This template gives engineering and product teams a central hub to log tickets, assign owners, and manage resolution workflows without losing context.
It connects four dedicated tables: Issues, Projects, Sprints, and Users. Linking an issue to a sprint and project automatically rolls up totals and preserves full assignment history without duplicate rows.
Built-in AI fields automatically summarize long ticket descriptions, categorize ticket types, and assign priority ratings based on urgency.
Google Sheets makes sharing easy, but tracking complex issue queues across tabs quickly leads to broken formulas, missing assignees, and accidental row edits.
In a structured database, every field enforces real data types. Dates stay formatted, status values remain consistent, and sprint deadlines never mix with free-form notes.
Issues link directly to projects and assignees without complex cross-tab formulas that break when someone sorts a column. This is exactly what Softr Databases are designed for.
While you can connect an existing Google Sheet as an external data source in Softr, using a dedicated native database prevents permission leaks and ensures rock-solid stability as ticket volume grows.
Organize tickets across active sprints and assign them to specific team members with clear visibility on status and priority.
Use native Database AI agents to evaluate ticket descriptions, assign priority levels, and research technical framework context directly inside your project records.
Monitor delivery progress across your entire team with reliable rollup counts that update automatically as issues move to completion.
Manage team members, roles, contact profiles, and issue assignments
Coordinate project initiatives with AI-powered tech framework research
Plan development cycles with time-boxed goals, dates, and related tickets
Track tickets with AI-generated summaries, priorities, and type tags
Manage software delivery and bug resolution across your organization with structured tracking.
Customize your issue tracking workflow by adding custom fields like component tags, release versions, or severity dropdowns directly in the visual builder.
Import your existing backlog via CSV upload or connect external tools through our API to sync tickets automatically from customer support channels.
When your team is ready, build an app on top of this database. Softr lets you generate custom issue portals, developer dashboards, and client submission forms with granular users and permissions to control exactly who can view, edit, or triage specific tickets.
An issues database is a structured system used to log, categorize, assign, and track software bugs, product enhancements, and operational tasks. It replaces disorganized spreadsheets by linking tickets directly to projects, sprints, and team members.
A no-code database allows teams to build production-ready issue management systems in minutes without writing custom code or managing server infrastructure. It provides field validation, relational links, and easy visual customization that business operators can maintain independently.
Integrated Database AI agents can read incoming ticket descriptions to auto-generate summaries, assign priority levels, and categorize issue types instantly. They can also browse the live web to enrich project records with documentation and framework best practices.
Yes, you can use the AI app generator to turn this database into a complete portal or internal issue tracking dashboard in a single prompt. You can configure granular permissions so engineers only see their assigned tickets while managers oversee all projects.
Yes, this template is free to use on Softr's free plan. You get access to native database capabilities and unlimited collaborators, with higher-tier plans available for expanded record limits and advanced features.
Unlike Google Sheets, a structured database enforces field types, prevents accidental formula breaks when sorting, and allows native record linking between issues, sprints, and users. It also enables you to build secure interfaces with restricted user views without exposing your entire data sheet.
Build and launch your first app in under 30 minutes.