Back
Starred

Starred

The Recruitment Analytics Platform for TA Teams

Starred is a recruitment analytics platform that turns candidate, recruiter, and hiring manager feedback into actionable insights. It helps Talent Acquisition teams measure and improve Candidate Experience, Hiring Manager Satisfaction, and Quality of Hire with AI-driven comment analysis, built-in benchmarks, and seamless ATS integrations.

Employee Experiencesaas
Website LinkedIn Support

Use Case

Starred helps organizations hiring at scale systematically measure and improve the hiring experience. Teams automate candidate, hiring manager, recruiter, and new-hire feedback collection directly from their ATS, then use dashboards, benchmarks, and AI-powered comment analysis to identify drivers of NPS and prioritize improvements. Common outcomes include increasing offer-acceptance rates, improving talent attraction quality, boosting onboarding outcomes and employee engagement, optimizing Quality of Hire (QoH), and strengthening employer brand. Role-based insights and real-time ‘firefight’ alerts enable local action while maintaining global visibility and benchmarking across departments, regions, and company size peers. Specialized modules extend measurement to internal hiring team collaboration, onboarding experience, employee engagement, and DEI analysis (Greenhouse-only for US).

Starred Quality of Hire helps Talent Acquisition and HR teams understand how well new hires fit the role and company, and how they perform after joining. It addresses misalignment between new hire expectations and hiring manager expectations by collecting feedback from both parties around 6 months after start. Teams use it to quantify Quality of Hire with a standardized score, uncover trends and issues across roles, departments, or locations, reduce early attrition and cost per hire, and inform process improvements. It supports executive reporting and stakeholder alignment by delivering scheduled, role-based dashboards and shareable insights that show whether hiring decisions are meeting targets and cultural fit.

Target Audience

Talent Acquisition, Recruiting Operations, HR/People teams, and Employer Branding leaders at mid-market and enterprise organizations hiring at scale across industries. Best suited for companies with an ATS seeking automated stakeholder feedback, benchmarking, and governance-grade security/compliance. DEI module specifically targets US companies using Greenhouse.

Data Residency

eude

Target Segments

Enterprise

Source URLs

  • https://www.starred.com/about
  • https://www.starred.com/?utm_source=openai
  • https://www.starred.com/integrations?utm_source=openai
  • https://www.starred.com/features?utm_source=openai
  • https://www.starred.com/price-request?utm_source=openai
  • https://www.starred.com/price-request-pro?utm_source=openai
  • https://support.starred.com/docs/data-api?utm_source=openai
  • https://www.starred.com/pricing
  • https://support.starred.com/docs/api-tokens-copy?utm_source=openai
  • https://support.starred.com/docs/zapier?utm_source=openai

benchmarks

Starred Index for Internal and External Benchmarks

ai_analytics

AI-Based Sentiment and Topic Analysis of Comments

prioritization

The Priority Matrix evaluates initiatives based on their impact on the candidate experience

dei_reporting

Filters/segments support DEI analyses

quality_of_hire

Reports/Insights on Quality of Hire

response_rates

Design for High Response Rates

outcomes_examples

  • 30% Reduktion der Interview-Zeit
  • Umsatzschutz über cNPS-Verbesserungen

privacy

Optional anonymous responses; GDPR- and CCPA-compliant

product_origin

Platform formed by the merger of Starred and Talenthub centralizes candidate-centric analytics

security_transport

API traffic is transmitted exclusively via HTTPS using TLS 1.1/1.2 (according to the documentation)