This template centralizes your product roadmap, backlog items, and sprint cycles in one structured system. It gives engineering and product teams total clarity on priorities without maintaining disconnected task lists.
Four dedicated tables for Users, Epics, Sprints, and Backlog Items connect your work automatically. When you assign a user story to a sprint or link a task to an epic, story point rollups and progress indicators update instantly across your entire backlog.
Built-in AI fields draft testable acceptance criteria directly from story descriptions and generate executive summaries for epics, keeping technical specifications crisp and up to date.
A blank spreadsheet cannot handle the relational hierarchy that modern agile product management requires. When user stories, epics, and sprint assignments live in unstructured rows, story points drift, owners get confused, and sprint capacity calculations break.
A relational database enforces clean data types so story points stay numeric, dates remain structured, and owners link directly to real team profiles.
Instead of copy-pasting epic titles into every task row, native record links automatically calculate total items count and sprint velocity across tables.
This is exactly what Softr Databases are designed for: giving your product team structured data integrity without needing database administrators.
Organize bugs, user stories, and technical tasks while connecting them directly to timeboxed development cycles. Track overall epic completion in real time as developers complete individual sub-tasks.
Use native Database AI agents to turn messy feature requests into standardized acceptance criteria and concise epic bullet points on autopilot.
Manage product team members, job roles, and assigned backlog work
Track high-level initiatives and generate concise AI bullet summaries
Plan development cycles with timelines, goals, and story point rollups
Track stories and tasks with AI-generated acceptance criteria drafts
This system helps software and product teams streamline planning, prioritization, and execution.
Customize your backlog structure by adding custom tags, sprint retrospectives, or priority rankings like MoSCoW and RICE scores. You can adjust select choices, add QA validation fields, or create new views in seconds.
Import your existing product tasks in bulk using CSV uploads or connect your live engineering pipelines via API to keep your database synchronized.
Build a full product portal around it whenever you are ready. Use the AI app generator to describe your ideal internal PM portal or stakeholder dashboard, and Softr will generate the user interface, workflows, and users and permissions directly on top of this database.
A product backlog database is a structured system used to prioritize, manage, and track software development work. It connects high-level product initiatives (epics) with actionable tasks (user stories and bugs) and timeboxed delivery cycles (sprints).
A no-code database provides relational power, automated rollups, and strict field validation without complex setup. It gives product managers the flexibility to adapt workflows instantly as their agile process evolves.
AI assists by drafting detailed acceptance criteria, summarizing complex epic scopes, and standardizing task descriptions. With Database AI agents, these enrichment tasks run automatically whenever new backlog items are created or updated.
Yes. You can use Softr's AI app generator to generate a dedicated PM workspace or developer task portal on top of this data. You can set granular users and permissions so developers see active sprint tasks while executives view high-level epic roadmaps.
Yes, this template is completely free to copy and use. Softr Databases are included on free plans with unlimited collaborators, and you can upgrade whenever you need larger record limits or advanced app features.
Yes, the database is fully customizable. You can rename columns, add story point estimation scales, create new item types, and modify sprint cadences to match your exact agile development process.
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