Communication & Behaviour Assessment
TOOLS · EXPERTINI ATS

Communication & Behaviour Assessment

Situational-judgement and STAR-based behavioural assessments generated from your real job — the soft-skill evidence a CV can't show, scored into the same pipeline as everything else.

3 min read · Updated July 2026 · Expertini Editorial

Technical screening tells you whether a candidate can do the work; it says nothing about whether they'll communicate a blocker before it becomes an outage, handle a frustrated stakeholder, or own a mistake. Those are the qualities most exit interviews cite when a hire doesn't work out — and the part of the pipeline most teams still assess with nothing more structured than "seemed nice on the call". The Communication & Behaviour Assessment closes that gap with the same machinery as the technical assessment: an AI-generated, job-calibrated question set, delivered by link, locked to your real applicants, scored into your pipeline.

The generated mix is deliberately different from a technical test: roughly 35% multiple-choice, 25% situational-judgement questions ("your deploy broke staging an hour before the demo — what do you do first?"), 20% short answers, and 20% open scenario questions asking how the candidate would actually communicate or act. Behavioural questions are STAR-friendly by design — they ask about real past situations, not hypothetical ideals, which is what makes the answers scoreable rather than performative.

TRY A REAL SAMPLE — 2 SCENARIOS FROM AN ACTUAL BEHAVIOUR ASSESSMENT
1 · A stakeholder demands a new feature mid-sprint and says it's urgent. What do you do first?
Add it quietly and work late to fit it in
Clarify the impact, then re-prioritise openly with the product owner
Decline — the sprint is locked, no exceptions
2 · You strongly disagree with a colleague's review comment on your work. Your next step?
Discuss it 1-to-1 with evidence, and escalate only if you still can't agree
Apply the change anyway to avoid conflict
Reply publicly explaining why they're wrong
Scenario answers in the product are reviewed against a hidden guidance rubric — AI proposes a score with rationale, and a human recruiter confirms or overrides every point. Nothing auto-rejects a candidate.
Watch the 30-second overview — no sign-up needed
4formats mixed — MCQ, situational judgement, short answer, open scenario
STARframing for behavioural questions — real past situations, not hypotheticals
5–50questions per generated assessment
1evidence trail — scores land beside CMS, technical, and interview results

01How it fills the pipeline gap — a typical flow

In the Python Developer example, the eight candidates who passed the technical test look similar on paper. A 12-question behaviour assessment separates them on a different axis entirely: the situational-judgement MCQs score themselves on submit, and the open answers — how each candidate says they handled a real conflict, a missed deadline, an ambiguous spec — sit side by side for your team to score against per-question guidance. Two candidates who were mid-pack technically turn out to be exceptional communicators; one technical star writes two-word answers to every scenario. That's exactly the information a panel usually discovers three interviews too late, surfaced before anyone booked a meeting room.

02One evidence trail, not three tools

Because behaviour assessments use the same applicant lock as every Expertini assessment — candidates must start with the email they applied with — every score lands on the application record next to the CMS score, the technical result, and the video interview review. The candidate's audit report PDF then reads as one coherent evidence trail: matched on requirements, verified technically, assessed behaviourally, interviewed — each step scored, attributed, and timestamped. For regulated hiring or any process that might be challenged later, that single document is the difference between "we followed a process" and being able to show it.

03Honest scoring for soft skills

Soft-skill scoring is where assessment tools most often overclaim, so this one is explicit about its layers: machine-checkable questions score deterministically; open answers are scored by humans (free) or AI-reviewed against the marking guidance the generator wrote per question (2 credits), and every AI-proposed score is overridable. The assessment never produces a personality verdict or a psychometric label — it scores specific answers to specific job-relevant scenarios, which is both more defensible and more useful.

04What it costs — and what it doesn't

Generation is 3 AI prompt credits; AI review of one attempt is 2; manual scoring and custom questionnaires are free — all inside your existing plan. Standalone situational-judgement and behavioural testing platforms typically price per candidate; here the capability is native, unlimited by headcount, and its results live where your decisions do.

Engineering notes

Platform architecture & operations

A1Architecture: where it sits in the platform

Communication & Behaviour Assessment is a first-class module of the Interviewing suite inside the authenticated Expertini ATS workspace. The platform is deliberately server-rendered: every view is prepared by the application server and shipped as complete HTML, with no client-side framework, no third-party CDN scripts, and no build pipeline between the data and the page. What renders is what the server computed — the property that makes the interface auditable.

All persistence runs on a single search-native document store; every query carries the organisation's identifier as a mandatory filter at the lowest query layer. Tenant isolation is therefore structural — a property of how every request is composed — rather than a policy that relies on application code remembering to check.

Availability is governed by the platform's tool registry: this tool is registered from the Growth plan, and access is enforced server-side by the registry gate on every request — never by hiding a button. Plans also carry a monthly distinct-tool quota (3 / 5 / 15 / 30 / 45 across Trial→Business, unlimited on Enterprise), counted at the same chokepoint. The pricing page states both honestly: what is available, and how much of it the month includes.

