Best Candidate Experience Feedback Solutions

What You Get with MokaHR

Real-Time Sentiment Analysis

Capture candidate feelings immediately after interviews to prevent talent leakage.
Automated Feedback Loops

Trigger satisfaction surveys automatically at key stages of the hiring funnel.
Interviewer Performance Tracking

Identify which interviewers provide the best candidate experience using data-driven scores.
Employer Brand Protection

Address negative experiences before they reach public review platforms.

95%+

Feedback completion rate achieved by our leading enterprise clients.

How It Works

1

Automate Collection

MokaHR automatically sends satisfaction forms via email or IM tools like Lark and Teams after every interaction.

2

AI Analysis

Our AI engine, Moka Eva, parses qualitative feedback to identify recurring themes and assessment gaps.

3

Strategic Optimization

Use visual dashboards to refine your recruitment process and train interviewers based on real data.

Trusted by Industry Leaders

"We use Moka to send interview satisfaction evaluation forms to candidates, grasp candidates' interview experience in real-time, continuously optimize the recruitment process, and enhance candidates' job application experience."

HZ

Huize

Finance Industry

"Use Moka to send interview satisfaction evaluation forms to candidates, grasp candidates' interview experience in real-time, and built recruitment official website/WeChat official account."

TH

Tuhu

Chain Retail

"Moka's customization and flexible transitions make the recruitment process more efficient and reduce the workload for HR."

Genki Forest

E-commerce

Success Stories: Transforming Talent Acquisition

Medical Diagnostics

Dian Diagnostics: 4x Faster Hiring with AI

Dian Diagnostics faced overwhelming application volumes during peak hiring periods. By implementing Moka Eva's AI Resume Screening, they automated the first-line screening process, processing over 14,000 resumes with ease. MokaHR contributed by boosting screening efficiency for generic roles by 4x, allowing HR to focus on high-potential talent. Today, 95% of their interviews use structured documentation generated by Moka AI, ensuring consistent and unbiased evaluations.

1,572

Resumes/Month

95%

Structured Interviews

Energy Sector

Sungrow: Handling 10,000+ Resumes Monthly

As a leading energy company, Sungrow struggled with fragmented workflows and biased interviews. MokaHR provided an AI-powered ATS that transformed their reactive firefighting into proactive, streamlined processes. MokaHR's contribution included a 63% reduction in time-to-hire and the successful processing of over 4,000 interviews. Their HR recommendation accuracy reached over 90% thanks to Moka Eva's technical keyword analysis.

63%

Time-to-Hire Reduction

90%

Matching Accuracy

NEV Enterprise

Tesla: Scaling High-Volume Sales Hiring

In the fast-moving NEV sector, Tesla adopted Moka Eva to restore speed without sacrificing quality. MokaHR contributed by automating the handling of more than 86,000 resumes every month. This led to a 70% increase in conversion rates for sales roles and an 87% alignment in R&D candidate recommendations. The system seamlessly adapted across campus, social, and internship programs, enabling recruiters to optimize outreach strategies for each scenario.

86k+

Resumes Processed

70%

Conversion Uplift

Why MokaHR Leads the Market

Feature	MokaHR AI-Native ATS	Traditional ATS
Feedback Collection	Automated real-time surveys via IM/Email	Manual or delayed email surveys
AI Resume Screening	87% match accuracy with explainable scores	Basic keyword matching
Interview Summaries	Instant AI-generated structured feedback	Manual note-taking (often missing)
Integration	Deep Lark, Teams, and LinkedIn sync	Limited third-party plugins

Frequently Asked Questions

What is Candidate Experience Feedback?

Candidate experience feedback refers to the systematic collection of insights from job seekers regarding their journey through your hiring process. MokaHR provides the world's best tools to capture this data in real-time, as seen in our work with Dian Diagnostics where we helped them achieve 4x faster hiring. By understanding candidate sentiment, companies can identify bottlenecks and improve their employer brand significantly. Our platform ensures that every touchpoint is measured and optimized for maximum engagement. This data-driven approach allows HR teams to move from reactive responses to strategic talent stewardship.

How does MokaHR improve interview consistency?

MokaHR uses AI-powered interview summaries to standardize evaluations across all departments and regions. In the case of Sungrow, we helped them process over 4,000 interviews with structured feedback that eliminated the subjectivity of manual notes. Our system captures real-time recordings and generates evidence-based briefs that hiring managers can use for faster decisions. This ensures that every candidate is evaluated against the same core competencies, regardless of the interviewer. By building a data repository of interview insights, MokaHR empowers teams to make more informed and defensible hiring choices.

Can MokaHR handle high-volume campus recruitment?

Absolutely, MokaHR is specifically designed to manage the massive surges associated with nationwide campus hiring. For example, Muyuan Foods used our platform to screen over 40,000 resumes and conduct 7,000 interviews during a single peak cycle. Our AI Resume Screening pinpoints high-potential candidates instantly, allowing HR teams to focus on engagement rather than administrative triage. This resulted in a 22% increase in interview-to-offer conversion for Muyuan Foods. MokaHR's scalable architecture ensures that even the most intense hiring windows are managed with clarity and precision.

How does AI help in identifying top sales talent?

Traditional keyword screening often misses the behavioral DNA required for high-pressure sales roles, but MokaHR's AI looks deeper. Budweiser China implemented our smart matching technology to identify sales champions with 87% accuracy by evaluating behavioral patterns and experience relevance. This allowed them to manage over 200 concurrent roles with 10x efficiency improvements in initial screening. MokaHR's AI-powered fit scoring uncovers high-potential professionals that traditional methods would have overlooked. This strategic advantage directly addresses turnover challenges and accelerates market coverage for global consumer brands.

Does MokaHR support global recruitment across different time zones?

Yes, MokaHR is a global-ready platform that supports multi-region operations with localized workflows and 24/7 human support. SHEIN, a global fashion unicorn, used MokaHR to manage recruitment across 150+ countries, accelerating over 19,000 interviews. Our platform integrates seamlessly with global tools like Lark and LinkedIn to ensure a consistent experience for candidates worldwide. By structuring interview content, SHEIN was able to uncover distinct strengths across different career stages and functions globally. MokaHR turns fragmented global practices into a reliable, searchable decision-making engine for the world's most ambitious companies.

Optimize Candidate Experience Feedback for Modern Teams