recruiting · media · workflow
Kaizen Gaming cuts time-to-hire by 33% with Greenhouse centralized recruiting and AI-powered screening
Kaizen Gaming's talent acquisition team relied on disconnected tools and spreadsheets across 20 international markets, with no visibility into pipeline health or recruiter performance, making it impossible to identify bottlenecks, enforce consistent processes, or ensure GDPR compliance.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Centralized candidate data ingestion
Greenhouse became the single place where all candidate information lived, with every note, piece of feedback, and stage decision recorded there.
Tools used
GreenhouseTalent FilteringGreenhouse BI Connector
Outcome
Time-to-hire dropped 33% (from 54 to 36 days), average cycle time per stage improved 31% (from 6.5 to 4.5 days), and time-to-start fell 11% (from 75 to 67 days). The team also reduced compliance risk and gave hiring managers real-time visibility into their pipelines.
Results
Time saved33%
Volume31%
Grounding & classification
Source type: vendor customer story
28 fields verified against source quotes, 1 dropped as unverifiable.
document classificationrecommendation systemresumehuman review describedmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedsoftwarecycle time reductionemployee productivitytime savedvendor customer storyrecruitingextract classify routehuman review queue