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AI that assesses, schedules and interviews every candidate, the way your best recruiter would. You meet only the ones worth your time.

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Tests / Backend Engineer, hiring assessment / Sneha Menon

Sneha Menon

Backend Engineer

Finished

87

OVERALL SCORE

87 / 100

Strong result

PERCENTILE

94th

Rank 13 of 214 candidates

PROCTORING COVERAGE

Webcam100%
Screen100%
Phone97%

SESSION

Invited
12 Sep, 10:04 am
Started
14 Sep, 7:30 pm
Finished
14 Sep, 8:34 pm
Decision pending.
AI insight · TalentDecrypt AI RecommendedTop 6% of 214 candidates · clean integrity record

Sneha scored 87 and outperformed 94% of 214 candidates, with near-perfect results in API design and SQL and full marks on both coding problems, finishing 11 minutes early. System design is her relative growth area. No integrity flags across webcam, screen and phone.

Strong in API design & SQLBoth coding problems solvedFinished 11 min earlyNo integrity flags

OVERALL

87/100

+26 vs cohort

ACCURACY

91%

11 of 12 correct

TIME USED

64/75 min

Finished 11 min early

INTEGRITY

Clean

0 flags, 3 feeds

Skill analysis

Sneha Cohort average

More on Candidate Scorecards

What it does

Four AI agents. One boss. You.

From job description to final scorecard, your AI agents handle the work.

AI test generation

Watch AI build a test from a job description

Choose a role and watch the Test Agent read the job description, find the skills and write the questions. Nothing goes to candidates until you approve it.

Test Agent · building a test for Design Verification Engineer

✓

Job description

Read
Upload PDFPaste text
PDFDV_Engineer_JD.pdf2 pages

We are hiring a verification engineer to build UVM testbenches for our PCIe subsystem. You will write SystemVerilog assertions, debug failures in waveforms and automate regressions in Python. You will work with RTL designers to close coverage before tape-out, and review testbench architecture for new blocks.

5 skills found

✓

Skills

Approved
  • UVM30%

    “UVM testbenches”

  • Assertions (SVA)25%

    “SystemVerilog assertions”

  • Waveform debugging20%

    “debug failures in waveforms”

  • Python automation15%

    “automate regressions in Python”

  • Testbench architecture10%

    “testbench architecture”

+ Add or remove a skill

✓

Blueprint

Approved

18

Questions

75

Minutes

77

Marks

  • UVM & SystemVerilogMCQMedium×10
  • Assertions (SVA)Subjective· AI-evaluatedHard×2
  • Waveform debuggingMCAMedium×4
  • Python automationCodingMedium×1
  • Testbench architectureDiagramMedium×1
✓

Questions

Ready for review
  • MCQMedium✓ Quality checked

    Which UVM phase builds the component hierarchy, and does it run top-down or bottom-up?

  • SubjectiveHard✓ Quality checked

    Write an SVA property: every req is followed by ack within 1 to 4 clock cycles.

  • CodingMedium✓ Quality checked

    Parse a regression log in Python and list each failing test with its seed.

3 of 18 shown · regenerate any question you don’t like

Test ready for your review18 questions · 75 min · 77 marks

Done. 18 questions are ready for your review

Test Agent · building a test for Design Verification Engineer

✓

Job description

5 skills found
Upload PDFPaste text
PDFDV_Engineer_JD.pdf2 pages

We are hiring a verification engineer to build UVM testbenches for our PCIe subsystem. You will write SystemVerilog assertions, debug failures in waveforms and automate regressions in Python. You will work with RTL designers to close coverage before tape-out, and review testbench architecture for new blocks.

5 skills found

✓

Skills

5 skills · Approved
  • UVM30%

    “UVM testbenches”

  • Assertions (SVA)25%

    “SystemVerilog assertions”

  • Waveform debugging20%

    “debug failures in waveforms”

  • Python automation15%

    “automate regressions in Python”

  • Testbench architecture10%

    “testbench architecture”

+ Add or remove a skill

✓

Blueprint

18 Qs · 75 min · Approved

18

Questions

75

Minutes

77

Marks

  • UVM & SystemVerilogMCQMedium×10
  • Assertions (SVA)Subjective· AI-evaluatedHard×2
  • Waveform debuggingMCAMedium×4
  • Python automationCodingMedium×1
  • Testbench architectureDiagramMedium×1
✓

Questions

Ready for review
  • MCQMedium✓ Quality checked

    Which UVM phase builds the component hierarchy, and does it run top-down or bottom-up?

