Alva Labs + Greenhouse integration: automate assessment invites, transfer scores, and standardize interviews
Titus Juenemann •
May 14, 2025
TL;DR
The Alva Labs + Greenhouse integration automates assessment invites, transfers scores into candidate profiles, and provides structured interview templates that help hiring teams screen faster and more consistently. It is especially useful for high-volume technical hiring, teams standardizing interviews, and organizations scaling hiring across regions. Implementation requires initial mapping and training; key metrics to track include completion rates, time-to-screen, and conversion by score. The integration is not a replacement for interviews but a way to surface higher-quality candidates earlier in the funnel. For additional efficiency in resume review, pair this integration with ZYTHR to save time and improve shortlist accuracy.
The Alva Labs integration for Greenhouse connects Alva’s validated assessments—personality, logical reasoning, and coding tests—directly into Greenhouse’s applicant tracking workflow. That integration centralizes assessment assignments, automates candidate status updates, and ensures results appear where hiring teams already work, reducing manual steps and accelerating decision-making. This article explains what the integration does, which hiring teams benefit most, practical setup and implementation considerations, measurable benefits, and limitations to consider when you evaluate Alva Labs for use inside Greenhouse.
In short: the integration turns Alva’s research-backed tests and structured interview templates into actionable signals inside Greenhouse, enabling recruiters and hiring managers to assess cognitive ability, role fit, and coding skill without leaving the ATS. Below you’ll find concrete examples, a checklist for rollout, metrics to track, and objective comparisons to other approaches.
How the Alva–Greenhouse Integration Works (High Level)
- Install and authorize Add the Alva Labs app from Greenhouse’s marketplace and authorize API access so Alva can push assessment invites and pull results.
- Map assessments Map Alva tests (Personality, Logic, Coding) to specific job templates or stages in Greenhouse so invites trigger automatically based on workflow rules.
- Automate invites When candidates reach the mapped stage, Greenhouse triggers an Alva invite; candidates receive a single sign-up link and complete assessments online.
- Results sync Alva returns scores and structured reports to the candidate profile in Greenhouse, often as attachments or custom fields for easy review.
- Structured interviews Use Alva’s interview templates and scores within Greenhouse to guide interviewer questions and to capture standardized ratings.
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 |
Core Features Exposed Through the Integration
- Automated assessment assignments Assign specific tests based on job, department, or stage without manual email invites.
- Score and report syncing Candidate test results, percentile ranks, and recommended interview focus areas appear in Greenhouse profiles.
- Interview templates Structured question sets and scoring rubrics populate interviewer instructions in the ATS.
- Coding tests with real-world tasks Developer assessments use scenarios from top companies and are viewable via a single link inside the candidate record.
Who benefits most from the Alva–Greenhouse integration? Hiring teams that need objective, role-aligned signals early in the funnel see the largest gains—particularly teams that hire at scale for technical and non-technical roles, that want to standardize interviews, or that need consistent, research-backed assessments to complement resumes and interviews.
Who Should Consider This Integration
| Hiring Profile | Why Alva + Greenhouse Fits |
|---|---|
| High-volume technical hiring | Automated coding tests and clear pass/fail or rank reports reduce screening time and surface candidates with applied skills. |
| Structured interview programs | Interview templates and scorecards ensure consistency between interviewers and enable defensible evaluations. |
| Small teams scaling hiring | Objective, short (15-min) logic tests and personality measures speed early screening when internal bandwidth is limited. |
| Companies hiring across regions | Alva’s online tests and language support integrate into Greenhouse workflows used globally, maintaining consistent assessment criteria. |
Measurable benefits to expect include faster time-to-offer, reduced time spent on initial screeners, higher signal-to-noise in the shortlist, and more standardized interviewer feedback. The biggest practical improvement is operational: assessments assigned automatically and results centralized in Greenhouse cut administrative handoffs and reduce candidate drop-off caused by slow manual processes.
Implementation Checklist (Practical Steps)
- Confirm licensing and API access Ensure your organization’s Alva and Greenhouse accounts include integration permissions and any necessary admin approvals.
- Define mapping rules Decide which roles get which tests and at which Greenhouse stage they should trigger (e.g., 'Phone Screen' or 'Take-home').
- Set communication templates Customize candidate invitation messaging and reminders to match employer brand and reduce drop-outs.
- Train interviewers Show hiring managers how to read Alva reports and use interview templates to score consistently.
- Pilot and measure Run a short pilot on one role, collect metrics, and adjust mapping and thresholds before a full rollout.
Metrics to Track After Launch
- Time-to-screen completion Average time from assessment invite to completed test; track how automation affects this metric.
- Candidate completion rate Percentage of invited candidates who finish tests—use messaging or timing changes to improve low rates.
- Conversion by assessment score Monitor how candidates in different score bands progress through interviews and offers to validate thresholds.
- Interviewer consistency Compare inter-rater agreement before and after templates to quantify gains in standardized scoring.
Data handling and privacy considerations: the integration exchanges assessment invites and results between Alva and Greenhouse. Confirm data retention policies, storage locations, and access controls with both vendors and your legal/privacy teams. In most deployments, results appear as attachments or custom fields in Greenhouse while raw test logs remain on Alva’s platform—verify what is stored where and for how long.
Practical limitations to consider: Alva provides predictive signals but not a single-source hiring decision; assessments are most effective when combined with interviews and work samples. Some roles require bespoke assessments not covered by Alva’s templates, and integration setup requires admin time and coordination between recruiting operations and IT.
Objective Comparison: Alva Integration vs Manual Screening
| Aspect | Alva + Greenhouse | Manual Screening |
|---|---|---|
| Speed | Automated invites and results sync reduce admin time significantly. | High: recruiters manually sending invites, chasing candidates, and entering scores. |
| Consistency | Standardized tests and interview templates improve comparability. | Variable: different interviewers use different criteria and scoring. |
| Predictive validity | Research-backed logic and personality tests increase predictive signal for job performance. | Relies on resume and interview impressions which are noisier predictors. |
| Setup effort | Requires initial configuration and training. | Lower initial tech setup but higher ongoing administrative effort. |
Best Practices for Maximum ROI
- Use short, role-relevant tests early 15-minute logic tests or single coding tasks reduce candidate friction while giving predictive information.
- Calibrate score bands to hire outcomes Map historical hires to Alva scores in a pilot to set meaningful thresholds rather than relying on defaults.
- Combine assessments with structured interviews Let Alva scores prioritize candidates and interview templates capture behavioral evidence tied to role requirements.
- Monitor candidate experience Track completion rates and candidate feedback; reduce steps or clarify instructions if drop-off is high.
Common Questions About the Integration
Q: Can Alva results be used to auto-disqualify candidates in Greenhouse?
A: Technically yes if you configure automation rules, but best practice is to use results as a decision input rather than an automatic reject to avoid false negatives.
Q: Are coding test environments proctored?
A: Alva’s coding tests are designed as realistic tasks; specific proctoring options vary—check Alva’s product documentation for proctoring features.
Q: What languages and regions does Alva support?
A: Alva supports multiple languages including English, Finnish, Norwegian, and Swedish, and is deployed across APAC, EMEA, and North America with region-appropriate data handling options.
Q: How long does implementation take?
A: A basic integration and pilot can be completed in a few days to a few weeks depending on admin bandwidth and approval processes.
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