Product design: an applicant tracking system for recruiters, managers and candidates

Quick Overview

A product design exercise asking a PM candidate to design an applicant tracking system that employers use to open roles, manage applicants and move candidates to an offer. It tests segment choice, understanding of recruiters, hiring managers and candidates, feature prioritization, success metrics and hiring compliance risks.

Product design: an applicant tracking system for recruiters, managers and candidates

Company: ADP

Role: Product Manager

Category: Product Design & Strategy

Difficulty: medium

Interview Round: Other

Design an applicant tracking system (ATS): the product employers use to open roles, collect applications and move candidates through interviews to an offer. ```hint Pick whose hiring problem you solve Recruiters, hiring managers, interviewers and candidates all touch an ATS, and a small business filling a few roles hires very differently from an enterprise recruiting team. Choose a customer segment before you list features, and think about what has to happen after a candidate accepts. ``` ### Clarifying Questions - Which employers are the target: small businesses where the owner or an office manager does the hiring, or mid-sized and large companies with dedicated recruiters? - Is the ATS a standalone product, or part of an HR and payroll suite that already holds the employer's employee records? - Is the hiring mostly high-volume hourly roles, salaried professional roles, or a mix? - Is sourcing passive candidates in scope, or only managing people who apply? ### What a Strong Answer Covers - A chosen customer segment and the distinct needs of recruiters, hiring managers, interviewers and candidates - The end-to-end hiring flow from opening a role to a new employee, and which steps the first version covers - Features prioritized by the pain they remove, including candidate experience and the handoff into HR and payroll - Success metrics for employers and candidates, with guardrails for quality of hire and fairness - Compliance and trust risks such as discrimination, candidate data privacy and automated screening ### Follow-up Questions - A customer asks for AI that ranks applicants automatically. How do you decide whether to build it, and with what safeguards? - Candidates abandon the application partway through. How do you find out why and fix it? - How would the product change for a franchise employer hiring hourly workers continuously across many locations?

Overview: A product design exercise asking a PM candidate to design an applicant tracking system that employers use to open roles, manage applicants and move candidates to an offer. It tests segment choice, understanding of recruiters, hiring managers and candidates, feature prioritization, success metrics and hiring compliance risks.

ADP logo
ADP
Feb 20, 2026
mediumProduct ManagerOtherProduct Design & Strategy
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Design an applicant tracking system (ATS): the product employers use to open roles, collect applications and move candidates through interviews to an offer.

Clarifying Questions Guidance

  • Which employers are the target: small businesses where the owner or an office manager does the hiring, or mid-sized and large companies with dedicated recruiters?
  • Is the ATS a standalone product, or part of an HR and payroll suite that already holds the employer's employee records?
  • Is the hiring mostly high-volume hourly roles, salaried professional roles, or a mix?
  • Is sourcing passive candidates in scope, or only managing people who apply?

What a Strong Answer Covers Guidance

  • A chosen customer segment and the distinct needs of recruiters, hiring managers, interviewers and candidates
  • The end-to-end hiring flow from opening a role to a new employee, and which steps the first version covers
  • Features prioritized by the pain they remove, including candidate experience and the handoff into HR and payroll
  • Success metrics for employers and candidates, with guardrails for quality of hire and fairness
  • Compliance and trust risks such as discrimination, candidate data privacy and automated screening

Follow-up Questions Guidance

  • A customer asks for AI that ranks applicants automatically. How do you decide whether to build it, and with what safeguards?
  • Candidates abandon the application partway through. How do you find out why and fix it?
  • How would the product change for a franchise employer hiring hourly workers continuously across many locations?