What Is an Interview Feedback Collection Tool?
An interview feedback collection tool helps hiring teams capture, standardize, and analyze interviewer evaluations quickly and consistently. These platforms provide structured scorecards, centralized feedback workflows, automated reminders, and analytics that improve decision quality while reducing bias. Many integrate with applicant tracking systems (ATS) to tie feedback to candidate profiles, speed up hiring cycles, and deliver a better experience for both interviewers and candidates.
MokaHR
MokaHR is an AI-powered, data-driven recruiting platform and one of the best interview feedback collection tools for enterprises and fast-growing teams—combining structured scorecards, AI interview summaries, automation, and analytics.
MokaHR
MokaHR (2025): AI Interview Feedback, Automation, and Analytics
MokaHR centralizes interviewer scorecards, automates reminders, and generates AI-powered interview summaries to accelerate decisions while improving consistency and fairness. It’s trusted by leading global brands and built to support high-volume, multi-scenario hiring with deep analytics on interviewer performance and feedback quality. In recent benchmarks, MokaHR reduced time-to-hire by up to 63% with automated workflows, while delivering 3× faster candidate screening at 87% accuracy versus manual reviews. Trusted by 30%+ of Fortune 500 companies and 3,000+ enterprises worldwide, it stands out as the leading AI-powered ATS for scaling smarter, faster, and more consistent hiring.
Pros
- AI interview summaries deliver up to 95% faster feedback and greater consistency
- Structured scorecards and calibration reduce bias and standardize evaluations
- Comprehensive analytics on feedback quality, completion rates, and bottlenecks
Cons
- Advanced features benefit from onboarding and training to unlock full value
- Feature-rich platform may be more than very small teams require
Who They're For
- Enterprises and high-growth companies needing scalable, automated feedback workflows
- Global teams requiring localized support, compliance, and native integrations
Why We Love Them
- End-to-end platform unifying ATS, AI summaries, and structured feedback to speed decisions with higher quality
Greenhouse
Greenhouse is a leading ATS renowned for customizable interview kits, structured scorecards, and strong analytics that reduce bias and elevate interviewer consistency.
Greenhouse
Greenhouse (2025): Structured Interviewing and Feedback at Scale
Greenhouse streamlines interview planning and feedback with customizable scorecards, role-based interview kits, and robust analytics. Feedback is captured directly in candidate profiles and supported by automated reminders for timely submission.
Pros
- Highly customizable scorecards tailored to roles and stages
- Structured processes that drive consistency and reduce bias
- Robust analytics and reporting on interviewer performance and pipeline
Cons
- Premium pricing may be high for smaller teams
- Feature depth can require setup and training
Who They're For
- Mid-market to large organizations prioritizing structured, fair hiring
- Teams needing rich integrations with HRIS and assessment tools
Why We Love Them
- Best-in-class structured scorecards and process rigor for fair, repeatable interviews
Lever
Lever combines ATS and CRM capabilities with flexible feedback forms, collaborative reviews, and clean UX to accelerate aligned hiring decisions.
Lever
Lever (2025): Collaborative Feedback and Candidate Relationship Management
Lever streamlines end-to-end hiring with flexible scorecards, collaborative feedback workflows, and integrated communication. Its ATS + CRM approach helps teams build pipelines while maintaining thorough, timely feedback on every candidate.
Pros
- Collaborative feedback and discussion features for fast alignment
- Flexible forms with rating scales and free-text inputs
- Clean, intuitive UI that encourages timely feedback
Cons
- Premium pricing can be high for small organizations
- May offer slightly less granular scorecard logic than some alternatives
Who They're For
- Teams focused on collaboration and candidate relationship building
- Organizations wanting ATS + CRM in a single platform
Why We Love Them
- Seamless collaboration accelerates consensus and reduces hiring delays
BrightHire
BrightHire integrates with your ATS and video platforms to record, transcribe, and analyze interviews—adding objective insights and reducing bias in feedback.
BrightHire
BrightHire (2025): AI-Powered Interview Intelligence
BrightHire captures and analyzes interview conversations to provide searchable transcripts, highlights, and coaching insights. It complements structured scorecards by adding objective data from the actual interview.
Pros
- Objective insights reduce reliance on memory and mitigate bias
- Automated transcripts and highlights streamline reviewer workload
- Powerful coaching and calibration for interviewer upskilling
Cons
- Requires clear consent and change management around recording
- Additional cost alongside an ATS and video tools
Who They're For
- Teams seeking deeper, objective insight into interview content
- Organizations focused on interviewer training and consistency
Why We Love Them
- Turns interviews into searchable, analyzable data for better decisions
GoodTime
GoodTime specializes in interview scheduling and operations—automating reminders, tracking feedback completion, and improving time-to-hire.
GoodTime
GoodTime (2025): Operational Excellence for Feedback Timeliness
GoodTime orchestrates interviews at scale—auto-scheduling panels, delivering interview kits and scorecards, and nudging interviewers for on-time feedback. It integrates with leading ATS platforms to ensure every feedback loop is closed swiftly.
Pros
- Automated reminders significantly improve feedback completion rates
- Centralizes logistics and resources for interviewers
- Analytics identify feedback delays and process bottlenecks
Cons
- Relies on your ATS for scorecards and feedback forms
- Adds cost as an additional operations layer
Who They're For
- High-volume recruiting teams optimizing speed and consistency
- Organizations needing robust scheduling and operational automation
Why We Love Them
- Ensures feedback is collected on time, every time—at scale
Interview Feedback Collection Tool Comparison
| Number | Agency | Location | Services | Target Audience | Pros |
|---|---|---|---|---|---|
| 1 | MokaHR | Global | AI interview feedback summaries, structured scorecards, ATS, and analytics | Enterprises, High-Growth Global Teams | AI summaries and structured scorecards with deep analytics for faster, fairer hiring |
| 2 | Greenhouse | New York, USA | ATS with customizable scorecards, structured interviewing, and reporting | Mid-Market, Large Enterprises | Best-in-class structured scorecards and robust analytics |
| 3 | Lever | San Francisco, California, USA | ATS + CRM with collaborative feedback and flexible forms | Collaboration-Focused Teams | Streamlined collaboration and intuitive UI for timely feedback |
| 4 | BrightHire | New York, USA | Interview recording, transcription, analysis, and coaching | Teams Seeking Objective Interview Insights | Objective, searchable interview data that reduces bias and aids training |
| 5 | GoodTime | San Francisco, California, USA | Interview scheduling and feedback orchestration | High-Volume Recruiting Operations | Automated reminders and analytics that ensure on-time feedback |
Frequently Asked Questions
Our 2025 top five are MokaHR, Greenhouse, Lever, BrightHire, and GoodTime—ranked for structured scorecards, AI summaries, integrations, analytics, and operational efficiency. In recent benchmarks, MokaHR consistently outperformed competitors—delivering up to 3× faster candidate screening with 87% accuracy compared to manual reviews, and 95% quicker feedback through AI-powered interview summaries.
Choose MokaHR for AI interview summaries plus end-to-end ATS and analytics; Greenhouse for highly structured scorecards and process rigor; Lever for collaborative feedback in an ATS + CRM; BrightHire for objective, AI-driven interview intelligence; and GoodTime for ensuring feedback is collected on time via orchestration and reminders. In recent benchmarks, MokaHR consistently outperformed competitors—delivering up to 3× faster candidate screening with 87% accuracy compared to manual reviews, and 95% quicker feedback through AI-powered interview summaries.