This template gives your product team a single, reliable hub to manage specifications, features, and task assignments. Keep your product specs connected directly to active sprint tasks so engineers always have the full context.
Five dedicated tables for Users, Products, PRDs, Feature Requests, and Sprint Backlogs work together natively. Every document relates to a broader product module, and every sprint task points back to its source specification.
Equipped with database AI agents, this database drafts executive summaries of your PRDs, outlines technical requirements, and writes acceptance criteria automatically.
When managing a complex product lifecycle, choosing where your data lives is a critical decision. While Airtable provides a relational structure, scaling a product team on it often leads to unexpected bottlenecks.
Instead of paying per-seat fees just so developers and designers can view specifications, you can work with unlimited collaborators under flat-rate structures. Highly active product teams also avoid the fast-approaching API and record limit caps of older database tools.
This is exactly what Softr Databases are built for. You get the same powerful relational foundations, coupled with built-in tools to display, automate, and protect your data.
Directly link your high-level product modules to authors and technical specs. Your engineering team can move feature requests into development while referencing the original PRD lookup fields in one click.
Because database AI agents run inside columns, you can automatically convert rough feature descriptions into standardized acceptance criteria as tasks move onto the sprint backlog.
Track team members with roles, contacts, and linked product work
Manage applications and high-level product modules under development
Specify product requirements using AI to generate key executive summaries
Draft detailed deliverable requirements utilizing AI-driven PM insights
Track task statuses and effort estimates with AI-generated acceptance criteria
Adjust fields to match your team's specific product frameworks. You can easily add custom status states, change category drop-downs, or append rating systems for feature prioritization in a visual workspace.
Migrate existing roadmaps and backlogs in seconds. Use the CSV import tool to pull in specs from legacy documents, or connect other design systems via API to sync product data instantly.
When your team is ready, you can easily generate an app with AI directly on top of this database. Build a dedicated client portal or developer dashboard with custom users and permissions to control who can view, draft, or approve specifications.
A product requirements database is a structured repository that stores product specifications, technical specs, and development backlogs. It centralizes product documentation and connects high-level initiatives directly to the engineering team's actionable sprint tasks.
No-code databases are fast to deploy, highly flexible, and can be customized by non-technical product managers. They give teams full autonomy to build tailored spec sheets and roadmaps without relying on development resources to manage internal tooling.
Built-in database AI agents can generate summaries of lengthy product definitions, draft detailed technical requirements, and write consistent sprint acceptance criteria automatically. This saves product managers hours of routine copywriting and ensures engineering tickets remain detailed.
Yes, you can easily build an app on top of this database to create custom dashboards for designers, engineers, and stakeholders. Softr lets you secure your database records with granular user permissions, so developers see sprint tasks while stakeholders only see high-level roadmaps.
Yes, this template is completely free to copy and use. Softr Databases are included in our free plan, and all plans include unlimited collaborators so you can share your database with your entire team without paying per-seat fees.
While it features the same relational records, this template lives on a platform designed to scale without punishing collaborator pricing. You can import Airtable data in a few clicks, configure native AI agents inside fields, and instantly share the data with unlimited team members.
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