Mood Tracking and Suggestion
Track the well-being of your teams and employees. Find out the hidden problems, suggestions and expectation. See the overall moods of the teams and receive smart recommendations for improvement.
Performance Management with OKR
Make the main companies' goals and visions transparent and reduce time and efforts by defining a clear direction. This makes everyone feels engaged by seeing their progress towards achieving their goals.
Fun healthy challenges
Teams that play together stay together. By sending smart suggestions for necessary activities among employees we promote a healthy lifestyle with entertaining group activities to increase the motivation and engagement.
Come With Us on A Journey to Employee Engagement
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Average Mood of the week
Every day one notification will be sent to the team members to ask about their day, and the mood charts are available to everyone on the team, not only to the managers.
Goals Progress
The overall progress of the defined objectives and goals for the teams would be visible to everyone and by going through each goal, its active members and their tasks are transparent.
Ranking in health Challenges
The monthly active team challenges and their progress are trackable and motivate the other members to take part in one of them to be the hero of the month.
Smart recommendations and Suggestion
The most important thing for managers is to understand what’s actually happening within a company and with their people. Understanding people by knowing why they decide to stay at or leave a job is one of the most important features of ComeMit.
Let's dive in the metrics and predict who is going to leave!
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Employees turnover is very costly for organizations. The costs of separation, vacancy, recruitment, training and replacement most of the time can reach up to 150% of an employee’s salary. This investment would be a loss for the company if the new employee decided to leave the first year. A study from Glint shows that turnover rate of disengaged employees is 12 times higher than that of highly engaged employees.
So we mixed some AI algorithms to work on simulated HR data set of 14000 employees and predict what kind of employees will be more likely to leave. Such predictor would help the companies to predict employee turnover and be pro-active in helping to solve such costly matter.
