, designers, and stakeholders will effortlessly log in and only interact with the specific epics or Sprints assigned directly to them.
A product backlog database is an organized system that captures and tracks user stories, bugs, tasks, and overarching epics in a structured format. It enables product teams to map precise relationships between high-level goals and day-to-day sprint executions easily. This guarantees that everyone knows exactly what to build next, without data getting lost in translation.
Using a no-code system allows product managers to deploy a production-ready tracker instantly without waiting for engineers to build internal tools from scratch. It gives you immediate autonomy to adjust workflows, add new statuses, and maintain a highly scalable system. This removes the massive technical bottlenecks associated with custom-coded internal tools.
AI accelerates roadmap planning by instantly processing requirements and summaries directly within your records without executing third-party scripts. AI agents can automatically draft clear, testable acceptance criteria based on a task's title and description the moment it is logged. They can also summarize complex epic descriptions into easily scannable bullet points natively in the table.
Yes, you can seamlessly connect this precise data format to a custom interface to build a full internal product portal without code. You can easily create specific application views tailored for developers, product managers, and executives. You can set robust permissions so that a developer only accesses bugs assigned to them safely.
Yes, it is completely free to get started and copy the structure directly into your workspace. Generous database limits are included right in the free plan to help you map out your initial sprints and essential epics immediately. As your backlog scales, higher-tier plans offer increased record capacity while maintaining unlimited active collaborators.
Spreadsheets require highly fragile VLOOKUPs to connect individual tasks to larger epics, and they severely struggle to enforce strict data types like structured story points or dropdowns. A relational database gives you a reliable architecture where Sprints easily link to Backlog Items naturally. This actively prevents the chaos of accidentally deleted rows, lost bugs, and mixed column types.
Build and launch your first app in under 30 minutes.