Products

Everything between a job description and a hiring decision

Every part feeds the same scorecard. Use all of it, or start with the piece you need most.

01The Test Agent · AI Test Generation

Turn a job description into a test

Hand the Test Agent a job description. It finds the skills the role really needs, proposes the shape of the test, and writes the questions — and nothing reaches a candidate until you have approved it.

A PDF job description, or a few lines of requirements
A complete draft test, ready to review
Regenerate any single question with a nudge
Nothing goes out until you approve it

Assessment blueprint

AI proposed

✓Describe role
✓Review skills
3Blueprint
4Generate

ROLE

Design Verification Engineer

from DV_Engineer_JD.pdf · 8 skills found

QUESTIONS

MINUTES

142

TOTAL MARKS

60%

CUT-OFF

SKILLS

Difficulty

Easy15

Medium50

Hard35

Question type mix

36 questions

MCQsingle answer2040 marks
MCAmultiple answer824 marks
SubjectiveAI-evaluated648 marks
CodingPython scripting230 marks

Skill weightage

re-proposing…

SKILLWEIGHTQS

SystemVerilog20%7
UVM methodology26%9
Coverage & assertions (SVA)14%5
Digital design fundamentals10%4
Constrained-random verification10%4
Protocols (AXI, APB, PCIe)8%3
Debug & waveform analysis7%2
Scripting (Python, Tcl)5%2

harder, more UVM questions

How it’s set up

1
Drop in the job description
PDF or plain text.
2
Approve the plan
Nothing is written until you agree.
3
Review and send
Swap any question with one instruction.

How it’s set up

1
Drop in the job description
PDF or plain text.
2
Approve the plan
Nothing is written until you agree.
3
Review and send
Swap any question with one instruction.

02The Assessment Agent · Skill Assessments

Real code, real queries, real diagrams

Build one assessment from every question type the role needs. Candidates write and run real code, query a live database, draw system diagrams, and explain their reasoning in their own words.

Coding in 10 languages, run against real test cases
SQL against a real MySQL database
Diagrams, written answers, MCQ and more
AI evaluation you can override
Your own question bank, ready to reuse

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";

5export default function Catalog() {

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

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

8 const search = useDebounce(query, 250);

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

How it’s set up

1
Pick or write the questions
From your own bank, or new ones in any format.
2
Set the rules
Length, weighting and how closely it’s watched.
3
Invite candidates
One or a thousand, each with their own link.

How it’s set up

1
Pick or write the questions
From your own bank, or new ones in any format.
2
Set the rules
Length, weighting and how closely it’s watched.
3
Invite candidates
One or a thousand, each with their own link.

03Spoken answers · SpeakPro & EnglishPro

Hear how they communicate before the interview

Hear how candidates handle a customer before anyone picks up the phone. SpeakPro scores spoken answers on what matters for client-facing roles, and EnglishPro screens English proficiency on CEFR-informed rubrics. You get the recording, the transcript and a score you can adjust.

EnglishPro: read aloud, repeat, listen and answer
Scenarios for support, sales and more
Scored by dimension, with the recording
The same standard for every applicant

Guest recovery: the lost booking

SpeakProOpen response✦ AI-evaluated

8.4 / 10 marks

PROMPTA guest arrives at 11 pm after a long flight. Their booking can’t be found and the hotel is nearly full. Respond as you would at the front desk.

Candidate video1.25×

“Whatever happens, you will have a room tonight.”

0:50 / 1:24

8.4

STRONG

Calm, empathetic recovery with a concrete guarantee. A few fillers while she searches for the next step.

PACE

142wpm

Natural

FILLERS

3.1%

“um”, “so”

PAUSES

None over 2s

CLARITY

96%

Very clear

Dimension analysis

overall 4.3 / 5

Task fulfilment4/5

Empathy5/5

Professional tone5/5

Grammar & vocabulary4/5

Fluency3/5

Intelligibility5/5

Transcript & evidence

stood out watch for

✦ TalentDecrypt Communication AI · the recruiter can adjust the score

How it’s set up

1
Pick the task
A real customer scenario, or EnglishPro’s read-aloud, repeat and listening items.
2
Audio checked first
A bad headset shows up before the test does.
3
Review and adjust
Hear the answer and change any score you disagree with.

How it’s set up

1
Pick the task
A real customer scenario, or EnglishPro’s read-aloud, repeat and listening items.
2
Audio checked first
A bad headset shows up before the test does.
3
Review and adjust
Hear the answer and change any score you disagree with.

04The AI Interviewer · AI Interviewer

A first-round interview for every candidate

The AI Interviewer runs a structured voice interview from a question plan you approve. It asks follow-up questions based on what the candidate said, and produces a transcript, a recording and scored competencies.