A2Data model and dependency map

In production the tool reads and writes assessment definitions (ats_assessments), assessment attempts (ats_assessment_attempts). Documents are plain, explicitly-mapped fields — mappings are provisioned ahead of first write, so term filters and aggregations behave deterministically instead of depending on inferred types.

Every distinct open is journalled to the tool-activity store — and that journal, not a parallel analytics system, is what the Reports section aggregates. The usage numbers you see are the numbers the platform actually recorded.

Anything that leaves the request path — notification fan-out, webhook delivery, activity journalling, mail — runs in fire-and-forget background threads. A slow external endpoint can never make the interface hang, and a failed side effect is logged rather than silently retried into inconsistency.

A3Operational considerations

Organisation-level settings, destructive actions, and connections are gated to owner and admin roles; recruiters operate the tool on the records they can see. Role changes apply on the next request — enforcement is at the route, not in the menu.

Failures are surfaced, not swallowed: server-side validation returns the exact field and reason, vendor errors are quoted verbatim where integrations are involved, and every write either confirms or reports. Exports regenerate on request rather than being cached — a report you download reflects the store at the moment you asked, not last night's snapshot.

Everything written is yours to take: CSV exports and the Data Export app cover the same stores the product itself reads. The exit is as open as the entrance — by design, not concession.

A4Interaction contract

The interface follows the platform's search-and-select convention: any field that names a real record — a candidate, client, or job — is a type-to-search picker over live data, never a free-typed string, which is what keeps activity trails and deduplication trustworthy. Static choices are filter-as-you-type combos rather than native dropdowns, and state transitions give explicit feedback: server confirmations surface as toasts, validation errors name the exact field, and nothing is shown as done that the server has not confirmed.

The wireframe and flow below document the structural contract of the surface — what panels exist, what order the states occur in, and what happens at every edge — rather than pixels. The layout is composed with native CSS grid and flexbox and adapts from wide desktop to a single column without separate mobile views.

Dependency map

Reads / writesats_assessments, ats_assessment_attempts
Access gateGrowth plan and above — enforced server-side by the tool registry
Monthly quotadistinct tools per month: Trial 3 / Starter 5 / Growth 15 … unlimited on Enterprise
Usage journalats_tool_activity (per open)
Tenancyevery query filtered by organisation id at the query layer
Side effectsbackground threads — never on the request path

Interface blueprint

Structural schematic of the surface — panels, hierarchy, and interaction affordances. A contract, not a screenshot.
Filter bar
combo: statuscombo: rangesearch
action
action
action
action
Fig. 1 — Communication & Behaviour Assessment: structural interface schematic. Panels and states are the contract; data shown is placeholder.

Interaction flow — states, validations, feedback

Every state below is enforced server-side; the interface reports it, it doesn't decide it.
Open listregistry gate: plan + monthly quota
Filterserver-side filters; combos over native selects
Act on a rowrecords picked, never re-typed
Server writevalidated + journalled
Feedbacktoast confirms; the row reflects the stored state
Validation failure → the field and reason, inlineConcurrent change → the list re-reads the store; no phantom rowsPlan below minimum → lock page shows the exact tier ladder
Fig. 2 — interaction flow: navy = states, gold = server-enforced gates, green = confirmed outcomes; tags list the edge cases and their feedback.

Frequently asked questions

How is this different from the Technical Assessment?
Same delivery machinery, different content: this one generates situational-judgement and STAR-based behavioural questions focused on communication, collaboration, stakeholder handling, conflict resolution, and ownership — calibrated to the same real job description.
Is this a personality test?
No. It scores specific answers to job-relevant scenarios against per-question marking guidance. It never outputs personality labels or psychometric categories — deliberately, both for fairness and defensibility.
Who can take it?
Only candidates who applied to the linked job, using the email address they applied with. Results land on their application in your pipeline and in the audit report PDF.
What does it cost?
Generation uses 3 AI prompt credits from your monthly plan allowance; AI review of a response uses 2; manual scoring and hand-written custom questionnaires are free. There are no per-candidate fees.

At a glance

  • Situational-judgement + STAR behavioural questions from your real job description
  • Surfaces communication and ownership signals CVs and technical tests miss
  • Locked to applicants — scores land on the application and audit report
  • MCQs auto-score; open answers scored by your team (free) or AI-reviewed
  • No personality labels — scenario answers scored against explicit guidance
  • Native feature: no per-candidate fees, no separate assessment vendor

See communication & behaviour assessment on your own hiring.

Bring a real job description to a 30-minute demo — free trial included.

Book a demo
Expertini AI
Online now
Hi! I'm Expertini's AI Product Expert. Ask me anything about our solutions, get guidance on any of our Hiring Tools, or just tell me what you're trying to do — I'll point you in the right direction. For account-specific issues, email support@expertini.com.