Simplifying Mass Hiring with AI to Scale Up a Nonprofit's Fellowship Program

Hackathon / Case Study | Gen AI, Prototyping, User testing

Simplifying Mass Hiring with AI to Scale Up a Nonprofit's Fellowship Program

Hackathon / Case Study | Gen AI, Prototyping, User testing

Simplifying Mass Hiring with AI to Scale Up a Nonprofit's Fellowship Program

Hackathon / Case Study | Gen AI, Prototyping, User testing

Overview

Overview

Environmental Defense Fund (EDF) partnered with McKinsey Digital Hackathon to tackle a challenge: scaling up their fellowship program. In collaboration with three engineers, I designed an AI-driven recruitment solution, enabling mass hiring. Following the Hackathon, I revisited the project to explore design with GenAI, prototype polished interactions, and validate the design with users.

Overview

Winner, Chosen as the best solution by EDF

Overview

Time
July 15 - 16, 2023 (24 hours)
April - May, 2024 (4 weeks)

My role
Product designer

Overview

Tool
Figma,
Lottie, Runway

Collaborators
2 Backend engineers
1 Frontend engineer

Overview

Problem Statement

How can EDF scale the Climate Corps fellowship program from 150 to 1000 fellows?

How can EDF scale the Climate Corps fellowship program from 150 to 1000 fellows?

They have many qualified candidates but have trouble accommodating more with their existing resources.

Solution

AI-powered end-to-end recruiting platform with process inversion enabling mass hiring

AI-powered end-to-end recruiting platform with process inversion enabling mass hiring

Automate and streamline key hiring processes, and implement process inversion to enable mass hiring with the same resources.

Personal Session is a new TikTok feature that provide purpose and end point to passive users with niche themed viewing sessions. The sessions end with engaging activities to help users to lea smoothly.

Design Solution

01

Simplified Mass Screening & Matching with AI

EDF spends 3 weeks with 13 recruiters just screening candidates. Users can effortlessly screen large applicant pools with AI scores and then match qualified candidates to organizations. Recruiters can still review and grade profiles manually, but AI insights speed things up.

02

Streamlined Specific Low-Volume Candidates Tasks with Conversational AI

Following the initial high-volume screening, recruiters can use conversational AI to handle low-volume tasks. They can easily type and ask specific requests, such as "finding waitlisted candidates with 2+ years of data science experience for the Circular Economy Fellow role".

03

Seamless Communication with Collaboration Bar

During interviews, recruiters highlighted the challenges of communicating and collaborating with contract recruiters. The collaboration bar addresses this by allowing users to easily view team members' tasks and their progress.

Please get in touch for the full case study!

Please get in touch for the full case study!

ⓒ 2024 Junhyung Cho