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

Backend Engineer · first-round interview

✓Plan
✓Interview
3Verdict
4Evidence

Recording

Who are you hiring?

Backend engineer, payments, 5 years

30 minutesVoiceFour topicsAdapts to answers

The plan is yours before anyone is invited. Change a topic, push one deeper, or drop it.

✓ Plan approved by you

Interview plan drafted from the role

Background & ownershipbrief
System designgo deep
Debugging under pressurego deep
Working with othersbrief

Weighted to the role · edit, reorder or drop any topic

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

Candidate Role benchmark below it

Ranks inTop 22%of 46Topics3 of 488% coveredHe talked62%the AI asked

Evidence by competencybar = candidate · ◆ = role average

System design & scalabilityFull coverage8.6

04:12“I’d switch the nightly batch to an event-driven matcher keyed on settlement id, so a replay can’t double-count.”

Debugging & production ownershipFull coverage8.0

11:20“We double-charged about 200 customers. I rolled it back in ten minutes, then reconciled the duplicates before support got the first call.”

Stakeholder & cross-team trade-offsPartial5.8

17:40“You’d sit down with them and find the middle ground, I suppose.”

Every score links to the moment it came from · click a quote to hear it

Strengths

Designs for correctness under load — idempotency, watermarks, back-pressure

Owns production issues end to end

Probe further

Stakeholder trade-offs stayed abstract — no concrete example of navigating conflict.

Take into the human round

Tell me about a time the payments team wanted something that conflicted with your plan. What did you give up?

Walk me through a decision where you were overruled — how did you handle it?

Copy to notesRecording · transcript · integrity attached

How it’s set up

1
Describe the role
The interview plan drafts itself, grouped by the skills you want to hear about.
2
Make it yours
The interviewer sticks to your plan and digs deeper where answers call for it.
3
Send the link
Candidates interview when it suits them; results land on their scorecard.

How it’s set up

1
Describe the role
The interview plan drafts itself, grouped by the skills you want to hear about.
2
Make it yours
The interviewer sticks to your plan and digs deeper where answers call for it.
3
Send the link
Candidates interview when it suits them; results land on their scorecard.

05CheqMate AI · CheqMate AI

See what ordinary proctoring misses

CheqMate AI protects every assessment from AI assistants, second screens and outside help, and TriNetra puts a second camera on the room. Every flag comes with proof your team can review.

AI assistants stopped, even the “undetectable” ones
Tab switching and leaving the camera flagged
TriNetra: the candidate’s phone as a second camera on the room
A live wall with chat, and ID checked on a call before the test starts
Proof behind every flag

talentdecrypt.com/proctoring

Rohan Mehta

Backend Engineer test · question 12 of 18 · 00:49:51

ID verified by greeterCheqMate AI on

Face detected

Webcam

Someone entered the room and stood beside the desk. Only the phone camera could see them.

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. — 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. — TriNetra · phone camera

One timeline. Every signal.

Your team sees what happened and makes the call.

00:12:40Switched away from the testScreenEvidence →

00:27:08Stepped away from the cameraWebcamEvidence →

00:41:19Second person seen beside the deskTriNetraEvidence →

00:52:44AI assistant blockedCheqMate AIEvidence →

Proof behind every flag

How it’s set up

1
Choose the level for this test
Webcam and screen as standard; add CheqMate AI, TriNetra or an ID check when the stakes are higher.
2
ID checked at the door
A person checks ID and the room on a live call before the test opens.
3
Watch live, or review afterwards
Every feed on one wall, with chat to any candidate.

How it’s set up

1
Choose the level for this test
Webcam and screen as standard; add CheqMate AI, TriNetra or an ID check when the stakes are higher.
2
ID checked at the door
A person checks ID and the room on a live call before the test opens.
3
Watch live, or review afterwards
Every feed on one wall, with chat to any candidate.

06The Scorecard Agent · Candidate Scorecards

One scorecard, with the evidence behind every number

Each candidate gets one scorecard: scores by skill, the integrity record, spoken-answer evaluation and the interview. An AI summary explains the verdict in plain language, and every score links to the answer it came from.

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

Tests / Backend Engineer, hiring assessment / Sneha Menon

Sneha Menon

Backend Engineer

Finished

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

How it’s set up

1
Nothing to chase
Every result lands on the scorecard by itself.
2
Open any number
Click a score to see the answer behind it.
3
Adjust, then decide
Change any score, then make the call.

How it’s set up

1
Nothing to chase
Every result lands on the scorecard by itself.
2
Open any number
Click a score to see the answer behind it.
3
Adjust, then decide
Change any score, then make the call.

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.

Book a demo info@talentdecrypt.com