  • SubjectiveHard✓ Quality checked

    Write an SVA property: every req is followed by ack within 1 to 4 clock cycles.

  • CodingMedium✓ Quality checked

    Parse a regression log in Python and list each failing test with its seed.

3 of 18 shown · regenerate any question you don’t like

Test ready for your review18 questions · 75 min · 77 marks

Done. 18 questions are ready for your review

Assessments

Test the skills the job actually needs.

Whatever the role runs on — code, silicon, a support queue or a sales call — the test is built from the work itself.

Code & build

Not just a coding puzzle. Candidates write and run real code in the browser, query a real database, and are scored against test cases you set.

  • Data structures & algorithms
  • Full-stack and multi-file projects
  • SQL on a live database
  • Debugging and code correction
  • Scored on what works, and how they got there

Front-end Engineer · question 4 of 18

Built from the job description

34:20Submit test
Coding · 10 languages15 marks

Build a searchable product catalogue across three files. It must filter as the user types.

Explorer

src

components

ProductCard.tsx

SearchBar.tsx

hooks

useDebounce.ts

Catalog.tsx

types.ts

Catalog.tsxSearchBar.tsx✓ 6 passed

1import { useMemo, useState } from "react";

2import { SearchBar } from "./components/SearchBar";

3import { useDebounce } from "./hooks/useDebounce";

4

5export default function Catalog() {

6 const [query, setQuery] = useState("");

7 const [category, setCategory] = useState("All");

8 const search = useDebounce(query, 250);

9

10 // filter once per change, not on every render

11 const visible = useMemo(() => {

12 const term = search.trim().toLowerCase();

13 return PRODUCTS.filter((p) =>

SavedReact 18Ln 13src/Catalog.tsx

Live preview running

Products

ariaAllAudioWearables

1 result

Aria Wireless HeadphonesAudio$129Pulse Smart WatchWearables$199

Tests6 / 6Console15 / 15 marksre-ran after fix · 1.2s

renders every product as a card8ms3/3

filters by name, case-insensitively12ms3/3

debounces the search by 250 ms31ms2/2

category chips filter the grid9ms3/3

result count matches the cards6ms2/2

empty state when nothing matches5ms2/2

Integrity: cleanno flags

AI interview

AI that interviews like your best recruiter.

It listens, asks the follow-up your best recruiter would, and scores every answer.

Backend Engineer · first-round interview

  1. ✓Plan
  2. ✓Interview
  3. 3Verdict
  4. 4Evidence
Recording
Arun ShettyBackend Engineer · AI interview · 24 minCompleted

Recommended: proceed to a live round

Strong system-design depth and hands-on debugging; communication is clear. Probe stakeholder trade-offs live before a final decision.

Strong: system designStrong: debuggingProbe: stakeholder trade-offs

Interview recording24:00

04:12 Strongest answer17:40 Worth probing

✓ AdvanceHold for reviewDo not proceed

A recommendation — you decide. The AI never rejects a candidate.

Strength profile

five dimensions, against the role benchmark

System design8.6 ▴0.8Debugging8.0 ▴1.2Stakeholder5.8 ▾0.6Communication7.5 ▴0.1Depth under follow-up8.4 ▴1.4

Candidate Role benchmark below it

Ranks inTop 22%of 46Topics3 of 488% coveredHe talked62%the AI asked
  • A question plan you approve first
  • Follow-ups that react to each answer
  • Candidates join from a link, at any hour
  • Recording, transcript and scored competencies

More on AI Interviewer

Proctoring · CheqMate AI + TriNetra

Everything other platforms catch.
Plus what they can’t.

Candidates now bring AI to online tests. TalentDecrypt stops 100+ AI assistants on their computer and puts a second camera on the room, so a score means what it says.

