EmployLabs.
Signal Interview™ · Live Assessment

Meet Naira.
The Interview That Thinks Back.

One assessment agent. Every role, every industry.

Engineering. Sales. Product. HR. Finance. Marketing. Legal. Clinical. Naira generates a fresh assessment for whoever walks in — calibrated to the role, not pulled from a question bank.

10+
Industries covered
3-8s
To generate a session
0
Pre-built blueprints
Naira · LiveM1 / 4
Now interviewing
Backend Engineer
Track
Tech · L3
Naira · Speaking
N : Walk me through this endpoint. What stands out about the access control?
You : The DELETE doesn't check ownership — anyone with a token can delete any record.
probing
delete_user.pyreadonly
@router.delete("/{id}")
async def delete_user(id, db):
user = await db.get(User, id)
if not user: raise 404
await db.delete(user)
for p in user.posts:
await db.delete(p) # N+1
await db.commit()
CRITICALMissing ownership check
PERFN+1 on cascade delete
M1 — Artifact Audit
10 Role Categories · 4 Seniority Tiers

If you can write a JD, Naira can run the assessment.

Drop in any role description. Naira reads the ICP, the JTBDs, and the seniority — and composes an interview that fits.

ENG
Engineering
Backend · Frontend · DevOps · ML · Security
SLS
Sales
AEs · SDRs · Sales Eng · RevOps
PRD
Product
PMs · Designers · Analysts
MKT
Marketing
Brand · Demand Gen · Content · Growth
HR
People & HR
HRBPs · Recruiters · Comp · L&D
FIN
Finance
FP&A · Accounting · Treasury
OPS
Operations
BizOps · PgM · Strategy · Procurement
CS
Customer Success
CSMs · TAMs · Implementation
LGL
Legal
Counsel · Compliance · Contracts
RX
Healthcare / Regulated
Clinical Ops · Pharma · MSLs
Why Naira

Production hires don't fail at producing.
They fail at judgment.

Whether it's a backend engineer reviewing an API, a sales AE reading a proposal, or a clinical lead signing off on a deviation memo — the hardest skill is knowing whether the work in front of you is good. That's what Naira tests, in conversation, on artifacts that don't exist before the call begins.

01
Before

Static question banks recycled across 1,000 candidates

Naira

A fresh artifact, generated mid-session, calibrated to this candidate

02
Before

Multiple-choice that rewards pattern recognition

Naira

Open dialogue that surfaces priorities, trade-offs, and blind spots

03
Before

One assessment platform per function, ten vendors to wrangle

Naira

One agent across engineering, sales, product, HR, finance, and beyond

04
Before

A score with no audit trail — or a 200-page transcript no one reads

Naira

RAR scoring per dimension, traceable to the moment in conversation

The Four Modules · Universal

Four ways to test judgment.
Same modules. Any role.

M1–M4 are universal. Naira composes them based on role and seniority — and the artifacts swap from code to docs to scenarios depending on whether you're hiring an engineer, a marketer, or a clinical ops lead.

M1Artifact Audit

Review & Critique

Naira generates a work artifact with seeded flaws. The candidate reviews aloud while Naira probes what they find and miss.

Critical thinkingDomain depthQuality bar
What this module looks like, by role
EngineerFastAPI endpoint with N+1 + missing auth
Sales AEEnterprise proposal with wrong ICP framing
HRJD with biased language + missing requirements
PMPRD with misaligned metrics + missing edge cases
MarketingCampaign brief with wrong audience targeting
ClinicalDeviation memo with symptomatic root cause
M2Scenario Triage

Crisis Decision-Making

A messy real situation with no clean answer. Naira listens for priorities, stakeholders, communication, trade-offs.

Judgment under pressureStakeholder reasoningPragmatism
What this module looks like, by role
EngineerProduction DB corrupted, 50K users offline
Sales AEChampion goes silent 3 weeks before close
CS LeadEnterprise client threatening public churn
FinanceR&D 40% over budget the day before board
OperationsVendor fails QA on critical shipment
HRStar performer accused on internal Slack
M3Strategy / System Design

Deep Thinking

A complex, role-anchored design challenge. Naira probes layer by layer — assumptions, trade-offs, blast radius.

Systems thinkingArchitectural tasteCommunication
What this module looks like, by role
VP EngOrg-wide rate limiting across 50 microservices
Head of SalesGTM motion for DACH on €200K budget
PMDiscovery process for AI replacing manual workflow
MarketingBrand reposition under new category entrant
Finance DirReforecast model under 30% revenue cut
LegalMulti-jurisdiction data residency strategy
M4Improve / Extend

Hands-On Work

Naira opens an editable artifact and the candidate works while talking through it. Read-only flips to editable mid-session.

