ProblemProcessEvalCasesRequest access ▸

Hire engineerswho can actuallydo leetcode the job.

Scenr spins up a real environment from your stack — broken, on purpose. The candidate debugs it in a browser terminal. The eval agent reads every command, every idle moment, and writes a structured report scored on how they think — not what they memorised.

Request access ▸Read the spec
01 · session/terminal · payments-svc-degradedlive
02 · eval/report#PMT-0427
Instrumentation9
Blast radius7
Fix correctness10
Communication8
Tool fluency9
Recovery8
Overall8.5/10
VerdictSTRONG HIRE
03 · session/feed9 events
14:22:08$ session.startCMD
14:22:14$ kubectl get podsCMD
14:22:31$ kubectl logs --tail=8CMD
14:22:47pool exhausted detectedWARN
14:23:02idle 14sIDLE
14:23:16$ kubectl describe deployCMD
14:23:48$ edit configmap pool→50CMD
14:24:12$ rollout restart deployCMD
14:25:04$ verify pods RunningCMD
04 · cohort/q2-2026n=24
Sessions24backend cohort
Strong hire9▲ 37.5%
Lean hire625.0%
No hire9▼ 37.5%
Avg score6.8/10
Hrs saved142▲ vs panel
05 · candidate/indextop 5
A. Chensr backend8.5STRONG
T. Reyesstaff data8.9STRONG
M. Singhmid backend6.2LEAN
R. Parkmid platform5.8LEAN
J. Volkovmid backend4.1NO HIRE
01
The interview is broken.
n=4,827
sessions analysed
pilot data, q1 2026
METRIC 01↑ ENG-HRS
6hrs
Engineering time lost per candidate, panel-style. Multiply by your funnel.
METRIC 02UNDERPERF
40%
Of new hires miss expectations in their first 90 days. The interview tested something else.
METRIC 03SIGNAL
12×
More signal per minute from a debug session vs a whiteboard. Time-to-decision drops too.
METRIC 04—
0
LeetCode problems solved on the job, ever. The map is not the territory.
The interview isn't hard. It's fake.
02
Three steps. No panel.
~5 min
setup time
per scenario
01

Pick a scenario.

A library of pre-built broken environments — or define your own in YAML. Real stacks, real faults, real budgets.

STEP·01/CHECKLIST
  • ▸Pick template
  • ▸Set fault
  • ▸Set budget
  • ▸Define grading
  • ▸Save
$ scenr scenario new --from-template payments
# scenario.yaml
name: payments-svc-degraded
stack: [go, k8s, redis]
fault: connection-pool-exhaustion
budget: 45m
grade:
instrumentation_first: 1.5
blast_radius: 1.0
fix_correctness: 2.0
02

Send the link.

Candidate clicks, drops into the live environment in under 5 seconds. Browser terminal. Nothing to install. Nothing to fake.

STEP·02/CHECKLIST
  • ▸Provision
  • ▸Browser shell
  • ▸No SSH leak
  • ▸Recorded
  • ▸Idle tracking
# GET /session/0427
# 200 OK · cluster ready in 4.2s
 
$ kubectl get pods
↳ CrashLoopBackOff × 2
$ kubectl logs payments-svc
↳ ERR redis: pool exhausted
$ kubectl edit cm payments-config
↳ pool_size: 10 → 50
$ kubectl rollout restart deploy
↳ pods Running · 0 errors · 8m
03

Read the report.

Eval agent scores six dimensions, weighted to your config. You get a structured report you can act on without convening a panel.

STEP·03/CHECKLIST
  • ▸Action graph
  • ▸Score 6 dims
  • ▸Weighted total
  • ▸Replay link
  • ▸Shareable
# report/PMT-0427
candidate: A. Chen
verdict: STRONG_HIRE
score: 8.5
scores:
instrumentation: 9 ▰▰▰▰▰▰▰▰▰▱
blast_radius: 7 ▰▰▰▰▰▰▰▱▱▱
fix_correctness: 10 ▰▰▰▰▰▰▰▰▰▰
communication: 8 ▰▰▰▰▰▰▰▰▱▱
replay_url: /r/0427
03
What we measure. And weights.
6 dims
weighted total
0–10 scale
04
Score the scorers.
head-to-head
incumbent SaaS
vs scenr
Capabilitywhat teams actually need
Coding-test SaaSincumbent, gen 1
Live interview SaaSincumbent, gen 2
Scenrgen 3 · 2026★
Real stack environments
Ffail
Ffail
A+core
Process scoring (not output)
Ffail
Dpartial
A+native
Self-hosted / VPC
Fno
Fno
Ashipped
Onboarding ramp
Fno
Fno
Ayes
Day-1 signal vs day-90 outcome
Flow
Dmid
A+high
Feels like the actual job
Fno
Dsometimes
Aalways
GPAfinal
0.0F
1.3D+
3.95A
05
Hire. Onboard. Drill.
4 surfaces
same primitive
real environments
/01
Technical Hiring
use-case/hire.yaml
▸
Replace the final-round panel with a 45-minute lab. Calibrated scoring across candidates. Fewer engineers in loops, sharper signal per hour.
open · 12 pilots
06
Field reports.
verbatim
pilot transcripts
q1 2026
SOURCE/01 · ENG-LEAD-FT-001★★★★★
"This is the interview I wish I had given our last ten hires."
Engineering LeadSeries B fintech
SOURCE/02 · STAFF-PLAT-002★★★★★
"Finally something that tests what actually matters on day one."
Staff EngineerPlatform team · 80 eng
SOURCE/03 · HR-DIR-003★★★★☆
"We cut our hiring loop from 5 rounds to 2. Same hire quality. Half the eng-hours."
Head of TalentSeries C devtools
SOURCE/04 · CTO-004★★★★★
"My senior engineers stopped dodging interview duty."
CTOSeries A infra · 24 eng
[ 07 · TRANSMIT SIGNAL ]

Hire real engineers.

eng@scenr ~$request-access --email
No credit card · pilots free · 12 of 12 slots open · self-host on request