What each kind of proctoring catches during a test
What happened during the testOther platformsTalentDecrypt
What every platform catches
Switching tabs or windowsOthersCaughtTalentDecryptCaught
Stepping away from the cameraOthersCaughtTalentDecryptCaught
What only TalentDecrypt catches
AI assistants like Cluely and Interview Coder, even the “undetectable” onesOthersNot caughtTalentDecryptCaught
A second screen or an extra deviceOthersNot caughtTalentDecryptCaught
Copied or shared answersOthersNot caughtTalentDecryptCaught
Help in the room, or someone else sitting the testOthersNot caughtTalentDecryptCaught
TriNetra

A second set of eyes on the room.

The candidate scans a QR code and their own phone becomes a second camera, placed to one side. It sees the desk, the laptop, their hands and whoever else is in the room — everything a laptop webcam points away from.

Laptop webcam: the candidate alone at the laptop, facing the screen.Face detected
Laptop webcam
TriNetra phone camera, from the side: a second person is standing beside the candidate and pointing at the screen, out of the webcam’s view.Second person on camera
TriNetra · phone camera

Proof behind every flag — your team reviews it and decides. Never a black-box verdict.

See everything CheqMate AI catches →
The decision

It all lands on one scorecard.

Skills, spoken answers, the interview and the integrity record — on one page.

Tests / Backend Engineer, hiring assessment / Sneha Menon

Sneha Menon

Backend Engineer

Finished

87

OVERALL SCORE

87 / 100

Strong result

PERCENTILE

94th

Rank 13 of 214 candidates

PROCTORING COVERAGE

Webcam100%
Screen100%
Phone97%

SESSION

Invited
12 Sep, 10:04 am
Started
14 Sep, 7:30 pm
Finished
14 Sep, 8:34 pm
Decision pending.
AI insight · TalentDecrypt AI RecommendedTop 6% of 214 candidates · clean integrity record

Sneha scored 87 and outperformed 94% of 214 candidates, with near-perfect results in API design and SQL and full marks on both coding problems, finishing 11 minutes early. System design is her relative growth area. No integrity flags across webcam, screen and phone.

Strong in API design & SQLBoth coding problems solvedFinished 11 min earlyNo integrity flags

OVERALL

87/100

+26 vs cohort

ACCURACY

91%

11 of 12 correct

TIME USED

64/75 min

Finished 11 min early

INTEGRITY

Clean

0 flags, 3 feeds

Skill analysis

Sneha Cohort average

  • Every score links to the answer behind it
  • An integrity record with the proof behind every flag
  • A plain-English AI summary of every candidate
  • How they communicate, at a glance

More on Candidate Scorecards

Arun applied on Tuesday. You decided on Thursday.

Seven worth interviewing, ranked on what they can actually do. You read seven scorecards, not 214 CVs.

7worth interviewing

Your shortlist

7 of 214 · ranked

  • 1Arun ShettyHired87
  • 2Dev Sharma84
  • 3Ananya Bose81

+4 more scored above 75, each with the evidence behind it

  1. AppliedTue
  2. AssessedTue
  3. InterviewedWed
  4. DecidedThu

Illustrative example. Your timeline depends on how quickly candidates take the test.

Book a demo
Why TalentDecrypt

AI you can hand your hiring to

01

Every score comes with proof

Recordings, flags and answers sit behind every result, so a high score is one you can stand behind.

02

One platform, not four tools

Assessments, interviews, proctoring and reports in one place. Nothing to stitch together.

03

Ready for every role

From software engineers to chip designers to front-desk staff, with tests that fit each one.

04

You stay in charge

AI recommends. You approve the test, override any score and make the hire.

Industries

Built for any team that hires

Ready-made setups for the industries below — and the same tests, interviews and scorecards work for any role.

Works just as well for: Manufacturing · Warehousing & logistics · Banking & finance · Retail · Job boards

Hiring for something else? Talk to us
FAQ

Questions hiring teams ask us

Software and data roles with coding and SQL questions, chip-design and embedded roles with VLSI and diagram questions, and support, sales and hospitality roles with spoken-English and scenario questions. You can mix question types in one test.

See it with one of your own roles

Tell us a role you are hiring for. We will build the test, run a candidate through it and walk you through the scorecard that comes out.