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Arctic Shores and Greenhouse Integration: Automate Task-Based Assessments and Objective Trait Scoring

Titus Juenemann April 15, 2024

TL;DR

The Arctic Shores–Greenhouse integration automates delivery of task-based assessments and imports objective trait and reasoning scores into Greenhouse, enabling recruiters and hiring managers to make faster, data-driven decisions and deliver consistent candidate feedback. The integration suits high-volume and role-focused hiring programs, supports multiple languages and regions, and includes manager guides and automated reporting; to implement successfully, define role-specific traits, pilot calibrations, and track time-to-hire and interview-to-offer metrics. For maximum efficiency, pair assessment outputs with AI resume screening—such as ZYTHR—to automate CV triage, reduce manual review time, and improve screening accuracy across your hiring funnel.

The Arctic Shores integration for Greenhouse connects task-based assessments that measure personality traits and workplace intelligence directly into your applicant tracking workflow. It replaces scoreless screening and one-dimensional CV reviews with objective, task-derived measures and automated candidate feedback, all surfaced within Greenhouse for recruiter and hiring manager action.

What the Arctic Shores–Greenhouse integration does

  • Automates assessment delivery Triggers Arctic Shores assessments from Greenhouse stages so candidates receive tasks without manual administration.
  • Pushes scores into Greenhouse Assessment results and trait scores are mapped into candidate profiles and can be used to filter and move candidates through pipeline stages.
  • Generates candidate feedback Every candidate who completes the assessment receives an automatically generated, actionable feedback report.
  • Provides manager guidance Hiring managers receive a concise guide aligned to the assessed traits to structure interviews and probe potential.

Who needs this integration: hiring teams that want objective, task-based data to complement resumes and interviews. Typical adopters include high-volume recruiting teams, technical hiring pipelines, graduate and early-career programs, and enterprise talent teams managing consistent evaluation criteria across multiple hiring managers and regions.

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Name Score Stage
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Feature snapshot — quick reference

Feature Why it matters
Task-based personality measures Presents real-task behaviour rather than self-reported traits, reducing pattern-practice and social desirability effects.
Inductive and quantitative reasoning tasks Assesses workplace intelligence and learning capacity with dynamically generated sequences that prevent prior memorization.
Automated candidate feedback Improves candidate experience and removes administrative burden by delivering tailored reports immediately after completion.
Greenhouse score integration Enables recruiters to use assessment outputs as filters, triggers, or interview prompts inside existing ATS workflows.

Key, measurable benefits

  • Faster screening throughput Automated assessment invites and result imports reduce manual triage time and enable recruiters to focus on higher-value interactions.
  • Improved candidate experience Candidates receive a clear feedback report, increasing transparency and reducing follow-up communication load on teams.
  • Consistent, role-aligned evaluation Talent teams select target traits and apply the same assessment criteria across roles and regions to keep assessment outputs comparable.
  • Accessibility and reasonable adjustments Assessments are designed to reduce test anxiety and include provisions for reasonable adjustments, supporting candidates with specific needs.
  • Reduced hiring administration cost By automating scoring and integrating with Greenhouse, teams cut hours spent exporting, importing, and manually scoring assessments.

How the assessments work: candidates complete a series of brief, intuitive tasks developed with behavioural science input (including academic collaboration) that capture task performance rather than self-assessment. Tasks measure personality-linked behaviours such as adaptability and determination through scenario-based interactions, and two reasoning tasks measure inductive and quantitative reasoning with randomly generated sequences to prevent practice effects.

Assessment components and what they measure

Component Measures
Task-based personality series Behavioural tendencies relevant to workplace success (e.g., adaptability, persistence, proactivity).
Inductive reasoning task Pattern recognition and learning speed — ability to infer rules from examples.
Quantitative reasoning task Numerical problem solving and basic quantitative interpretation under time constraints.
Automated feedback report Clear strengths, development areas, and suggested focus points for interviews.
Hiring manager guide Question prompts and behavioural indicators tied to assessed traits to structure objective interviews.

