Brief
Most points wins is a challenge type where the goal is to challenge your players to get as many points as they can, once the duration of a challenge reaches its end the player or team with the most points is considered the winner. This makes this challenge type a very good introductory challenge or generic challenge to run from time to time.
Where we expect good results from this solution
Disengagement, Low morale, Lack of motivation
The introduction of gamification elements to everyday workflow can be used to combat these issues, by providing workers with a clear goal that accurately reflects what is expected of them and a mechanism for them to track this goal while competing with their peers at the same time can bring a new level of variance to the work day that reinvigorates people’s morale and motivation to work.
Low production / Failure to meet goals
In a similar way to what was mentioned above, by using this challenge as a method of communicating goals to the workers, it is easier for them to know what is expected of them to do an adequate job. This not only gives some tranquility to the workers that know everyday that they are doing what is expected of them, effectively doing what can be considered a good job, it also gives managers a way to guarantee that the baseline that they expect from them is always met. The freeform style of this challenge also naturally increases production since it gives workers an uncapped scoring power meaning they are incentivized to do as much as they possibly can if they wish to win.
Low punctuality / Attendance
Although the solution may not be the most adequate for extreme cases of “no call no show” since those are derived from other factors, this challenge type can be used to incentivize your workers to be more punctual and to have as much attendance as possible by rewarding the players who achieve the most in these aspects.
Where the solution may not be the most adequate
High turnover
It is possible that this solution helps with this problem, although it is not what it was designed to solve, so we cannot guarantee direct results from using it.
Lack of speed, Lack of precision
This particular solution was designed with the goal of increasing quantity, it is possible that these two factors are improved using this solution but we cannot guarantee direct and consistent results to this problem using this solution.
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