Stage 1

Virtual Screening: does this candidate deserve an in-person interview?

A short structured remote call. Every question is editable. The AI supports the recruiter with follow-ups and evidence tagging — it never rejects on its own.

Optional Intro Script

Explain the process before you start

A default script the recruiter can read, edit, or skip. It explains every step so the candidate knows what to expect.

“Thanks for making time today. Our process has four steps: a short screening conversation like this one, a first in-person interview, additional interviews if the role requires it, and a final recommendation I'll share with the employer. My job is to represent your experience clearly and fairly. I'll take structured notes and may ask follow-up questions if anything is worth exploring further.”

EditableSkippablePer-recruiter template

Default Questions

Four questions, each with AI evaluation criteria

Recruiters can add, remove, or reword questions. The AI evaluates the response — not the recruiter.

Q1

Career Goals

What are your long-term career goals?

The AI evaluates

  • Is the answer thoughtful and specific?
  • Is it consistent with the role being interviewed for?
  • Does the candidate appear intentional about their career?
  • Does the answer show planning rather than a generic script?

The AI does not

  • Penalize ambition or 'big' goals
  • Reward rehearsed phrasing without substance
Suggested follow-ups when the answer lacks depth
  • What experiences helped shape that goal?
  • What attracts you specifically to this position?
Q2

Professional Strengths

What are you really good at professionally?

The AI evaluates

  • Is evidence or a concrete example provided?
  • Are measurable accomplishments included?
  • Does the candidate describe specific situations?
  • Are the strengths relevant to the role?

The AI does not

  • Reward confidence without supporting examples
Suggested follow-ups when the answer lacks depth
  • Could you walk me through a recent example?
  • How did you measure the outcome?

Note: If no example is offered, the AI will automatically request one.

Q3

Professional Weaknesses

What are you not good at or not interested in doing professionally?

The AI evaluates

  • Constructive answers: honest limitations or skills being improved
  • Areas requiring development mentioned openly

The AI does not

  • Automatically penalize cliché answers like 'I work too hard' or 'I'm a perfectionist'
Suggested follow-ups when the answer lacks depth
  • What specifically are you working on to improve?
  • What has helped you make progress so far?
  • Where would a stronger teammate complement you?

Note: Cliché answers are marked as 'Limited self-reflection demonstrated' — never as a rejection.

Q4

Self-Evaluation

What do you think your previous manager would rate your performance from 1 to 10, and why?

The AI evaluates

  • Self-awareness
  • Supporting evidence for the number chosen
  • Ownership of results
  • Consistency with prior answers

The AI does not

  • Reject a candidate because of the specific number they gave
Suggested follow-ups when the answer lacks depth
  • What would push that score one point higher?
  • What would your manager say went less well?

Note: Role-specific thresholds are configurable per recruiter (see below).

Configurable Thresholds

Self-evaluation thresholds vary by role

Recruiters set preferred self-evaluation scores per role. The number itself never disqualifies a candidate — it only triggers an alert for the recruiter to explore further.

Sales

8+

High self-belief tends to correlate with performance.

Editable per recruiter

Operations

7+

Steadier self-assessment; ownership matters more than bravado.

Editable per recruiter

Engineering

7+

Adjust for humility norms in technical roles.

Editable per recruiter

Product Philosophy

RecruiterLens AI is not designed to replace recruiter judgment. It is designed to make hiring decisions more structured, evidence-based, explainable, and consistent.