Candidate Scorecard Spreadsheet Template

Standardize candidate evaluations, interview feedback, and hiring decisions.

Summarize with AI

Your Candidate Scorecard database at a glance

Evaluate applicants consistently, collect structured interview feedback, and manage your entire hiring pipeline from a single system. Keep your team aligned across every hiring stage without juggling multiple review files.

Four dedicated tables organize Users, Jobs, Candidates, and Scorecards. Every evaluation links directly to the specific job opening, applicant profile, and assigned interviewer, giving your hiring team complete visibility into candidate progression.

Built-in AI features automatically research LinkedIn profiles to generate concise background summaries and extract key strengths and weaknesses from detailed interview notes.

When interview notes scatter across tabs and disposable files

Interview evaluations typically begin as one-off sheets copied across different roles, rounds, and interviewers. Over time, hiring feedback ends up scattered across forgotten tabs and outdated versions with inconsistent scoring criteria.

What a structured database changes

In a structured database, every evaluation is tied directly to the candidate, job opening, and interviewer. Numeric ratings, pipeline stages, and file attachments stay standardized instead of breaking across duplicated rows.

Interviewers submit standardized feedback into clean, dedicated records without overwriting past interview rounds. This ensures your hiring decisions are backed by reliable, structured data.

This is exactly what Softr Databases are designed for: bringing relational clarity to your business workflows without complicated setup.

What you can do with this template

Collect structured ratings for technical competence and culture fit across distinct interview stages like phone screens, technical assessments, and final interviews.

Use native Database AI agents to research applicant backgrounds via LinkedIn URLs and summarize extensive interviewer notes into actionable bullet points.

Monitor pipeline volume per department and roll up total applicant counts automatically as candidates advance toward final job offers.

Tables for Candidate Scorecard

  • Users

    Manage recruiters, hiring managers, and interviewers across active roles

  • Jobs

    Track open hiring requisitions, department status, and candidate pools

  • Candidates

    Track applicant pipelines and auto-generate AI background summaries

  • Scorecards

    Record interview evaluations and summarize candidate feedback using AI

Who is this Candidate Scorecard database for

This template helps recruitment teams and hiring managers streamline interview evaluation and candidate tracking.

  • Hiring managers: Review structured interviewer feedback and ratings to make confident, data-backed hiring decisions.
  • Recruiting teams: Track candidates across pipeline stages from sourcing to offer extension without losing notes.
  • Interviewers: Submit standardized evaluations, detailed notes, and hiring recommendations in a single shared record.
  • HR departments: Maintain a centralized directory of open positions, assigned hiring managers, and interview records.

How to take it further

Customize this database to match your exact evaluation rubrics. You can easily adjust rating scales, add custom evaluation criteria for specific technical roles, or update the pipeline stages to fit your company's recruitment workflow.

Import your existing hiring pipelines and applicant pools using simple CSV uploads or automated API integrations to centralize candidate information right away.

When your team is ready, generate an app with AI in seconds to give interviewers custom submission portals and hiring managers private dashboards. With granular users and permissions, interviewers only see assigned candidates while administrators maintain full oversight across all departments.

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 this Candidate Scorecard database?
  • Is this Candidate Scorecard template free?
  • How is a candidate scorecard database different from a spreadsheet?

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