Your hiring data, ready for the meeting you forgot about.
Live dashboards, pre-built reports, and a custom chart builder — all generated from data the system already collected. No exports. No spreadsheets. No asking the analytics team. Chosen turns every click, stage change, and hire into insight you can present in seconds.
You shouldn't need a BI tool to answer 'how's hiring going?'
Your VP wants the pipeline funnel. Your hiring manager wants to know which source is working. Your board wants time-to-hire. Every time, it's the same drill: export CSV, open Excel, pivot table, build chart, email it, realize it's already stale. Chosen's analytics are live, pre-built, and always current — because they're generated from the same data that powers your pipeline.
Every metric leadership asks about.
Overview KPIs
Candidates added, applications received, interviews scheduled, offers made, hires closed, average match score, offer acceptance rate, hire rate. Period-over-period comparison.
Pipeline funnel
Visual funnel from top to hired. Conversion rates between every stage. Slice by job, source, or recruiter to find where drop-offs are happening.
Source effectiveness
Every channel broken down by candidates added, candidates past screening, offers, hires, and pass-through rate. Answer: which source gives us the most hires per dollar?
Match score distribution
Histogram of scores across the pipeline. Score vs. outcome analysis: are higher-scored candidates actually getting hired? This validates the AI scoring itself.
Time in stage
Average and median days candidates spend in each stage. Drill by job or recruiter. Find the specific stage that's adding two weeks to your process.
Time to hire
Average and median days from application to offer and hire. Per-job, per-source, per-department. The headline metric your board cares about.
Interviewer calibration
How each interviewer's feedback scores correlate with actual outcomes. Who's consistently too harsh, too lenient, or well-calibrated.
Pipeline coverage
For every open job, how many qualified candidates (past screening) are in the pipeline. Early-warning signal for under-sourced roles.
Recruiter throughput
Per-recruiter metrics — candidates added, screens completed, stages advanced, hires closed. See who's overloaded and who has bandwidth.
Build any chart you can imagine in two minutes.
Pick a dimension (stage, source, job, department, recruiter, custom property, date). Pick a metric (count, average, conversion rate). Build charts like "average match score per source," "hires per month per department," or "interview-to-offer rate by recruiter." Every custom property your org has defined is available as a dimension. Save charts. Export as CSV.
Stop coordinating. Start recruiting.
Book a 20-minute demo and see what happens when AI agents handle the logistics.