Zhiren · Automated Resume Screening

From job requirements to initial resume screening, then to interview collaboration between HR and hiring teams.

Recruitment Process Design · AI Screening and Collaborative Development

Zhīrén · Automated Resume Screening · Interactive DemoOpen separately

This demo runs the original Zhīrén workspace. The jobs, candidates, and interview records are fictional demo content. You can try the workflows for requirements, screening, the talent pool, and interview collaboration. AI steps use offline demo results and do not send resumes externally.

Project Overview

The Problem to Solve

How job requirements, initial resume screening, and interview feedback connect HR with hiring teams.

Before resume screening, HR and the hiring team need to clarify the job requirements, salary range, and evaluation criteria. Otherwise, even if screening gets faster, the requirements still need to be revisited and supplemented later.

So this tool starts with questions about the role, then builds the job description, scoring dimensions, and interview collaboration around the same set of requirements.

My Work · Recruitment Process Design · AI Screening and Collaboration Development

I am responsible for mapping out and developing two workflows: “HR-led independent initial screening” and “HR–hiring department collaboration.” Centered on role requirements, the workflows organize JD generation, scoring prompts, résumé parsing, AI scoring, the talent pool, and the handoff of interview results.

Collect role requirements, salary, and its range through Q&A.
Generate multidimensional scoring prompts based on the JD.
Connect résumé reading from folders, scoring, and candidate intake into the talent pool.
Set up a workflow for the hiring department to submit requirements, schedule interviews, and share feedback.

Project Overview · Role-Driven Workflow Design

Role Q&A and JD

Collect role requirements, salary, and the salary range, then generate a job description. In collaborative mode, HR initiates the process, and the hiring department adds specific requirements.

Résumé Parsing and AI Scoring

Generate multidimensional prompts based on the JD, read résumés from a designated folder, and analyze and score them against the role requirements.

Candidate Intake

HR selects highly matched candidates from the scoring results and adds them to the talent pool, retaining the candidate information needed for later review and follow-up.

Interview Scheduling and Feedback

Send candidates in the talent pool to the hiring department for interview scheduling, then share the interview results with HR to continue the recruitment process after initial screening.

Delivered

A recruitment workspace that supports both independent initial screening and cross-department collaboration, while preserving room for human judgment and feedback.

The project covers the workflow from role requirements and JDs through AI scoring, candidate intake, and interview feedback. HR can complete initial screening independently or involve the hiring department from the requirements stage.

The focus of this case is a complete handoff of information: role requirements become the basis for screening, screening results feed into interviews, and interview feedback then returns to HR’s workflow.

Looking Back on This Work

Résumé scoring depends on clear role requirements and appropriate evaluation criteria. A high score should not replace recruiters’ review of a candidate’s experience or the interview; scoring should help them understand how the candidate’s profile aligns with the requirements.

One area for further improvement is the connection between scoring rationale and interview feedback: recruiters should be able to understand the assessment and use what they learn in interviews to identify gaps in the requirements or scoring criteria.

Define the role first, then establish the screening criteria.Build the division of responsibilities between HR and the hiring department into the workflow.Let AI provide guidance, while leaving hiring decisions to people.

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