ChattyHiring and Greenhouse Integration: Multichannel Automated Pre-Screening with Standardized Reports and Scoring
Titus Juenemann •
April 12, 2024
TL;DR
ChattyHiring's Greenhouse integration automates structured pre-screen interviews across voice, text, and video, writes standardized reports and scores into Greenhouse, and supports multilingual, multi-channel candidate engagement. It is best suited to high-volume, customer-facing, or regional hiring programs; implementation involves mapping job stages, configuring interview templates, calibrating scoring and enabling channels. Monitor completion rates, response rates and recruiter time saved to measure impact. While powerful for pre-screening, it does not replace deep technical interviews. For teams that need faster, more consistent screening and improved candidate engagement, integrating ChattyHiring with Greenhouse delivers measurable time savings and a clearer shortlist for recruiters.
The ChattyHiring integration for Greenhouse connects a conversational AI recruiter to your ATS so you can automate structured pre-screen interviews at scale. It handles voice, text and video interviews in multiple languages, delivers standardized candidate reports, and writes results back to Greenhouse to keep hiring workflows synchronized. This page explains what the integration does, who should consider it, the concrete benefits you can expect, how data moves between systems, implementation steps, and measurable ROI examples so talent teams can decide whether ChattyHiring + Greenhouse fits their hiring needs.
Core capabilities of the ChattyHiring — Greenhouse integration
- Multi-channel conversational interviews AI-led interviews via voice, text and video across mobile, web and WhatsApp to meet candidates where they are.
- Greenhouse sync Automatic creation and updates of candidate records, score mapping to custom fields, and stage transitions via Greenhouse API/webhooks.
- Structured behavioral assessments Competency-based interview flows with consistent questions, scoring rubrics and automated interview summaries.
- Language assessments Interviews and evaluations in multiple languages, enabling regional hiring at scale without local recruiters for every market.
- Customizable candidate reports Immediate, exportable candidate summaries including communication, problem-solving, motivation and logistical flags.
Who should evaluate this integration
- High-volume frontline hiring teams Retail, contact centers, delivery and seasonal staffing teams that run hundreds or thousands of pre-screens per month.
- Multilingual regional recruiters Hiring teams operating across EMEA, South America and North America who need consistent assessments in several languages.
- Teams prioritizing candidate experience Organizations that want 24/7 engagement, higher response rates and structured feedback for every candidate.
- Greenhouse customers seeking automation Companies already using Greenhouse who want to reduce manual screening workload without changing ATS.
AI resume screener for Greenhouse
ZYTHR scores every applicant automatically and surfaces the strongest candidates based on your criteria.
- Automatically screens every inbound applicant.
- See clear scores and reasons for each candidate.
- Supports recruiter judgment instead of replacing it.
- Creates a shortlist so teams spend time where it matters.
| Name | Score | Stage |
|---|---|---|
| Oliver Elderberry |
9
|
Recruiter Screen |
| Isabella Honeydew |
8
|
Recruiter Screen |
| Cher Cherry |
7
|
Recruiter Screen |
| Sophia Date |
4
|
Not a fit |
| Emma Banana |
3
|
Not a fit |
| Liam Plum |
2
|
Not a fit |
How the integration works technically: ChattyHiring connects to Greenhouse via API and webhooks. When a job requisition or candidate enters a defined stage in Greenhouse (for example, 'Phone Screen'), a webhook triggers ChattyHiring to invite the candidate to an AI-led interview. After completion, ChattyHiring posts a structured report and numerical scores back to the candidate profile in Greenhouse and can optionally advance or flag the candidate for recruiter review. Administrators control mapping rules and score thresholds inside the ChattyHiring admin console. No partner implementation fee is required: configuration primarily involves field mapping, interview templates, and channel settings (email, SMS, WhatsApp).
