The short answer
An automated conversation can ask about experience, education, and salary expectations in a structured way. How useful it is depends on clear role requirements, careful assessment, and personal follow-up.
A form asks. A conversation probes.
An application form asks for facts. That works, as long as candidates understand the question and fill it in honestly. But salary expectation makes people hesitate. They estimate what sounds acceptable, not what they actually expect. On experience, they choose the interpretation that suits them best.
A conversational format gives more room. If someone states five years of experience with CNC milling, a follow-up question can contextualise it: which machines, which production environment, which tolerances. That gives a different picture from a completed field.
Red Rocket's AI recruiter conducts those conversations via WhatsApp, day and night, outside office hours too. It asks questions based on the organisational context and job requirements you agreed in advance. The candidate responds at their own convenience. In the Cockpit, you receive the profile, the full conversation log, a CV where provided, a score and a set of recommended questions for the follow-up conversation. That follow-up conversation is yours to conduct.
Three criteria: concrete considerations
Experience is the most straightforward to probe. Establish in advance what minimum background you need: sector-specific, technical, or a combination. The nuance lies in what you accept as equivalent. Someone who spent ten years in automotive and is moving into installation engineering has a different background from someone with ten years' direct experience in that field. That judgement is yours, based on the conversation log.
Education is more concrete, but can mislead if you filter on it too rigidly. An MBO 4 qualification in Electrical Engineering and an HBO degree in Technical Computer Science can both be relevant for the same role – or both insufficient. State the education requirement broadly enough that you do not rule out on paper candidates who would work in practice.
Salary expectation is the most sensitive of the three. A conversation makes it easier to discuss than an open field on a form. Use salary expectation as an indicator, not a hard threshold. Someone above your budget may also have flexibility. And someone who estimates their expectation low sometimes does so because they do not know the market.
A hypothetical example
Say you are looking for a service engineer to maintain installations at client sites. Your requirements: MBO level, at least three years of field experience, a category B driving licence and a salary expectation within your range. A candidate comes through a social post – someone already in work, but open to something new. The AI recruiter starts a conversation via WhatsApp, probing previous roles, the type of installations, the driving licence and the expectation. You receive the report, the score against the agreed criteria and recommended questions. Then you take the conversation forward.
A practical step-by-step
- State minimum requirements, not maximum ones. What does someone genuinely need to be able to do to start?
- Give salary expectation a range, not an absolute limit. The AI recruiter can probe further if a candidate falls outside the margin.
- Record which qualification variants you accept. Equivalence exists; if you do not record it, you will qualify inconsistently.
- Read the conversation log yourself, not just the score. The score is a tool. The conversation is the source.
- Conduct the follow-up conversation yourself. Pre-qualification answers factual questions. Whether someone fits your team is for you to decide.
Frequently asked questions
Can the AI recruiter probe further when an answer remains vague?
Yes. The conversation adapts to what the candidate says. If someone gives a job title that covers multiple roles, the system probes further from the organisational context you provided.
What if a candidate declines to state their salary expectation?
Then you see it in the conversation. Whether you consider that a reason not to proceed is for you to decide. The system records the response; the judgement is yours.
Does the AI recruiter also qualify on soft criteria, such as communication style?
The AI recruiter qualifies on what you agreed in advance. Soft criteria are less suited as a hard threshold. What you do see is how someone communicates in the conversation itself. That is information. --- More about what a WhatsApp screening looks like and what you receive as an employer is at /kennis-whatsapp-screening.html.
