Frequently Asked Questions

NoGhostHiring is a structured way to measure how companies engage with candidates throughout the hiring process. It takes candidate-reported experiences and turns them into a clear, standardized scale that reflects both how often ghosting happens and how severe it is. Unlike traditional review sites, it is not an opinion poll, a star rating, or a collection of anecdotes. It is a carefully calculated signal built from verified reports, patterns, and statistical aggregation. Every report contributes to the overall score while keeping candidate identities anonymous and ensuring fairness. The goal is simple: give candidates visibility into hiring practices so they can make informed decisions, and provide companies with meaningful feedback they can act on.

Traditional review platforms are not built to track how candidates are treated. Sites like Glassdoor mix workplace culture, compensation, and personal grievances, often without clear structure, context, or normalization for recruitment experiences. A single extreme review can skew perception, and free-text reviews make it hard to compare experiences in a meaningful way. These platforms focus on long-term employment, while ghosting happens over short hiring windows and requires precise, structured measurement. NoGhostHiring was created to address these gaps, offering a dedicated and transparent view of how candidates are treated throughout the hiring process.

The algorithm behind NoGhostHiring is proprietary and runs on a secure cloud-based system to protect data, bandwidth, and infrastructure. It doesn’t just add up points. Instead, it considers structured report inputs, historical patterns, credibility of submissions, and statistical trends. Each report is evaluated for consistency, alignment with other reports, and severity, while ensuring that extreme outliers do not skew the results. Automated filters catch spam, AI-generated content, malicious submissions, and venting that could bias the score. Human moderators also review reports to make sure only high-quality entries influence the algorithm. All reports are anonymized, and the system is probabilistic, adapting as new data comes in. Updates and improvements are shared on Discord, giving the community transparency into how the algorithm evolves without exposing sensitive details or risking manipulation.

NoGhostHiring uses a layered approach to moderation. Automated scripts first filter submissions for spam, AI-generated content, or any attempts to identify candidates indirectly. Human moderators review reports daily to ensure quality, maintain anonymity, and remove anything that could put candidates or companies at risk. This process prevents rushed submissions from entering the system and helps preserve the integrity of the data before it is used in the algorithm. Because all submissions are anonymized, we cannot verify individual identities, so moderation focuses on content quality and adherence to our guidelines. Candidates may notice a short processing delay while moderation is completed, and this careful review helps keep the platform safe, trustworthy, and credible.

NoGhostHiring delivers its results in a static JSON format to keep things open, verifiable, and easy to access, while also keeping infrastructure and bandwidth needs low. This format makes the data easy to read, parse, and use anywhere in the world. By serving algorithm outputs this way, sensitive information and candidate anonymity are protected, while still allowing researchers and developers to explore the data responsibly. The data is meant to be public and structured for transparency, but if you share or redistribute it, it should follow fair-use principles and include proper attribution.

While automated checks happen instantly, human moderation takes place on a daily schedule to make sure each report meets our quality standards and guidelines. This means new submissions may take a few hours before they appear in the public data. The delay is intentional. NoGhostHiring is not a review site-it is a structured transparency tool that prioritizes accuracy, safety, and fairness over immediate publication.

NoGhostHiring is built on fairness, transparency, and accountability, not punishment or shaming. All candidate reports are anonymized, and companies have a chance to respond through the “Transparency in Progress” feature. Advanced statistical methods, neutral baselines, and careful aggregation ensure that no single report can unfairly affect a company’s score. Transparency does not mean defamation. The platform presents reports in context, showing patterns without erasing or twisting history.

At NoGhostHiring, candidates submit reports anonymously, but we understand that sometimes you may want to remove a report completely. Once a report has been anonymized, it cannot be recalled individually. This protects the fairness and integrity of our aggregated scores. However, if a report contains sensitive information, such as confidential product details, it can be reviewed and redacted upon request. This way, privacy and safety are respected without compromising the credibility of the overall data.

Every report submitted to NoGhostHiring goes through both automated and human moderation. This process ensures accuracy, prevents bias, and filters out malicious or purely venting reports. Allowing bulk uploads would bypass these important safeguards and could compromise the credibility and trustworthiness of NoGhostHiring.

Automated filters block AI-generated content, repeated spam submissions, and any reports that attempt to identify candidates or unfairly target companies. Human moderators review each entry, remove submissions that do not meet quality standards, and ensure everything aligns with our guidelines. The algorithm is designed to focus on patterns rather than individual stories, which helps reduce the risk of manipulation and keeps the insights fair and reliable.

The algorithm behind NoGhostHiring is proprietary to protect candidate privacy, prevent manipulation, and maintain integrity across our cloud-based infrastructure. Sharing the full details could allow bad actors to game the system, compromise anonymity, or interfere with how reports are weighted and interpreted. By keeping the algorithm confidential while providing broad explanations of updates and methodology, we strike a balance between transparency, security, and fairness for everyone who relies on the platform.

Right now, any ads on NoGhostHiring are limited to general sources like Google AdSense, and they help cover the costs of infrastructure, bandwidth, and site maintenance. NoGhostHiring does not accept sponsorships, and any revenue streams we introduce in the future will be clearly disclosed. They will never influence the algorithm or company scores in any way.

With NoGhostHiring, candidates gain clear insight into how companies treat applicants. This allows them to steer clear of organizations with a history of ghosting before they invest their time, energy, and emotional effort. By looking at patterns across multiple reports, candidates can trust that the Ghost Score reflects consistent behavior rather than one-off experiences. This protects them from wasted work and the risk of exposing personal information.

Companies gain clear, actionable insights into their hiring processes through NoGhostHiring. A high Ghost Score highlights areas that may need attention, encourages transparency in communication, and shows a commitment to treating candidates with respect. Over time, companies can see whether their efforts are making a difference, reducing ghosting, and improving the overall experience for applicants.

Recruitment is still one of the most opaque systems today. Candidates often spend hours on applications and interviews only to be met with silence. Ghosting is more than just lost time. It means wasted skills, emotional strain, and valuable information that goes unrecorded. NoGhostHiring captures this lost data, bringing visibility, accountability, and a way to improve the system as a whole. The platform was built after observing repeated patterns across multiple companies, showing that ghosting is widespread and fueled by a lack of accountability. By documenting these patterns, NoGhostHiring gives both candidates and companies the insights they need to make better decisions and helps reduce unfairness in hiring.

NoGhostHiring is built as a neutral, global tool for transparency in hiring. It operates on fair-use principles, and while legal requirements may vary by region, the platform follows consistent methodology and moderation standards everywhere. Users are welcome to reach out to us for questions or clarifications through the provided email. All data and features on the platform are designed to provide safe, reliable, and meaningful insight into recruitment practices.