Greenhouse can't answer it solo.
Interview notes (Google Docs) in Greenhouse is only one input; the hiring decision stalls without extracts structured assessments alongside it.
People ops teams run hiring decisions on stale, scattered data: Greenhouse / Ashby each hold a piece, none hold the whole. Interview feedback is notoriously inconsistent; different interviewers use different formats, criteria, and scales.
Now your agent can fix it.
Interview notes (Google Docs) in Greenhouse is only one input; the hiring decision stalls without extracts structured assessments alongside it.
Extracts structured assessments lives in Ashby, cut off from interview notes (google docs), so interview notes organizer guesses at the link.
Aligns feedback with evaluation criteria surfaces in Ashby ahead of time, but that tab is closed during interview notes organizer.
Under The Hood
Interview notes (Google Docs)
job requirements
The brief for the hiring decision: Standardizes interview notes, extracts structured assessments, and aligns feedback with evaluation criteria, riskiest items surfaced and owned.
The Context Store
Airbyte folds Greenhouse / Ashby into the Context Store: interview notes (Google Docs), job requirements, candidate tracking (Greenhouse/Lever), evaluation rubrics land in one schema, joined on a shared role key, so interview notes organizer never touches a raw your applicant tracker endpoint.
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 interview notes (Google Docs), job requirements, candidate tracking (Greenhouse/Lever), evaluation rubrics from Greenhouse and Ashby and summarize.
SETUP
Use the Airbyte MCP layer. 2+ connected sources behind one natural-language surface.
WORKFLOW
list connectors -> link Greenhouse and Ashby -> pull interview notes (Google Docs), job requirements, candidate tracking (Greenhouse/Lever), evaluation rubrics -> join on the role key -> analyze. An unlinked tool returns a self-describing prompt; a one-time browser auth and retry.
TASK
Standardizes interview notes, extracts structured assessments, and aligns feedback with evaluation criteria. Return one brief ranked by urgency, top risks called out, a next step on each.The Outcome
10x
~10x. Interview notes organizer drops from a 2-hour chore to one query.
90%
90% off the build cost: 2 sources already licensed, nothing extra to standardizes interview notes.
2 -> 1
2 sources, 1 prompt: Greenhouse and Ashby reconciled before interview notes organizer runs.
Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.
01 · Output
Every role scored 1-10, so interview notes organizer surfaces what needs you first instead of an alphabetized list.
02 · Signal
Any conflict between your applicant tracker and your applicant tracker on interview notes (Google Docs) is raised for review rather than silently smoothed over.
03 · Context
The hiring decision shows the supporting interview notes (Google Docs) inline, sourced from Ashby, no digging required.
04 · Action
For each role, interview notes organizer names the next step. The play and the person to run it. Not just a number.
05 · Brief
A brief you can drop into the hiring decision: ranked, sourced from Greenhouse and Ashby, scoped to interview notes (Google Docs).
Answers employee questions about benefits shouldn't take a morning of tab-switching across Notion + Confluence + Google Drive. HR teams answer the same questions thousands of times.
Right now the hiring decision means stitching Harvest by hand. Last-minute changes cause no-shows, so the work lands late and half-blind.
Guides new employees through onboarding processes shouldn't take a morning of tab-switching across Notion / Confluence. New hires have questions spanning IT setup, HR policies, team processes, and cultural norms; currently requiring multiple systems and multiple contacts.
Didn't find your answer? Please don't hesitate to reach out.
Is interview notes (Google Docs) stored anywhere by Interview Notes Organizer?
Which clients run interview notes organizer?
How long until Interview Notes Organizer is live?
Can Interview Notes Organizer run on a schedule?
Wire Greenhouse and Ashby and 47+ sources into Airbyte's Agent MCP and build interview notes organizer on data you already own.