Agentic AI Hiring Assistant

Background

Problem

Employers were stuck doing repetitive, manual hiring tasks with no smart tools to help.

Small business employers using Jobcase struggled with repetitive tasks like screening, scheduling, and follow-up. They lacked tools that offered intelligent automation while maintaining control and transparency over the process.

Hypothesis

"If I design an AI assistant that can independently screen candidates, coordinate interviews, and communicate through natural, accessible interfaces, while giving employers visibility and control, I can reduce time-to-hire, increase engagement, and improve hiring outcomes for resource-limited teams."

Research

Employers wanted automation they could trust, control, and understand.

I ran research sessions with 9 employers through UserTesting.com to validate value propositions, scheduling flows, and comfort with AI autonomy. Key findings:

• Employers wanted visibility and optional override, not full automation
• Email and web were preferred channels for professionalism and clarity
• Scheduling needed to be fast and low effort
• The assistant's tone needed to feel human, not robotic

These findings shaped how I approached transparency, fallback logic, assistant voice, and scheduling defaults throughout the design.

Solution

An assistant that could draft, screen, schedule, score, and communicate across modalities.

01

Candidate Scoring Dashboard

A visual system for the AI to tag and score applicants based on role fit, giving employers an instant read on candidate quality without manual screening.

02

Dashboard Breakdown

1. 1

   KPI summary strip

   Layered detail lets managers start with summary rows, drill into charts, and open full breakdowns only when they need them.

2. 2

   Bar chart

   Proportional bars show scannable candidate drop-off stage by stage.

3. 3

   AI-surfaced insight

   AI-generated insights surface the biggest drop-off as a system recommendation, no manual analysis required.

4. 4

   Stage breakdown

   Rejection reasons like resume mismatch or screener filter make AI screening decisions easy to review.

03

AI Candidate Screening Chat

A conversational interface where the AI qualified applicants through chat before presenting interview options, filtering candidates before any employer time was spent.

04

Interview Scheduling

After passing AI screening, candidates were prompted to self-schedule an interview with the hiring manager, removing back-and-forth entirely.

Results