There is knowledge and time waste in the recruiting process. Multiple recruiters from different companies interview the same candidates and ask similar questions to make the same decisions. How might we Indeed create a more efficient hiring ecosystem that decreases overall time to hire?
User research uncovered these areas as pain points in the hiring process:
We decided to focus on the Screening and Interview stages and the Feedback area since Feedback is a byproduct of the system. If we solve for this issue, we’d inevitably begin solving for the structural issues.
Insights from customer interviews:
Employers are interested in receiving feedback about a candidate from other employers and are willing to provide some form of feedback to their peers
Job seekers commonly feel discouraged when looking for new jobs. Feedback, even if rejected, gives them hope and an extra push to move forward, even if their circumstances haven’t changed.
We decided to solve the painpoint from the job seeker perspective.
v0: Leverage implicit data, internal signals, to endorse candidates based on their activity to validate our fundamental assumptions. Then surface the endorsement to the employer
v1: Allow employers to directly endorse the candidates they reject after interviewing or screening them and surface the pool of pre-vetted job seekers, with an endorsement label, to employers
Candidates with endorsements were viewed +400% more frequently
We leveraged our micro-frontend plugin system for the endorsement collection and stood up a new employer accessible SERP (search engine results page)
