
Analytics-first recruiting platform with built-in candidate experience surveys, AI-powered filtering, and unlimited custom reporting.
Ashby is an all-in-one recruiting platform that combines ATS, scheduling, CRM, and analytics into a single system designed for data-driven hiring teams. Founded in 2018 by Abhik Pramanik and Benjamin Encz, Ashby is headquartered in San Francisco and has grown to serve companies from startups to enterprises. What sets Ashby apart is its analytics-first approach. Every aspect of the hiring funnel is measurable — from sourcing channel effectiveness and interview bottleneck identification to recruiter performance and candidate experience NPS scoring. Teams can build unlimited custom reports and dashboards without SQL knowledge, tracking metrics like time-to-hire by source, hiring velocity by department, quality of hire by channel, and conversion rates at every funnel stage. Ashby's candidate experience features include native candidate experience surveys that can be automatically sent at any hiring stage, candidate-facing status updates for transparent communication, and AI-powered candidate filtering using natural language descriptions. The platform's candidate review system allows hiring managers to score candidates on a 1-4 scale with optional notes, and when enough review data is collected, AI-powered summaries highlight sentiment patterns and suggest next steps. The ATS includes configurable workflows, native video interview capabilities with automatic scheduling and calendar integration, one-click recording, and automatic AI-generated interview summaries. The CRM module supports proactive talent pipeline management with automated nurture sequences. Ashby's scheduling automation handles complex interview logistics including multi-panel interviews, interviewer load balancing, and timezone coordination — reducing the administrative burden that often degrades candidate experience.
Best overall for candidate experience scoring — Ashby's native surveys, AI sentiment analysis, and unlimited analytics make it the most data-driven approach to measuring and improving hiring experience.
Best for data-driven talent teams that want to measure and optimize their AI matching — the analytics feedback loop turns hiring from guesswork into a measurable process.