Case study

Maslow

An AI-powered interview intelligence platform for structured, evidence-led hiring.

Industry: HR tech and recruitment
Year: 2026
Platforms: Web and Chrome extension
Engagement: End-to-end product development and launch

Maslow live interview assistant showing a guidance prompt and interview questions

Candidate fit, as of round 1

41%Low confidence

Maslow Match RateConfidence level

Overview

Turning interviews from isolated conversations into structured hiring intelligence.

Maslow helps hiring teams evaluate candidates with more consistency, context and confidence. We engineered a connected platform that structures what happens before, during and after every interview, giving recruiters, interviewers and hiring managers a clearer evidence base for each decision.

7Hiring stages connected end to end

2Product environments: web platform and Chrome extension

4Sources of context behind every live prompt

1Shared evidence base per candidate, across every round

Maslow case studyOverview

The industry problem

Hiring decisions depend on conversations that are hard to compare.

Interviews produce some of the most important information in hiring, but it is rarely captured consistently. Recruiters and hiring managers also can't be experts in every discipline, yet they still have to judge whether an answer shows real depth.

Add more candidates, interviewers and rounds, and teams gather more information without gaining more clarity.

An interviewer speaking with a candidate across a desk

What gets lost between interviewers

Different focus each time
Follow-ups that vary
Notes in different formats
Claims left unchallenged
Context that disappears
Specialist depth hard to judge

Maslow case studyProblem

The challenge

More structure in hiring, without taking the decision away from people.

For the AI to be useful it had to know what the company was hiring for, what had already been covered, what was being said right now, and how all of it related back to the role.

1Role definition

2Interview preparation

3Live conversation

4Candidate assessment

5Reporting

6Cross-round comparison

7Hiring decision

Keep people in charge

Maslow structures the evidence. The hiring team still makes the call.

Stay out of the conversation's way

Help arrives in the moment it is needed, without disrupting the interview.

Maslow case studyChallenge

Our approach

The role requirements became the foundation of the intelligence model.

Instead of starting with generic AI questions, the workflow starts by defining the role. Requirements and competencies are structured and weighted, so every candidate is measured against the same framework.

That framework then carries through the whole hiring journey, linking what the company says it needs to what the interviews actually measure.

Software EngineerWeighted competency areas

Impact and contribution25%

Technical execution20%

Analytical thinking20%

Communication15%

Collaboration15%

Leadership5%

Before

Shapes the agenda and the questions.

During

Gives the AI context for prompts and follow-ups.

After

Structures evidence, strengths, gaps and fit.

Maslow case studyApproach

Solution architecture

One intelligence layer across the whole interview lifecycle.

Two connected environments: the web platform is the system of record, and the extension brings that intelligence into the interview at the moment it's needed.

Web application

Hiring intelligence platform

The central system for companies, roles, candidates, interviews and the context behind every one.

Role requirementsWeighted competenciesCandidatesInterview roundsAgendasInterview historyReportsMatch scoresHiring insights

Shared role, candidate and interview context

Chrome extension

Live interview assistant

Works alongside the video call, so interviewers never have to jump between documents, notes and records.

Role requirementsPlanned agendaCandidate historyLive transcriptReal-time promptsContradiction detection

Maslow case studyArchitecture

Before the interview

Preparation becomes a repeatable process.

Using the role, its competencies and the interview stage, Maslow generates structured agendas and role-specific questions before the call.

Structured agendasTime-boxed topics for every round

Role-aware questionsBuilt from the weighted competencies

Coverage across roundsEach stage knows what it should explore

Role page with competency weights, role details and additional context

Maslow case studyPreparation

During the interview

Context for the interviewer, without leaving the conversation.

The extension combines four kinds of context to surface follow-ups when an answer deserves more depth, and flags claims that may conflict with what the candidate said before. The aim isn't to script the interview. It's to help the interviewer notice what they might otherwise miss.

Role contextWhat the company is actually hiring for

Interview contextThe agenda planned for this round

Candidate contextHistory gathered in earlier stages

Conversation contextWhat is being said, live

Live guidance prompt with interview questions in the Maslow extension

Maslow case studyLive assistant

Google Meet call with the Maslow extension open beside it

Inside the call

Right beside the video, where it's needed.

Timer and coverageElapsed time and progress through the plan

Live guidancePrompts tied to the competency being tested

AgendaTopics, time boxes and question sets to tick off

Maslow case studyLive assistant

Interview report with match rate, confidence, summary and recommended next steps

After the interview

Conversation becomes structured evidence.

A lot of hiring time goes into turning notes and memory into feedback. Maslow produces a consistent report for every round instead.

