Maimai online company review service

Maimai launches company review service

Maimai launches company review service. The workplace community Maimai today announced the launch of a company review system, which gathers reviews from tens of millions of employees and more than 100,000 companies. , to help professionals understand recruitment companies more objectively. Maimai launches company review service. Maimai launches company review service 1

Recently, the workplace community Maimai launched a company review system, using the definition of "read reviews first and then find a job" to explore emerging job search models. Lin Fan, founder and CEO of Maimai, said that in the past 20 years, the review mechanism has profoundly changed the consumer Internet. In the era of industrial Internet, Maimai’s review model will change the recruitment industry and promote recruitment into the “review era”.

Lin Fan believes that the traditional self-proclaimed recruitment model has a strong information asymmetry. More workplace information is filtered by the recruiter, making it difficult for job seekers to grasp multi-dimensional real information. This subjective information filtering makes it easy for job seekers and recruiting companies to mismatch, resulting in higher selection costs for both parties. Lin Fan said, "The biggest pitfall that every working person has encountered is information asymmetry. Mismatching is also hurting every high-quality company that desires talents."

He believes that through Maimai Company Reviews, "let everyone help everyone", it breaks the information barrier and makes workplace information more real, objective and comprehensive. Present. Job seekers reduce the huge selection costs that may be caused by misjudgment. Maimai proposes the concept of "read reviews first, then find a job", which will redefine the job search model and help workplaces and companies better find the best fit. the other party. "Consumption reviews will make stores with bad reviews disappear; Maimai company reviews will make companies with bad reviews disappear. Maimai company reviews will make one small step for the recruitment industry." Lin Fan said that although Maimai company reviews are not yet available, Perfect, there is still a lot of room for improvement, but standing on the right trend, Maimai also invites all professionals and companies to create together.

A survey by the Maimai Talent Think Tank shows that 91% of job seekers will actively collect company information and conduct "background checks" for the company. Because it provides users with important reference value, Maimai's review system quickly gained fans after it was launched. Lin Fan said that the basis of company reviews is to find companies and positions that are most suitable for talents.

As for whether reviews will lead to the problem of "there is no good company", Lin Fan believes that multi-faceted operations and more data are needed. A company that can withstand employee reviews is a good company. A company that deserves the reviews of its departing employees is an outstanding company.

It is understood that Maimai has more than 110 million registered users, 5.7 million posts in the content community, 7.18 million workplace people linked to the recruitment service, and 10 million employees, more than ten A huge database of reviews from thousands of companies has been established.

It is worth noting that during this spring recruitment period, Maimai also launched a "job-worthy" list based on platform big data and real user ratings, such as the team atmosphere list and the company with the least age anxiety. Rankings, etc., to meet the diverse needs of current job seekers. In addition, Wang Qian, co-founder of Maimai, revealed that according to survey data, nearly 70% of users feel that Maimai's "Desirable Jobs" list helps them make career choices, and they would like to take the initiative to read the list before changing jobs next time. What Maimai launches is not only a list, but also allows users to break through the cognitive circle and have new choices and new possibilities. Maimai launches company review service 2

The workplace community Maimai today announced the launch of a company review system, which gathers reviews from tens of millions of employees and more than 100,000 companies to help workplace people understand recruitment companies more objectively.

Maimai founder and CEO Lin Fan believes that the traditional boasting recruitment model has a strong information asymmetry. More workplace information is filtered by the recruiter, making it difficult for job seekers to master multi-dimensional information. Real information. This subjective filtering of information makes it easy for job seekers and recruiting companies to mismatch, resulting in high selection costs for both parties. Through Maimai company reviews, workplace information is presented more truly, objectively and comprehensively.

In response to problems such as information asymmetry in the workplace, Maimai recently launched a company review system to redefine the job search model by reading reviews first and then looking for a job. Lin Fan said that in the past 20 years, the review mechanism has profoundly changed the consumer Internet. In the era of industrial Internet, Maimai Company Dianping will definitely change the recruitment industry and promote recruitment into the "Dianping Era".

The reference value of Maimai Dianping content is closely related to factors such as the sample size of its workplace users, content content, and authenticity. Official data shows that Maimai has more than 110 million registered users, 5.7 million posts in the content community, 7.18 million career workers linked to the recruitment service, and reviews from more than 100,000 companies, forming a "read reviews first and then find a job" model. Provided support.

According to a survey by the Maimai Talent Think Tank, 91% of job seekers will actively collect company information and conduct "background checks" for the company. It is precisely because it provides users with multi-dimensional career information that Maimai users are growing rapidly. Currently, Maimai has more than 110 million registered users, 5.7 million posts in the content community, 7.18 million workplace contacts through recruitment services, and reviews from tens of millions of employees and more than 100,000 companies. Maimai launches company review service 3

As the current leader in China’s workplace social network, Maimai has been committed to opening up the “social field” and the “opportunity field” to help users make better career choices. Help enterprises better connect with talents.

On February 16, the workplace community Maimai announced the launch of the company’s review system. Lin Fan, founder and CEO of Maimai, said that in the past 20 years, the review mechanism has profoundly changed the consumer Internet. In the era of industrial Internet, Dianping will also change the recruitment industry and promote recruitment into the "Dianping Era".

He believes that the review model breaks the information barrier and allows workplace information to be presented more truly, objectively and comprehensively. Job seekers reduce the huge selection costs that may result from misjudgment.

For this year’s spring recruitment, Maimai also launched a “job-worthy” list based on platform big data and real user ratings, such as the team atmosphere list and the list of those with the least age anxiety Company rankings, etc., has created a series of workplace labels, covering salary and benefits, corporate culture, organizational structure, job configuration, promotion, business development and other workplace information that professionals care about.

Maimai big data shows that 91% of job seekers will actively collect company information and conduct "background checks" for the company. The latest data shows that Maimai has more than 110 million registered users and 5.7 million posts in its content community.

Maimai’s “Job Deterability” evaluation system places greater emphasis on “real employees, real ratings, and real reputation.” Maimai will provide a ranking list of the most worthwhile companies at the moment based on comprehensive and active big data analysis of the company, combined with real ratings and evaluations from employees or former employees.

Users can rate and comment on companies they currently work for or companies they have worked for. The list has multiple evaluation dimensions. Users can rate and comment on the company in four aspects: salary and benefits, team atmosphere, personal development, and business prospects, and give the company an overall score.