Interview Intelligence
Aggregates structured interview feedback into an evidence-based summary, helping a panel reconcile disagreement on a clearer basis.
A deeper analysis layer over your interview data — pulling signal across interviewer feedback and application data toward an evidence-based read on hire quality and culture fit.
It's built for a specific, recurring problem: interview panels frequently disagree, and just as often agree while actually weighing different things without realising it. Surfacing the aggregated evidence explicitly gives a panel a shared, checkable basis for the conversation instead of competing gut impressions.
On this page
01What it does
Aggregates structured interview feedback and application signals into an evidence-based summary view, with cited rationale in the same spirit as CMS scoring — traceable back to specific feedback rather than an opaque overall impression.
02Who it's for
Hiring managers running multi-interviewer panels who need to reconcile differing feedback, and teams that want the final hiring call grounded in a visible summary of the evidence rather than whoever argued most persuasively in the debrief.
03What makes this different
Like CMS scoring, it's built to be evidence-cited rather than an opaque AI impression — the summary traces back to specific structured feedback entries, so a hiring manager can check the underlying basis rather than take a synthesis on faith.
04Why it matters
Interview panels often disagree, or agree for different unstated reasons — surfacing the aggregated evidence explicitly helps a hiring manager make the final call on a clearer, more defensible basis.
05Pricing and what's included
Included from the Business plan upward, with a 14-day free trial available to try it against a real multi-interviewer loop before upgrading.
06Support
The Help Center explains how the summary is built from underlying feedback; support@expertini.com covers anything else.
Platform architecture & operations
A1Architecture: where it sits in the platform
Interview Intelligence 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 Business 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 job requisitions (ats_jobs), the candidate database (ats_candidates). 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
Interface blueprint
Interaction flow — states, validations, feedback
Neighbouring tools — Interviewing
Data canvas — how metrics render
Frequently asked questions
Does this make the hiring decision for the panel?⌄
Is the summary traceable back to specific feedback, or a black-box synthesis?⌄
Does this require every interviewer to use structured Interview Feedback forms?⌄
What plan includes Interview Intelligence?⌄
At a glance
- Included from the Business plan upward
- Evidence-based, cited rationale — same philosophy as CMS
- Helps reconcile disagreement across an interview panel
- Aggregates structured feedback, not vague impressions
- Traceable back to specific interview data
- 14-day free trial available
See interview intelligence on your own hiring.
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