This template helps you organize and standardize your hiring process in one central hub. It replaces scattered documents with a structured library of behavioral, technical, and cultural questions.
It works by connecting a Job Roles table directly to your Questions repository. When you build a new role, you simply link existing questions instead of copy-pasting them across different files.
The template also features an AI Auto-Category field that instantly tags new questions by skill type. This keeps your repository perfectly organized without manual sorting.
Tracking thousands of interview questions in a spreadsheet usually leads to endless horizontal scrolling and duplicate data. When a hiring manager needs to find entry-level engineering questions, they are forced to dig through messy, unfiltered rows.
A relational system fixes this by treating jobs and questions as connected objects, not flat rows. Every column enforces a specific format, meaning categories and difficulty levels stay perfectly standardized.
You can link a single behavioral question to multiple job roles simultaneously without duplicating data. This is exactly what Softr Databases are designed for, keeping your hiring data clean as your team scales.
You can build out rich job descriptions and automatically track how many questions are assigned to each role. Suggested answer guides fit neatly into long-text fields, giving interviewers complete context without cramming data.
You can also leverage Database AI agents to automatically categorize new questions as soft, hard, or leadership skills. It is fully set up and ready to accept your existing hiring data immediately.
Define distinct career positions and organize related interview content
Store interview queries with AI-powered tagging for skill categorization
Whether you are standardizing hiring company-wide or organizing your own team's process, this template adds instant structure.
Start by customizing the database to match your exact hiring framework. You can easily tweak the department categories or difficulty levels to reflect your internal labeling.
Next, import your existing questions from scattered files directly via CSV. This instantly transforms your messy historical data into a clean, searchable repository.
When you are ready, you can transform this database into a complete hiring portal using Softr's interface builder. This lets you securely share specific interview guides with external recruiters or distinct departments.
By utilizing robust users and permissions, you ensure that hiring managers only see the roles and questions relevant to specific open positions. Starting with a structured database makes building these connected apps effortless.
It is a structured system that stores, categorizes, and links interview questions directly to specific job roles. Instead of scattered documents, it provides a centralized hub to track questions by difficulty, type, and required skills.
A no-code database allows HR teams and recruiters to build a production-ready hiring system in minutes without technical skills. It offers the flexibility to maintain and adapt the underlying data structure over time, giving operators complete autonomy.
An AI Database co-builder helps you quickly generate question structures and write sorting formulas. Additionally, highly configurable Database AI agents act as automated team members to summarize lengthy answer guides or immediately extract skill categories the moment a new question is added.
Absolutely, you can turn this repository into a tailored hiring portal using Softr's interface builder. With robust access controls, you can ensure that department leads and external recruiters only view the interview guides associated with their specific open roles.
Yes, this template is completely free to get started and databases are included in Softr's free plan. Higher-tier plans provide increased database limits as your custom interview repository expands, while offering unlimited collaborators across all plans.
Spreadsheets force you to duplicate shared behavioral questions across multiple rows, leading to messy data and broken formulas. A relational database lets you create a question once and link it securely to multiple departments and roles simultaneously, keeping data cleanly categorized as your library grows.