Turn your candidate pool into a ranked leaderboard.

verdict ranks candidates by how well their judgment fits your role, constraints, and standards.

Ranked OutputEvidence Score
01
CWCharlie Woods
Backend Engineer
1945S
02
JHJames Hensworth
Platform Engineer
1912A
03
SRSara Roy
Founding Engineer
1887A
04
YLYael Lee
Systems Engineer
1854B+
05
KSKeith Singleton
Software Engineer
1820B

Every role has a unique shape.

Resumes make you guess
whether someone fits that shape
from the outside.

verdict lets candidates
demonstrate that fit directly.

Define what "great" means for each hire.

I need a
who can
Database Scaling Judgment
Section 1Weight: 100%

Database Scaling Judgment

Candidate Instruction Prompt
"Your fastest-growing customer is creating database pressure across a core workflow. How would you diagnose the bottleneck, choose the first fix, and protect product velocity while scaling?"
TraitsWeight
Systems Judgment
40%
Operational Prioritization
35%
Trade-off Clarity
25%
Non ranking traits
Query DiagnosisCost AwarenessIncident Communication
Custom Data Extraction
Likely Bottleneck@text
Scaling Strategy@tags
Risk Accepted@text

The memo shows how candidates actually think.

Candidates write the memo your role actually demands.

You define the situation: the project, the constraints, the decisions, and the trade-offs that matter for the hire.

Past WorkExplain a project you owned, the hardest decision you made, and what changed because of it.
ScenarioYou inherit a messy launch with one week left. Show how you would diagnose risk and choose what ships.
Trade-offCompare two reasonable paths, then defend the one you would take with limited time and headcount.
Internal Dossier // V-8924
Alexander Wright
Senior Staff Engineer
Strong Signal
Trade-offSignalUnique Insight

Every candidate, ranked by evidence.

The leaderboard is built through a 1v1 memo tournament.

verdict compares candidates by the quality of their reasoning. Each memo is judged against another memo, using your role constraints as the standard.

Tournament LogicMemo vs Memo
Candidate AvsCandidate B

After enough pairwise wins, the strongest applicants rise to the top. The first names on the board are there because they kept winning against real alternatives.

Rank
Candidate
Score
01
ALEXANDER WRIGHT
1945
02
VICTORIA CHEN
1912
03
MARCUS VANCE
1887
04
ELENA ROSTOVA
1854
05
JULIAN BAXTER
1820
06
SOPHIA LORENZ
1795
07
DAVID KENSINGTON
1762
08
AMARA SINGH
1735
09
THOMAS REED
1710
10
ISABELLA WARD
1685
11
LUCAS GRAHAM
1660
12
NATALIA ORTIZ
1635
13
JAMESON COLE
1612
14
MIA PATEL
1588
15
OLIVER HAYES
1565

Interrogate the gap between your finalists.

MMark ZuckerbergFounding engineer7 yrsSFA
Trait breakdownScore
System judgment92
Volatility execution88
Trade-off quality86
Domain depth72
Evidence snapshots
Consistency over availability under partition risk.
P.4
Write buffers decoupled ingest spikes.
P.6
Would revisit sharding strategy earlier.
P.9
MCP
VS
AJon JonesBackend engineer6 yrsBLRB
Trait breakdownScore
System judgment88
Volatility execution92
Trade-off quality84
Domain depth76
Evidence snapshots
Graceful degradation protected core user flows.
P.3
Circuit breakers contained blast radius quickly.
P.5
Telemetry would move earlier in the plan.
P.8
Example Questions
>

Make the shortlist obvious.

Turn a noisy applicant pool into ranked candidates, evidence, and finalist trade-offs.

See your best candidates
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