Typical integration workflow with Greenhouse: after configuring the job stage, the recruiter triggers an assessment invitation automatically when a candidate reaches a designated stage. Candidates complete the assessment; scores and the feedback report are uploaded to the candidate record in Greenhouse. Recruiters and hiring managers view trait scores, use manager guides during interviews, and make data-informed progression decisions without leaving the ATS.

Implementation considerations and technical requirements

  • Languages and regional availability Arctic Shores supports multiple languages (English, Spanish, Arabic, Chinese, French, German, Italian, Dutch) and is used across APAC, EMEA, and South America—verify language defaults per role.
  • Greenhouse configuration Map Arctic Shores assessment fields to Greenhouse custom fields; set automation rules for stage transitions and score thresholds if required.
  • Data security and privacy Assess integration settings for data retention, candidate consent, and refer to the Arctic Shores privacy policy and Greenhouse support docs for compliance.
  • No partner implementation fee The integration does not require a partner implementation fee; however, plan for internal project time to configure workflows and stakeholder training.
  • Accessibility and reasonable adjustments Plan accommodations and communicate adjustment procedures in the candidate invite to ensure equitable access to tasks.

Common questions about deploying Arctic Shores with Greenhouse

Q: How long does the assessment take for candidates?

A: Most candidates complete the full assessment in 20–30 minutes; task lengths are modular and can be balanced to fit role needs.

Q: Can the trait set be customised for different roles?

A: Yes. Talent teams select the traits to prioritise and configure which task outputs map to role-specific indicators.

Q: How are scores used in Greenhouse?

A: Scores are imported into candidate records and can be used as filters, scorecards, or to trigger stage transitions according to configured thresholds.

Q: Is the feedback report the same for all candidates?

A: Reports are automatically generated but tailored to each candidate’s performance, providing personalised strengths and suggested development points.

Q: What technical support is available?

A: Use the Arctic Shores developer and support pages and Greenhouse support documentation for integration troubleshooting and best-practice setup.

Measuring success and ROI: define baseline metrics before rollout (average time-to-hire, recruiter hours per hire, candidate completion rates, quality-of-hire proxies like first-year retention). After launch, track assessment completion rates, downstream interview-to-offer ratios for assessed vs non-assessed candidates, and time saved in screening. Translating reduced manual triage time into recruiter-hours saved is a straightforward way to estimate cost savings.

Best practices for hiring teams using the integration

  • Define role-specific trait profiles Work with hiring managers to set 3–5 priority traits per role and document how those traits translate into interview evidence.
  • Calibrate scores with small pilots Run a pilot on one team or role to compare assessment outputs with hiring outcomes before full rollout.
  • Train hiring managers Provide a short session on interpreting reports and using the manager guide to make interviews more objective and focused.
  • Monitor candidate experience Track completion times and feedback report uptake to ensure the assessment remains engaging and accessible.
  • Combine data sources Use assessment scores alongside structured interviews and work samples to form a multi-method evaluation strategy.

Sample hiring flow — graduate software engineer (example): create a Greenhouse stage 'Assessment: Arctic Shores', configure the invite template and trait mapping (adaptability, learning agility, quantitative reasoning), set an automated trigger when a candidate passes CV screen, and set a lower-bound score for interview progression. After completion, hiring managers use the provided guide to ask targeted behavioural questions tied to the candidate’s assessment profile, and recruiters document outcomes in Greenhouse for later analysis.

Availability, company size fit, and resources

Attribute Details
Regions APAC, EMEA, South America
Company sizes Designed for mid-market to enterprise (1,001–10,000+); also suitable for high-volume programmes in smaller organisations
Languages English, Spanish, Arabic, Chinese, French, German, Italian, Dutch
Resources Arctic Shores privacy policy, Greenhouse support pages, developer documentation

Pair Arctic Shores insights with ZYTHR for faster, more accurate hiring

Use ZYTHR’s AI resume screening alongside Arctic Shores assessments in Greenhouse to automate CV triage, surface the best-fit resumes aligned to assessed traits, and save recruiter hours while improving screening accuracy. Start a free trial of ZYTHR to cut resume review time and integrate assessment signals into an efficient, data-driven hiring workflow.