Typical data flow between ChattyHiring and Greenhouse
| Trigger or Event | What is sent / written to Greenhouse |
|---|---|
| Job requisition created or mapped | Interview templates and language settings linked to the job |
| Candidate added to pre-screen stage | Invitation sent to candidate; candidate status updated in Greenhouse |
| Candidate completes AI interview | Structured report, language proficiency rating, competency scores, audio/video links, and recruiter comments written to candidate profile |
| Score threshold met or failed | Custom field updated and optional stage transition (e.g., to 'Interview' or 'Rejected') |
Step-by-step implementation checklist
- Map jobs and stages Decide which Greenhouse job types and candidate stages will trigger ChattyHiring pre-screens.
- Configure interview templates Build language- and role-specific flows: behavioral, competency, and logistical questions.
- Set scoring rules and thresholds Define numeric fields in Greenhouse to store AI scores and the pass/fail criteria for automatic transitions.
- Enable channels Activate SMS, email and WhatsApp engagement channels depending on candidate population.
- Pilot and calibrate Run a 2–4 week pilot, collect recruiter feedback and adjust prompts and scoring to match in-house evaluation style.
Common operational questions
Q: Does ChattyHiring require candidate consent for recording?
A: Yes — local consent is obtained through the interview invitation flow. Administrators can configure consent language and retention periods to meet local regulations.
Q: Can recruiters review interview audio and transcripts from Greenhouse?
A: Yes — ChattyHiring stores links to transcripts, audio and video in the candidate record so recruiters can replay responses directly from Greenhouse.
Q: How does the AI learn our recruiters' evaluation style?
A: Recruiters provide feedback on candidate reports and override scores; ChattyHiring uses that feedback to refine scoring and phrasing so its assessments align with your standards.
Key metrics to monitor after launch: screening completion rate, response rate by channel (email/SMS/WhatsApp), average time per successful screen, percentage of screens that meet pass thresholds, time-to-stage for qualified candidates, and recruiter review time saved. Track these weekly during the pilot and monthly after full rollout to quantify impact. Use Greenhouse reports combined with exports from ChattyHiring to create a dashboard that shows time and cost savings per requisition, as well as candidate experience scores returned by the AI after each interview.
Best practices to configure the AI recruiter
- Match tone to the role Use friendlier prompts for customer-facing roles and more formal phrasing for technical positions; this improves response quality.
- Limit interview length Aim for 6–8 core questions or a 6–10 minute voice interview to maximize completion rates.
- Use behavioral prompts Ask for short examples of past behavior (situation, action, result) to capture evidence of competency.
- Localize content Translate prompts and adjust cultural references to improve comprehension in each hiring region.
- Calibrate scoring with a small sample Have recruiters score 100 AI interviews manually and then tune thresholds to reach the desired pass/fail balance.
Candidate experience design tips: give clear expectations in the invitation (estimated duration, language options, whether audio/video will be used) and offer multiple channels for reply. Provide a short example question in the invite so candidates know what to expect. Candidates typically prefer asynchronous chat or short voice interviews they can complete on their own schedule — this contributes to higher response rates and better-quality answers from introverted candidates.
ROI example — hypothetical monthly use case
| Metric | Manual Phone Screens | With ChattyHiring |
|---|---|---|
| Pre-screens per month | 500 | 500 |
| Avg recruiter time per screen (min) | 10 (phone + admin) | 2 (review high-priority reports) |
| Total recruiter hours | 83.3 | 16.7 |
| Estimated time saved | — | 70% reduction in pre-screening time |
| Impact | Longer time-to-hire and recruiter overload | Quicker shortlist creation and more time for interviews |
Compliance, security and privacy considerations
- Data residency and retention Confirm where audio/transcript data is stored and configure retention windows to meet local laws; ChattyHiring provides admin controls and a published privacy policy.
- Consent and disclosure Use the built-in consent prompts and transparently disclose how interview data will be used and who can access it.
- Access controls Limit which Greenhouse roles can view full transcripts and raw media; store summaries and scores in standard fields for broader access.
Limitations and when not to use the integration: ChattyHiring is optimized for structured pre-screens and high-volume roles. It is not a replacement for deep technical interviews or small-volume executive searches where live, nuanced conversation with a subject-matter expert is essential. Also, while the AI can assess language proficiency and communication skills, technical knowledge should still be validated with role-specific tests or interviews when required.
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