Greenhouse only knows its half.
Greenhouse tracks hris, but can't see analyze workforce data. So what you read there is already partial.
Your hiring decision is only as fresh as the slowest tab. Budget planning requires current headcount data synced with financial systems. Yet the inputs sit split across Ashby / Greenhouse / Amplitude.
Now your agent can fix it.
Greenhouse tracks hris, but can't see analyze workforce data. So what you read there is already partial.
What Amplitude knows about analyze workforce data rarely flows back to Greenhouse. Two tools, one unreconciled gap.
Ashby sees predict turnover shift before anyone, yet the hiring decision owner hears about it last.
Under The Hood
HRIS
Payroll Systems
ATS
Forecast hiring needs, analyze workforce data, predict turnover, optimize team composition, returned as one plan headcount planning ranks for you.
The Context Store
Before the prompt runs, the Context Store has matched HRIS, Payroll Systems, ATS, Performance Management, Financial Planning Systems from Ashby / Greenhouse / Amplitude and 1 more onto one role record. Headcount planning just reads it, no ID-stitching.
Your agent queries one surface instead of three APIs. Faster responses, lower cost per query, and results that work because the relationships were built before you asked the question.
The Prompt
Two steps. Your data, your results, under 60 seconds.
Run my hiring decision: pull HRIS, Payroll Systems, ATS, Performance Management, Financial Planning Systems from Greenhouse, Amplitude, and Ashby and summarize.
SETUP
Airbyte's MCP exposes 4+ of your tools as one queryable layer.
WORKFLOW
connect Greenhouse, Amplitude, and Ashby -> read HRIS, Payroll Systems, ATS, Performance Management, Financial Planning Systems -> merge into one role view -> rank and explain. Each unconnected source is a one-off connect step away.
TASK
Forecast hiring needs, analyze workforce data, predict turnover, optimize team composition. Return one plan ranked by urgency, top risks called out, a next step on each.The Outcome
10x
10x. 2 hours to forecast hiring needs becomes one run of headcount planning.
90%
~90% cheaper: Headcount Planning reuses the 4 connectors you already pay for.
3 -> 1
3 sources, 1 prompt: Greenhouse, Amplitude, and Ashby reconciled before headcount planning runs.
Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.
01 · Output
A 1-10 score on each role means the urgent HRIS rises to the top of headcount planning on its own.
02 · Signal
When your product analytics and your applicant tracker disagree on forecast hiring needs, the gap is flagged. Not averaged into a guess.
03 · Context
The hiring decision shows the supporting HRIS inline, sourced from Amplitude and Ashby, no digging required.
04 · Action
Every row ends in a move: headcount planning tells you the owner and the move.
05 · Brief
The plan arrives meeting-ready: HRIS first, sources attached, Greenhouse, Amplitude, and Ashby reconciled.
The data for your hiring decision already exists in Ashby / Greenhouse. The problem is no one view joins it. Offer timelines depend on check completion.
Your hiring decision is only as fresh as the slowest tab. Compliance training has strict deadlines. Yet the inputs sit split across Sentry + Incident.io.
People ops teams run hiring decisions on stale, scattered data: Ashby and Greenhouse each hold a piece, none hold the whole. Manual screening takes 20+ minutes per resume.
Didn't find your answer? Please don't hesitate to reach out.
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Connect Greenhouse, Amplitude, and Ashby (plus 49+ more) and ship headcount planning today to forecast hiring needs.