This template centralizes your entire hiring evaluation process, helping recruiting teams collect structured feedback and make faster, unbiased hiring decisions.
Connected tables link Candidates to specific Jobs, assigned Users (interviewers), and submitted Scorecards, ensuring feedback is never scattered across private documents or lost in chat threads.
Built-in AI automatically summarizes candidate profiles from LinkedIn and distills lengthy interviewer notes into concise strengths and weaknesses.
Spreadsheets scatter applicant evaluations across disconnected tabs, leading to lost notes, inconsistent scoring rubrics, and misaligned hiring committees.
A structured setup ensures every interview stage, numeric rating, and recommendation stays strictly linked to the candidate and role.
Instead of copy-pasting applicant details across different sheets, relational tables connect evaluations directly to the candidate profile and calculate total applicant counts automatically.
This is exactly what Softr Databases are designed for, keeping hiring data organized, typed, and reliable as your team scales.
Collect structured ratings for technical skill and culture fit across defined stages like Phone Screen, Technical Assessment, and Final Interview.
Native Database AI agents research candidate backgrounds automatically and turn qualitative feedback into clear bullet points for rapid review.
Use this template immediately to standardize candidate evaluations across every department without manual setup.
Manage recruiters, hiring managers, and interviewers with team roles
Track open hiring requisitions, department status, and candidate count
Track applicant pipelines and generate AI-powered profile summaries
Record interview evaluations and synthesize feedback using AI summaries
Built for recruitment teams and hiring managers who need consistent candidate assessments.
Customize your scoring criteria, add department-specific interview stages, or adjust recommendation options to match your organization's hiring standards directly in the database.
Import your existing talent pipeline and open job requisitions instantly using CSV bulk uploads or automated API connections.
When you are ready, use Softr's AI app generator to turn this database into a complete recruitment portal with custom interview submission forms and automated reviewer notifications.
Apply granular users and permissions so interviewers only view their assigned candidates while hiring managers access full evaluation summaries.
A candidate scorecard database is a structured system used to collect, organize, and compare interviewer evaluations for job applicants. It links open roles, candidate profiles, and multi-stage interview ratings into a single source of truth to streamline hiring decisions.
A no-code database provides production-ready structure without requiring developer resources or custom code. It prevents data fragmentation, enforces consistent rating scales, and allows HR teams to adapt evaluation criteria as hiring needs evolve.
AI can automatically research candidate backgrounds using LinkedIn URLs and summarize extensive interview notes into clear strengths and weaknesses. With Database AI agents, these tasks run automatically whenever new candidates or scorecards are added.
Yes, you can easily generate an app with AI directly on top of this database in seconds. You can create role-based portals for recruiters, interviewers, and hiring managers with dedicated interfaces and restricted access permissions.
Yes, this database template is completely free to copy and use within your Softr workspace. Softr includes unlimited collaborators on all plans, with higher-tier plans available if you need larger record limits or advanced app features.
Yes, all fields, stages, and rating scales are fully customizable. You can add new assessment criteria, edit select dropdowns, or introduce custom formulas to fit your company's interview process.
Build and launch your first app in under 30 minutes.