Summary and signalsWhat the interview did and didn't establish

Strengths and gapsMapped back to the role framework

Next stepsWhat the following round should probe

Maslow case studyReporting

A consistent candidate scoring model

Comparable, without reducing a candidate to one number.

Each round records its own Maslow Match Rate and confidence level. Both stay tied to the round they came from and feed the wider candidate record, so teams see how the assessment developed, not just where it ended.

Round 1

Recruiter screen

Match rate

Confidence

Low

Round 2

Technical interview

Match rate

Confidence

Medium

Round 3

Hiring manager

Match rate

Confidence

High

Candidate record

One traceable view of fit

Overall match and confidence
How each round moved it
Evidence behind every score
Where uncertainty remains

FeedsCandidate profilesInterview reportsInterview historyCross-round analysisRole-level comparisonTop-match identificationRound values are illustrative

Maslow case studyScoring model

Candidate intelligence across rounds

A hiring record that grows with the candidate.

In multi-stage hiring, each person usually sees only part of the candidate. Maslow keeps the rounds connected, so later interviewers know what's already established and where to dig.

A candidate in an interview with a hiring manager

Round 1

Recruiter

Motivation, background and role fit.

Candidate record

Round 2

Specialist

Technical depth, guided by live prompts.

Candidate record

Round 3

Manager

Leadership, ownership and open gaps.

Candidate record

Final

Executive

Decides with every round's evidence in view.

Candidate record

Maslow case studyMulti-round

Hiring manager visibility

Compare finalists on the same terms.

Instead of reading several disconnected feedback documents, decision-makers see every candidate against the same role requirements, with match rate, confidence and decision readiness side by side.

Human judgement stays central. It just has a clearer basis.

Candidate pipeline with match rate, confidence level and decision readiness

Maslow case studyDecision support

Report highlights and strengths labelled by source

Evidence you can trace

Every insight shows where it came from.

Highlights, strengths and gaps are labelled by source, so it's clear what the AI observed, what the interviewer recorded, and where both agree.

MaslowSignals the AI picked up from the conversation

InterviewerThe interviewer's own observations

BothStronger evidence where the two align

Maslow case studyEvidence

Company and recruitment operations

Everything around the interview, in one place.

WorkspaceCompany setup, team access and users
RolesRequirements, weighted competencies, criteria
CandidatesRecords, lifecycle and interview history
InterviewsRounds, agendas and preparation
ReportingMatch rates, confidence, comparisons
PlatformBilling, subscriptions and analytics

Maslow home dashboard with live roles and hiring metrics

Maslow case studyOperations

The business impact

Less friction where unstructured hiring hurts most.

More consistent interviews

Every candidate is assessed against the same role requirements.

Faster preparation

Agendas and role-aware questions replace manual prep.

Less manual reporting

Interviews become structured reports, not post-call note writing.

Better specialist interviews

Live help when assessing areas outside your own expertise.

Clearer comparison

Standardised intelligence across rounds and candidates.

Visible decisions

Managers see the evidence, not just a final recommendation.

Maslow case studyImpact

The outcome

From fragmented feedback to one connected hiring intelligence system.

Role requirementsDefine what needs to be assessed

PreparationCreates consistency before the call

Live assistanceGuides the right areas during it

ReportsPreserve what was learned after

Candidate intelligenceBuilds until the team is ready to decide

Every interview adds to the same evidence base instead of producing another isolated set of notes.

Maslow case studyOutcome

Solution ecosystem

Four capabilities, one hiring workflow.

Hiring dashboard

Web platform

Companies and teams
Roles and competencies
Candidates and rounds
Candidate comparison
Reports
Billing and analytics

Interview preparation

Before the call

Role-aware agendas
Structured interview plans
Competency-based questions
Interview context

Live assistant

Chrome extension

Real-time prompts
Follow-up questions
Contradiction detection
Transcript context
Candidate history
Interview insights

Candidate intelligence

After every round

Maslow Match Rate
Confidence levels
Strengths, gaps and trends
Interview history
Top-match logic
Decision support

Maslow case studyEcosystem

Technology behind the solution

Built for two very different moments.

A full recruitment workspace on the web, and a lightweight assistant that stays fast during a live call. AI works across both, for preparation, real-time help and post-interview reporting.

Web applicationNext.js and JavaScriptHiring workspace and dashboards

BackendNode.js and ExpressRoles, candidates, rounds and reports

AI and intelligenceOpenAIAgendas, live prompts and report generation

InfrastructureAWSHosting, storage and scaling

User environmentsWeb platform and Chrome extensionSystem of record plus live assistant

Maslow case studyTechnology

Maslow is live

Built end to end by JinnByte.

Product development and launch for an interview intelligence platform, from the web workspace to the live Chrome extension.

Productmaslowhq.com Built byjinnbyte.ai

Thank you