Create question banks, invite candidates to AI mock interviews, and review readiness scores before they meet your team or client—so finalists show up sharper and interview loops produce better signal.
Built into a job workspace—so work, context, and outcomes stay connected.
Create structured question sets tied to the job so interview loops stay consistent across stakeholders.
Invite candidates to practice with AI so they enter real interviews more prepared and confident.
Review overall performance scoring and session history to spot strengths and gaps before the loop.
Collect feedback requests and keep interview signal organized in one place.
Common ways teams use interview prep to ship more output with the same headcount.
Practical outcomes that compound across every role—not another standalone tool.
Candidates show up prepared for the role—fewer wasted loops and better signal.
Shared question sets and prep flows reduce ad hoc prep across the team.
Readiness scoring helps you decide who’s truly ready to advance.
Everything happens inside a job workspace—so context doesn’t get lost.
Build role-specific question banks you can reuse across searches.
Send candidates a prep link and schedule mock sessions as needed.
Candidates practice with AI and get structured feedback.
Use readiness reports to guide next steps and reduce interview risk.
You don’t buy isolated features—you buy a unified workflow across the funnel.
Agencies are tired of buying point solutions. Klen is “infinite interns” for recruiting—always-on output that scales with usage when you need more.
Limited hours. Context gets lost. Output depends on one person’s bandwidth.
Runs 24/7 across the funnel. When you need more output, you scale with metered overages instead of hiring.
Compare Klen to placement fees or recruiter salaries—not a $99 ATS add-on—so subscription costs feel trivial relative to outcomes.
Quick answers about interview prep and capacity pricing.