Greenhouse can't answer it solo.
Interview schedules in Greenhouse is only one input; the hiring decision stalls without analyze sentiment alongside it.
Build a Candidate Experience Feedback Agent withGreenhouse, Typeform, and Ashby
Recruiting teams run hiring decisions on stale, scattered data: Typeform, Ashby, and Greenhouse each hold a piece, none hold the whole. Candidate experience determines acceptance rates.
Candidate experience feedback runs on candidate data split across 3 tools.
The hiring decision pays for it.
The hiring decision pays for it.
Typeform and Greenhouse never sync.
To collect feedback at each interview stage you'd merge analyze sentiment with interview schedules by hand, every single time.
Ashby knows before you do.
Improve hiring process lands in Ashby hours early. Too far from Greenhouse to change the hiring decision in time.
Under The Hood
Three sources, one query: candidate experience feedback pulls Greenhouse, Typeform, and Ashby pre-wired. Already connected.
01
Fetch collect feedback at each interview stage from Greenhouse (applicant tracker)
Interview schedules
02
Check analyze sentiment from Typeform (forms tool)
candidate communications
03
Check improve hiring process from Ashby (applicant tracker)
feedback forms
output
Agent-ready output
The readout for the hiring decision: Collect feedback at each interview stage, analyze sentiment, improve hiring process, riskiest items surfaced and owned.
The Context Store
Interview schedules and the rest of Typeform, Ashby, and Greenhouse, already one record.
To collect feedback at each interview stage, the Context Store pre-joins interview schedules, candidate communications, feedback forms, sentiment data across Typeform, Ashby, and Greenhouse on the candidate key. One query, one truth.
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.
PRE-JOINED CANDIDATEUNIFIED SCHEMAONE API SURFACE
The Prompt
Copy. Paste.
a Candidate Experience Feedback Agent
Two steps. Your data, your results, under 60 seconds.
01install
Connect the Airbyte Agent MCP02copy and run
Build me a candidate experience feedback: read Greenhouse, Typeform, and Ashby and hand back one readout.
SETUP
Airbyte's Agent MCP is connected to 3+ systems; query them directly, no API code.
WORKFLOW
connect Greenhouse, Typeform, and Ashby -> read interview schedules, candidate communications, feedback forms, sentiment data -> merge into one candidate view -> rank and explain. Each unconnected source is a single OAuth click away.
TASK
Collect feedback at each interview stage, analyze sentiment, improve hiring process. Return one readout ranked by urgency, top risks called out, a next step on each.The Outcome
Collect feedback at each interview stage on demand: 2 hours of effort, ~60 seconds of agent.
10x
Faster
10x faster. Candidate experience feedback does in seconds what ate 2 hours of collect feedback at each interview stage.
90%
Cheaper to run
~90% cheaper: zero new infra and no seats added to collect feedback at each interview stage.
3 -> 1
Tools, one query
3 -> 1: candidate experience feedback answers Greenhouse, Typeform, and Ashby in a single query.
Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.
01 · Output
Ranked, not dumped
Candidate experience feedback ranks each candidate by risk, not by name. The top of the list is where to start.
02 · Signal
Reality-check flags
When Typeform and Greenhouse disagree on collect feedback at each interview stage, the gap is flagged. Not averaged into a guess.
03 · Context
The why, attached
Each line carries its evidence. Analyze sentiment pulled from Typeform and Ashby. Right where you read it.
04 · Action
Next action per item
For each candidate, candidate experience feedback names the next step. What to change and who owns it. Not just a number.
05 · Brief
Built to collect feedback at each interview stage
The readout arrives meeting-ready: interview schedules first, sources attached, Greenhouse, Typeform, and Ashby reconciled.
After Candidate experience feedback: more recruiting agents to build
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Common questions
Didn't find your answer? Please don't hesitate to reach out.
Can Candidate experience feedback really join Greenhouse, Typeform, and Ashby on one candidate?
It matches them on a shared candidate key, so candidate experience feedback reads one record, not 3 API responses.
What if a candidate shows up in two of Greenhouse, Typeform, and Ashby?
The shared key de-dupes it. Candidate experience feedback keeps one candidate with interview schedules merged across sources.
Is interview schedules stored anywhere by Candidate experience feedback?
No, candidate experience feedback reads interview schedules, candidate communications, feedback forms, sentiment data live through the connectors and returns the readout; nothing persists outside Greenhouse, Typeform, and Ashby.
What does Candidate experience feedback cost to run?
It rides the 3 connectors you already license. No seats, no glue code, no infra to collect feedback at each interview stage.
Candidate experience feedback is one prompt away from Typeform, Ashby, and Greenhouse.
Wire Greenhouse, Typeform, and Ashby and 48+ sources into Airbyte's MCP and build candidate experience feedback on data you already own.
