This template centralizes departing employee feedback so you can actually learn from turnover. It moves sensitive HR data out of messy rows and into a secure, organized system.
It connects Departments, Users, and Interviews natively. When you view an exit interview, you instantly see the employee's role, their manager, and the exact department they belong to without manual data entry.
Built-in AI automatically extracts key takeaways from your interview notes and categorizes the overall sentiment. You get instant, actionable insights without having to read through paragraphs of text.
Logging sensitive exit feedback in shared Google Sheets is a recipe for compliance issues and lost insights. Text-heavy notes get buried in infinite columns, and finding patterns across departments becomes a manual nightmare.
A true database enforces strict structures to protect privacy and data integrity. Instead of pasting redundant names across multiple tabs, you simply link a departing employee directly to their interview and department.
This keeps your HR records impeccably clean as your headcount scales. This is exactly what Softr Databases are designed for—giving you reliable structure without the rigidity of traditional tools.
You can securely track the status of every exit process from scheduled to completed. View the primary reason for leaving—whether compensation or work-life balance—to spot clear organizational trends.
You can also leverage Database AI agents to summarize messy interview notes on the fly. As soon as you log a conversation, the system automatically pulls the top three bullet points and assigns a positive, neutral, or negative sentiment.
Manage employee profiles including HR staff, managers, and departing personnel
Organize company branches to monitor turnover rates and overall staff headcount
Log exit feedback with AI-powered sentiment analysis and automated takeaway extraction
This template is built for teams that want to turn employee departures into actionable retention strategies securely.
Add new custom leaving reasons to the drop-down fields or create new columns for internal HR follow-ups. Because it is a native Softr Database, customizing the structure takes seconds.
Bring in your historical exit data easily by importing past feedback via CSV. This instantly populates your legacy turnover trends so you are not starting from scratch.
When you are ready to scale, you can build an app directly on top of this data. You can create a secure internal portal where managers can only review feedback relevant to their specific department.
By leveraging custom users and permissions, you guarantee that sensitive exit notes remain strictly confidential. A well-structured database makes launching these secure, role-based workflows completely effortless.
An exit interviews database is a structured system used to securely log and analyze feedback from departing employees. It tracks reasons for leaving, granular interview notes, and departmental turnover trends in clear, connected tables.
A no-code database provides the exact structure of enterprise HR software without the IT bottleneck or heavy setup costs. It gives HR and People Ops teams complete autonomy to build, maintain, and adapt their systems.
AI takes the manual work out of reviewing qualitative HR feedback. Features like Database AI agents can automatically read messy interview transcripts, pull out the most important takeaways, and categorize the overall sentiment when a record is saved.
Yes, you can launch a secure internal HR tool using Softr's interface builder. You can give interviewers a clean portal to submit notes while using permissions to ensure they only access records they are explicitly authorized to view.
Yes, this template is completely free to copy and start using. Databases are included in Softr's free plan, with higher-tier accounts unlocking increased record limits and more advanced automation tools.
Spreadsheets are notoriously difficult to secure properly, leading to accidental data sharing or privacy breaches. They also struggle formatting long-form text notes and lack true relational links, making it hard to connect fragmented feedback to overall department headcount metrics.
Build and launch your first app in under 30 minutes.