Talent Network (CRM)
Problem
To keep up with high turnover in the restaurant industry, managers spend hours sifting through unqualified applicants— often without finding the right fit.
Solution
We released a lightweight CRM that uses AI to surface top former applicants and employees, helping managers reconnect with qualified candidates and quickly fill roles with people who already know their business.
Impact
38%
Beta feature adoption rate
Talent Network (CRM) adoption rate from existing ATS users
24%
Candidate to Interview conversion
Applicants sourced via Talent Network that end up interviewing
62%
Interview to Hire conversion
Applicants sourced via Talent Network that end up being hired
Primary platform
Desktop web
Role
Lead designer
Timeline
Nov 2023 - Apr 2024 release (6 months)
Finding qualified candidates for a job posting
Bulk inviting candidates to apply to a job posting
Improving CRM adoption by weaving candidate recommendations into user's ATS workflow

AI model training built into common user tasks (offboarding employees)

Talent Network (CRM)
Problem
To keep up with high turnover in the restaurant industry, managers spend hours sifting through unqualified applicants— often without finding the right fit.
Solution
We released a lightweight CRM that uses AI to surface top former applicants and employees, helping managers reconnect with qualified candidates and quickly fill roles with people who already know their business.
Impact
38%
Beta feature adoption rate
Talent Network (CRM) adoption rate from existing ATS users
24%
Candidate to Interview conversion
Applicants sourced via Talent Network that end up interviewing
62%
Interview to Hire conversion
Applicants sourced via Talent Network that end up being hired
Primary platform
Desktop web
Role
Lead designer
Timeline
Nov 2023 - Apr 2024 release (6 months)
Finding qualified candidates for a job posting
Inviting candidates to apply to a job posting
Improving CRM adoption by weaving candidate recommendations into user's ATS workflow


AI model training built into common user tasks (offboarding employees)

