Candidate Scorecard Database Template

Standardize interview evaluations and streamline hiring decisions together

Summarize with AI

Your Candidate Scorecard database at a glance

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.

Why interview feedback breaks across unlinked sheets

Spreadsheets scatter applicant evaluations across disconnected tabs, leading to lost notes, inconsistent scoring rubrics, and misaligned hiring committees.

What a structured database changes

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.

What you can do with this template

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.

Tables for Candidate Scorecard

  • Users

    Manage recruiters, hiring managers, and interviewers with team roles

  • Jobs

    Track open hiring requisitions, department status, and candidate count

  • Candidates

    Track applicant pipelines and generate AI-powered profile summaries

  • Scorecards

    Record interview evaluations and synthesize feedback using AI summaries

Who is this Candidate Scorecard database for

Built for recruitment teams and hiring managers who need consistent candidate assessments.

  • Recruiting Teams: Standardize interview stages, track candidate pipelines, and aggregate interviewer recommendations.
  • Hiring Managers: Review aggregated technical and culture ratings to make confident, data-backed hiring decisions.
  • Department Leads: Monitor open roles across Engineering, Sales, and Product while overseeing applicant volume.
  • People Operations: Maintain a central, auditable record of hiring evaluations, interviewer notes, and candidate resumes.

How to take it further

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.

How to use the Candidate Scorecard template

  • 1
    Click Use template: Sign up or log in to your Softr account (it’s free, no credit card required!)
  • 2
    Fine-tune the database: Adjust fields, options, and , settings so the database matches your specific needs. You can rename fields, change select options, or modify default values.
  • 3
    Add your data: Replace the mock content with your own information. You can add data manually or import it quickly via CSV.
  • 4
    Build an app on top of your database: Create a Softr app on top of this database to have a custom interface where users can log in, view data, and collaborate.

Frequently asked questions

  • What is a candidate scorecard database?
  • Why use a no-code database to build a candidate scorecard system?
  • How can AI help managing data for candidate scorecards?
  • Can I build an app with candidate scorecard database?
  • Is this Candidate Scorecard template free?
  • Can I customize the interview stages and rating criteria?

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