This template centralizes customer and employee feedback campaigns, turning raw responses into structured improvement workflows.
Responses link directly to specific campaigns and follow-up action items, ensuring every low score or complaint has a clear owner and resolution path.
Built-in AI fields automatically classify feedback sentiment, categorize responses by theme, and draft empathetic email replies for your support team.
A typical satisfaction survey spreadsheet starts as a single sheet of rows, but soon splits into disconnected tabs for each quarter, campaign, or audience.
Once raw comments land in a sheet, tracking follow-ups requires manual copy-pasting into new columns, causing critical customer complaints to get lost across outdated file copies.
A structured database eliminates disposable tabs by separating campaigns, individual responses, and corrective actions into dedicated, connected tables.
Instead of fragile formulas, response scores aggregate automatically to campaigns, while each feedback entry connects natively to an assigned follow-up task.
This is exactly what Softr Databases are designed for, keeping data validated and accessible without managing messy sheet versions.
Run active surveys, track aggregate response metrics, and assign follow-up tasks to specific team members in real time.
Native Database AI agents analyze open feedback on submission, tagging themes like product quality or pricing and generating executive campaign summaries.
Manage survey administrators and team members assigned to follow-up tasks
Track feedback campaigns and generate AI-powered executive summaries
Store survey submissions with AI-powered sentiment and theme analysis
Manage resolution tasks and generate empathetic email replies with AI
This database is designed for customer-facing and operational teams looking to systematize satisfaction tracking:
You can easily customize this database to fit your exact review workflow. Add custom rating scales, create new feedback themes, or configure additional select fields to fit your industry standards.
If you have existing survey archives, bring them over in seconds via CSV import or sync ongoing submissions automatically using the built-in API.
When your team needs dedicated interfaces, you can build an app on top of this database in seconds. Use the AI Co-Builder to turn your tables into an internal resolution dashboard or customer feedback portal.
Configure granular users and permissions so analysts see aggregate analytics, managers assign tasks, and team members only access their assigned follow-up tickets.
A satisfaction survey database is a structured system used to collect, organize, and analyze feedback from customers, partners, or employees. It links individual survey responses to high-level campaigns and actionable follow-up tasks in one central place.
A no-code database provides production-ready relational data without manual maintenance or coding. It prevents data duplication, enforces consistent field types, and enables non-technical teams to manage complex feedback workflows autonomously.
AI automates sentiment analysis, theme categorization, and response drafting directly within database records. By configuring Database AI agents, your database can instantly synthesize long feedback comments into executive summaries whenever a new survey response arrives.
Yes, you can use the AI app generator to create a custom web application on top of this database in minutes. You can build internal feedback portals for support reps and analytics dashboards for leadership, all with customized permissions.
Yes, this database template is free to copy and use within Softr. All plans include unlimited collaborators, allowing your entire team to manage feedback and assign actions without per-seat charges.
Unlike a spreadsheet that relies on fragile formulas and messy tabs, a database enforces typed data and connects responses directly to campaigns and tasks. This prevents broken links and ensures no follow-up action is overlooked.
Build and launch your first app in under 30 minutes.