Data ops · workflow

Recruitment platform — 200 production workflows, data integrations 25× faster

StepStone needed to tie together data from multiple sources — job listings, analytics, CRM — across their recruitment platform. Previously each new data source integration required two weeks of engineering work to connect.

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 · Data sources

Job listings, analytics events, CRM updates — multiple parallel data streams.

Tools used

n8n · partnerJob listing APIsCRMAnalytics platform

Outcome

200+ mission-critical production workflows. New data source integrations now take 2 hours instead of 2 weeks — 25× faster. Engineering capacity freed for product work. 'We can speed up the integration of data sources 25×. It takes a maximum of two hours to connect various APIs.' — StepStone tech team.

What failed first

Started with individual scripts per integration — fragile, nobody maintained them after the original author left. n8n gave engineering and business teams a shared visual layer they could both work on.

Results

Time saved25× faster integration

Volume200 workflows

Running sinceFeb 2025

Source

StepStone case study: 200+ production workflows, 25× faster integrations (via n8n.io case studies)Referenced in n8n official case studies and multiple secondary sources. Named company, published figures.

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