Track customer support requests, assign them to your agents, and monitor client SLAs all in one structured workspace. This template gives you immediate control over your entire support ecosystem.
It natively links your Users, Organizations, Tickets, and Interactions together without any messy formulas. When a customer submits a new issue, your team can instantly view all past communications and company history.
Built-in AI automatically predicts ticket priority, routes them to the right department, and even drafts polite responses instantly to save your agents time.
When customer requests pile up, a traditional spreadsheet quickly becomes a chaotic mess of overlapping updates and forgotten follow-ups. You need a system that actually scales with your daily ticket volume.
Every column has a strict purpose, so ticket statuses stay neat and long descriptions don't get lost in giant text cells. You can securely link an open request directly to a client's profile without relying on fragile copy-pasting across rows.
This is exactly what Softr Databases are designed for. They keep your entire support pipeline organized, connected, and completely clean as your team handles more clients.
You can start logging new tickets instantly, organize companies by Premium SLA tiers, and maintain a highly accurate timeline of every customer interaction.
With integrated Database AI agents, the system effortlessly researches a client's primary industry from their URL. It concurrently analyzes the tone of every customer message to actively flag frustrated users before things escalate.
Manage staff and customers with roles, contact info, and ticket assignments
Manage client companies using AI-powered web search to identify industries
Handle requests using AI for priority, routing, and draft response generation
Log communication history while using AI to detect customer sentiment
This system is built for teams that need to organize client requests and deliver fast, structured support at scale.
You can easily customize this responsive structure to perfectly match your exact processes. Add new priority levels, tweak the user roles, or change the SLA categories to fit your service agreements effortlessly.
Connect your existing operations in minutes. Simply upload a CSV file or use the built-in API to bulk import your historical ticket data and active customer profiles immediately.
When your team is ready to scale, you can easily use our interface builder to turn this foundation into a full-scale client portal or internal dashboard system.
You can set deeply secure users and permissions so clients only see their own tickets, while support agents get access to the whole pipeline. Starting with a properly structured backend makes building that application completely seamless.
A help desk database is a structured system used to log, track, and manage customer support requests. It organizes tickets, client profiles, and agent interactions in one central place to ensure issues are resolved efficiently and securely.
Building with a no-code framework gives you a production-ready system instantly without needing a software developer. You maintain complete autonomy to tweak statuses or add new fields as your support team scales, far outpacing the strict limitations of custom development or fragile spreadsheets.
Using an AI Database co-builder helps you quickly set up tables and write complex filters with conversational prompts. Crucially, built-in Database AI agents can actively draft polite ticket responses, gauge customer sentiment, and categorize ticket urgency the exact moment a new record is created.
Absolutely. Using our interface builder, you can connect this data directly to a visual frontend like a self-serve client portal or an internal agent dashboard. You can securely configure access rights so customers only view their own open tickets while managers see the entire company pipeline.
Yes, this template is completely free to copy and start using immediately. Functional databases are included on all free plans, allowing unlimited operational collaborators from day one. Upgrading to higher tiers simply provides increased record limits as your ticket volume accelerates.
Excel and Google Sheets do not enforce data structure, so mixed field types and accidental row deletions are common as your team grows. A real relational database natively links tickets to companies without fragile VLOOKUPs, making navigation simple and data perfectly secure as your operation scales.