Talent Assessments
Know what they actually know. Before you hire.
Build an adaptive assessment from your own body of knowledge. Get a citation-backed mastery profile of every candidate.
Maya R.
Sr. Backend Engineer · Level 5 · 8+ yrs · Assessed 14 min ago
Overall mastery
79
Confident
K-Bytes assessed
96
Mastery levels
New
0
Familiar
0
Comfortable
8
Confident
45
Fluent
43
Audit-ready · every score cites the items it came from
Systems Design & Architecture
16 kb
84%
Consistency models
92%
Strong vs eventual consistency
CAP theorem in practice
Communication patterns
84%
Sync vs async messaging
Message delivery semantics
Service decomposition
82%
Monolith to services
Microservice boundaries
Event-driven architecture
78%
Choreography vs orchestration
Event sourcing
Data modeling & storage
16 kb
79%
Schema design
88%
Normalization depth
Indexing strategy
Query optimization
80%
Planning and EXPLAIN
Write throughput
Document & key-value
76%
Single-table design
Consistency controls
Streaming & logs
72%
Kafka fundamentals
Exactly-once processing
API & service design
16 kb
88%
REST craft
94%
Resource modeling
API versioning
GraphQL & gRPC
90%
Schema-first design
gRPC streams
Error semantics
86%
Problem details
Rate limits and backoff
Schema evolution
82%
Breaking-change policy
OpenAPI discipline
Reliability & operations
16 kb
74%
Metrics
86%
Golden signals
Cardinality control
Logging and tracing
78%
Distributed tracing
Structured logs
On-call craft
68%
Runbook discipline
Alerting hygiene
Postmortems
64%
Blameless culture
Corrective actions
Performance & scale
16 kb
71%
Cache patterns
82%
Look-aside caching
Write-through vs write-back
Edge & CDN
74%
HTTP caching
Edge compute
Concurrency primitives
68%
Locks and contention
Async and backpressure
Load testing & capacity
60%
Model-first tests
Capacity planning
Security & compliance
16 kb
62%
AuthN and AuthZ
72%
OAuth 2.1 and OIDC
Session and key management
Common vulnerabilities
64%
Injection classes
SSRF and supply chain
Encryption
58%
In transit and at rest
Key hierarchy
Regulatory
54%
GDPR essentials
HIPAA basics
The problem
Hiring signal is collapsing. Assessments need to catch up.
Résumés are noise, take-homes are gamed, and panel interviews score on vibes. You need a way to see what a candidate actually understands, and you need it to hold up under scrutiny.
Problem
Résumés tell you nothing
Keyword filters let anyone through. You can't tell a 10-year expert from a résumé stylist until you've already spent hours on interviews.
Problem
Take-home tests are gamed
Candidates paste questions into ChatGPT. Anyone can submit a clean solution. Your hiring signal collapses to zero the moment the test goes public.
Problem
No common rubric across candidates
Every interviewer asks different questions. Every panel scores on feel. The hiring committee debates vibes, not evidence, and bias creeps into every call.
The Nexera approach
From a body of knowledge to a hiring decision. In one system.
Four steps that turn your source material into a defensible, AI-graded assessment, without a content team and without a test-prep industry growing up around it.
Source to assessment
Your job description becomes an assessment in minutes.
Drop in a JD, a syllabus, or a policy doc. Nexera extracts the concepts that matter, builds a concept graph, and generates a pool of scenario items calibrated to the seniority you're hiring for. No item-writing committee, no six-week lead time.
Concept graph auto-built from your source material
Scenario, short-answer, and code-reasoning items for any role
Difficulty calibrated to seniority and scope
Every item cites the concept it measures
Job description · parsed
Design and operate low-latency APIs, own data models that scale past 1B rows, and mentor a team on observability and SLOs.
Concepts extracted
Generated items
Scenario
A write-heavy service is exceeding its p99 SLO. Propose a data-modeling change before adding hardware.
Short answer
Explain when you'd pick an append-only log over a relational table for event data.
Hard to game
Adaptive assessments that resist ChatGPT and answer leaks.
Dynamic item pools mean no two candidates see the same test. Open-response prompts are graded against your rubric, not a multiple-choice key. Optional proctoring flags tab-switches, paste events, and unusual response timing, so the signal you get is the signal you can trust.
Unique item pools per candidate, sampled from a live bank
Open-response scoring graded to your rubric, with reasoning
Proctor signals: tab focus, paste detection, response pacing
Zero-retention mode for sensitive candidate data
Integrity signals · live
Tab focus
100%
Paste events
0
Pace variance
Low
Unique 14-item pool sampled for this candidate
Open-response graded against rubric v4.2 with reasoning
Zero-retention mode: transcript purged 24 hours after decision
EU data residency · audit-friendly exports · EEOC-reviewed rubrics
Knowledge profile
A profile your hiring committee will actually argue from.
Every candidate walks away with a mastery score per concept, a strengths and gaps breakdown, and a transcript your panel can audit. Compare the shortlist side by side, filter by the concepts the role actually needs, and watch your hiring bar tighten without extra interview loops.
Mastery per concept, not a single blunt score
Strengths, gaps, and reasoning, each cited to an item
Side-by-side shortlist comparison for committee review
Exportable audit trail for legal, bias, and compliance reviews
Shortlist · side by side
Maya R.
82
Strongest: Distributed systems
Jordan S.
74
Strongest: API design
Priya K.
69
Strongest: Observability
Recommended: Maya R.
Top on 3 of 4 role-critical concepts, with cited reasoning on two scenario items. Committee-ready audit export.
Every score traces to a specific item, transcript, and rubric section
Who it's for
Built for anyone making a decision based on what someone knows.
Whether you're filling a role, admitting a cohort, or credentialing a practitioner, Nexera gives you a repeatable, auditable way to measure real knowledge.
Recruiters
Talent & staffing teams
Screen top-of-funnel without interview burnout. Hand hiring managers a ranked shortlist with evidence, not just résumés.
Hiring managers
Functional leaders
Define what mastery looks like for your role once, then use it to compare every candidate on the same axis.
Academia
Universities & bootcamps
Admit, place, and exit students based on what they actually know. Build mastery-based credentials your graduates can carry.
Certifications
Credentialing bodies
Run secure, adaptive exams at scale. Every credential backed by a concept graph and an audit trail your board can review.
The outcomes
Fewer bad hires. Fewer wasted interviews. Stronger decisions.
-62%
Time spent on first-round interviews
Panels only talk to candidates who already cleared a real knowledge bar, so every conversation goes deeper, faster.
3.1×
Hiring signal vs. take-home tests
Mastery-per-concept scores correlate with 90-day performance reviews at 3.1x the rate of traditional take-home assignments.
+41%
Shortlist-to-offer conversion
When the committee argues from evidence instead of impressions, offers go out faster and candidates accept at a higher rate.
“We used to screen engineers with a 4-hour take-home that half our candidates had already seen on Glassdoor. With Nexera, every candidate gets a unique adaptive assessment tied to the JD. Our on-site pass rate jumped, and we cut first-round interviews by more than half.”
Head of Talent
Series C fintech, 900 employees
Pair it with
Assessments plug straight into the rest of Nexera
Talent Assessments
Bring a JD. Leave with an assessment.
In 25 minutes, we'll take a real role or syllabus from your org and turn it into a live, adaptive Nexera assessment you can share with the next candidate on your list.