Execution craftRefactoringWorking clarity
What this module looks like, by role
EngineerAdd retry-with-backoff to a batch processor
MarketingRewrite executive summary of a campaign brief
PMFill in success criteria + kill metrics in a PRD
HRDraft an interview scorecard from a JD
SalesReframe a pricing proposal around buyer ROI
LegalMark up a contentious vendor clause
Module CompositionSame logic across all 10 role categories
L1Junior
M1 · M2 · M4
Read, evaluate, do basic work
L2Mid
M1 · M3 · M4
First exposure to design thinking
L3Senior
M1 · M3
Pure judgment & systems thinking
L4Director
M1 · M2 · M3
Strategy, crisis, systemic design
Conductor-Driven, No Blueprints

A simple architecture, doing what AI does best.

No pre-built blueprints. No artifact libraries to maintain. No SME review queues. The JD processing context — ICP, JTBDs, RAR framework, skill graph — flows into one LLM call that generates the session plan. From there, the Conductor runs it.

01LLM · One-shot · Pre-session

Session Plan Generator

Reads ICP, JTBDs, RAR, skill graph, candidate resume. Outputs module sequence, time allocations, probing strategy, scoring dimensions. ~3-8 seconds.

GPT-class LLMSingle callPlan, not artifacts
02Pure code · State machine · No LLM

The Conductor

Phase transitions. Time budget enforcement. Screen-switch commands. Adaptive triggers. Coverage tracking. The thing that keeps the AI on the rails.

DeterministicRedis-persistedCrash-safe
03LLM · Streaming · Mid-session

Voice Agent + Dynamic Screens

Asks questions, probes, generates artifacts on-the-spot, evaluates judgment through conversation. Reacts to what it learned in warmup.

Streaming voiceOn-the-spot artifactsAdaptive depth

Five screens. Naira chooses live.

Voice Only
Warmup, M2 triage, M3 open
Voice + Code Viewer
M1 review, technical roles
Voice + Doc Viewer
M1 review, non-technical
Voice + Code Editor
M4 hands-on, technical
Voice + Doc Editor
M4 hands-on, non-technical
RAR Scoring

Every score points to a moment in conversation.

Naira scores against the role's RAR framework — dimensions, weights, hard-fail flags. The result is multi-signal: transcript analysis, artifact engagement, coverage of seeded flaws, and probe-layer depth. Open the report and click any dimension to jump to the exact transcript moment.

3.9
Naira Score
2/2
Hard-Fail Pass
100%
JTBD Coverage
MK
Maya K. — Enterprise Account Executive
Session 4f29a · 55 min · L3 · Sales
Strong Hire
Naira Score (weighted)3.92 / 5
Deal QualificationHard-fail
w 30%
4.2Strong
Stakeholder MappingHard-fail
w 25%
3.6Solid
Commercial Reasoning
w 25%
4.0Strong
Communication Quality
w 20%
3.8Solid
Transcript Trace · Deal QualificationM2 @ 18:42

"…the champion going dark before procurement isn't a closing problem — it's a buying-committee problem. I'd stop selling features and start asking who else has to say yes. If we can't get a CFO meeting in week one, the deal isn't real, and I'd rather find that out now than chase it for a quarter."

+0.6multi-threading instinct, qualification rigor
Two Sessions, One Pipeline

Screen wide. Assess deep. Hire confident.

Round 115-30 min

JTBD Voice

Naira's lighter cousin covers all JTBDs with breadth.

Round 230-75 min

Naira Assessment

Deep judgment. M1-M4 composed for role and seniority.

Round 3Optional

Human Panel

Specialist recruiter reviews Naira report, runs final check.

92%
False-positive reduction

"Naira caught the senior AE who couldn't articulate a buying committee — three rounds of human panels had passed him."

— Enterprise SaaS, EMEA
5.2x
Throughput per recruiter

"We replaced four assessment vendors — eng, sales, PM, and HR — with one Naira contract. Recruiters got their week back."

— Series-C Fintech, Bangalore GCC
0
Question banks to maintain

"Every candidate gets a unique session. Nothing to update, nothing to leak, nothing to game — across every function we hire for."

— Healthcare Platform, US
Run a Naira Session

Stop hiring on resumes.
Start hiring on judgment.

Drop in a JD. We'll generate a calibrated session and run a sample assessment on your strongest current engineer — so you can see what Naira sees, before a single new candidate enters the pipeline.