By outcome · Interview with context

Go into every interview with real context.

Get a clearer view of each candidate beyond what is in the CV. Candidate Intelligence brings together relevant professional information so you know what to validate, what to explore and what to ask.

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The question you might be asking yourself

"When CVs are increasingly AI-polished, how do I see what really differentiates a candidate?"

CVs are becoming harder to distinguish on their own. Candidate Intelligence adds sourced professional context so you can understand what stands out, what needs validation and what is worth exploring in the interview.

What interviewing with context looks like

More context.
Better prepared interviews.

Candidate Intelligence gives you a deeper professional picture before the conversation starts, helping you focus the interview on what matters most.

Validate key information

Cross-check important professional information and see where the available evidence adds support or context.

Identify what to explore

Surface relevant signals, gaps and areas worth validating so you can prepare more focused questions.

Prepare with the same context

Share a structured candidate view with the people involved in the interview so everyone starts from the same information.

Why the CV is not the whole picture

Important context can sit beyond the CV.

CVs are useful, but they are designed to summarise. Relevant professional information, recent work and areas worth validating may sit elsewhere.

What the CV says

A polished summary of experience, skills and achievements, based on what the candidate chose to include.

What sits around it

Published work, company context, professional activity and other relevant information can add a broader picture.

What deserves a closer look

Gaps, unclear claims or unexpected signals can become focused areas to explore during the interview.

What you would otherwise research

Candidate Intelligence brings together the research that would normally happen across multiple tabs and sources.

See the difference

The CV is self-reported.
Candidate Intelligence adds the context around it.

Start with the candidate's CV, then add sourced professional context that helps you prepare a more focused interview.

The Candidate's CV

Alex Chen

Senior Product Manager

Strong profile

Professional Experience

Jul 2024 – Present

Senior Product Manager

Nova Labs

Jan 2020 – Dec 2022

Product Manager

Orbit Systems

2017 – 2020

Associate Product Manager

Northstar Digital

Education

2013 – 2017

MSc in Management

University of Manchester

Key Skills

Product StrategyGo-to-marketCross-functional Leadership

A strong profile on paper. The CV presents Alex's experience clearly, but it leaves an 18 month gap unexplained and does not show the additional professional context found elsewhere.

With Candidate Intelligence

Alex Chen

Senior Product Manager

Context added

Education

Supported

MSc in Management, University of Manchester

Our findings

The degree and university are supported by available professional and institutional sources.

Current role at Nova Labs

Needs validation

Senior Product Manager, Jul 2024 – Present

Our findings

The role is supported, but Alex's ownership of the product launch is unclear.

Career gap identified

Worth exploring

Detected from CV dates: Orbit Systems ended Dec 2022 · Nova Labs started Jul 2024

Our findings

The timeline shows an 18 month period with no listed role. This is easy to miss when scanning the CV and is worth exploring in the interview.

Unexpected professional insight

New insight

Not mentioned in the CV

Our findings

Alex is reported as co-founder of a side project that won a startup award, reached 40,000+ users and was later acquired. It is absent from the CV.

Suggested interview questions

What were you focused on during the 18 month gap?

What did you personally own in the Nova Labs product launch?

What was your role in the side project that reached 40,000+ users?

What changed? Candidate Intelligence adds sourced context to the CV and turns unclear or unexpected signals into focused interview questions.

What you can do with better context

Turn more information into a better interview.

Candidate Intelligence is most useful when the goal is to know what deserves attention before the conversation starts.

Validate what matters

Focus on the claims, signals and professional information that are most relevant to the role.

Ask better questions

Turn gaps, inconsistencies and unexpected insights into carefully curated interview questions.

Share a clearer picture

Give the people involved in the interview the same sourced context before they meet the candidate.

Where To Start

Not sure where to start?

Generate Candidate Intelligence before the interview and bring the relevant context into the conversation.

1

Open

Start with a candidate

Open a professional profile, CV or candidate record in the workflow you already use.

2

Generate

Run Candidate Intelligence

Candidate Intelligence brings together relevant professional information and creates a structured report.

3

Interview

Go in with context

Review the signals, areas to validate and carefully curated questions before the conversation starts.

Powered by Candidate Intelligence

Bring deeper candidate context into every interview.

Candidate Intelligence turns relevant professional information into sourced signals, areas to validate and carefully curated questions for the interview.

Chrome extension

Works wherever you review candidates.

ATS integration

Returns results inside your existing workflow.

Try It For Free

Know what to explore before the conversation starts.

Use the free Chrome extension to generate your first Candidate Intelligence report, or book a demo to see how it can fit into your existing workflow.