You do not need more applicants. You need to know which ones can do the job.
ReechOut interviews every applicant for you with a short AI voice conversation, then returns a ranked shortlist with the evidence behind each score. You spend your time only on the people who actually stand out.
- 90% faster than screening by hand
- 70% lower screening cost
- 1,000+ interviews run
- 1Amara O.Structured thinking92/100
- 2Ben T.Communication clarity88/100
- 3Chen W.Adaptability85/100
I decided to cut the scope rather than miss the date, and I told the client why before they had to ask.
Ownership language9 / 10The resume stopped telling you anything.
Applications per role have multiplied, and most candidates now use AI to write their resumes. Everyone reads as qualified on paper. A resume tells you who is good at describing themselves, not who can do the work. Reading more of them does not fix the signal. It just costs you more time to learn the same nothing.
- Results-driven engineer with a proven track record
- Led cross-functional initiatives end to end
- Passionate about scalable, maintainable systems
- Strong communicator and collaborative team player
- Results-driven engineer with a proven track record
- Led cross-functional initiatives end to end
- Passionate about scalable, maintainable systems
- Strong communicator and collaborative team player
Two different applicants. Same claims, same phrasing.
What the interview evaluates
Every interview is scored on the same six things, and every score comes back with the moment in the conversation that earned it.
Structured thinking
Do they frame the problem before answering? Do they name what they do not yet know?
Communication clarity
Can they explain something complex to someone who does not already understand it, without hiding behind jargon?
Ownership language
"I decided" versus "things moved forward." How they speak about agency predicts how they act.
Adaptability
Given a new constraint mid-interview, do they update their answer or defend the old one?
AI fluency
Do they actually know how to work with AI tools in practice, tested with real scenarios, not slogans?
Problem-solving
Do they surface assumptions and trade-offs, or jump straight to a conclusion?
Every hire makes the next shortlist sharper.
Once someone hired through ReechOut has a couple of months of check-ins behind them, the system can see which interview signals actually predicted how they performed. Not in general, but for your company and your roles. The scoring adjusts. No static assessment can do this, because no static assessment ever finds out what happened after the hire.
- Ownership languagePredicted performance best+12%
- Structured thinkingHeld up across roles+7%
- Communication clarityUnchanged0%
- AI fluencyWeaker predictor than expected−5%
Learned from nine months of check-ins on your own hires, not an industry average.
The interview does not end at the offer.
What the interview learned about a candidate carries straight into performance management. ReechOut already knows how this person thinks and communicates before their first check-in.
See how performance management worksRun your first role free.
Every applicant gets a short AI voice interview, and you get back a ranked shortlist with the evidence behind each score. Spend your time only on the people who actually stand out.