WinterMilestone 3 BPHC DarkHorseIdea: Pure Referral Based Structure

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Our dark horse proposal is a pure referral based system for worker assignment to requester's tasks.

The assumption behind this system is that requesters often see poor quality of work, which is a waste of time and resources. There is a need to match the specific requirements of requesters with the workers who are capable of executing such tasks.

Platform Stucture

We propose a system where a requester initially selects a small number (maybe 3-5) of highly reputed workers. These workers, in addition to completing the task, will have the responsibility/privilege of referring or inviting other workers they deem fit to perform the task, who in turn will be allowed to invite a few more workers, and so on, extending to several levels. The number of people a worker can invite depends on his/her level in the structure. In this way, a group of workers will be assembled to work on the given task.

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Mechanism

Worker A refers worker B.

Scenario 1:

- Worker B is rated 'good' or highly as per the rating scheme employed.
- Worker A's ranking increases proportional to A's position in the structure.
- If worker A refers a sufficient number of good workers, Worker A receives monetary benefit and moves up a level in the structure.


Scenario 2:

- Worker B is rated 'bad' or poorly as per the rating scheme employed.
- Worker A's ranking decreases proportional to A's position in the structure.
- If worker A refers a certain number of poor workers, Worker A moves down a level in the structure.
- If worker B is consistently rated poorly, he/she is removed from the task.

In this way, the system incentivizes every worker referral. By penalizing workers who refer poor workers and offering benefits for workers to refer good workers, the structure ensures that requesters will get the best work.

This structure is also useful because is can allow requesters to assign responsibility to some of the workers. By picking the first layer of the workers, requesters assign the responsibility of picking other workers to the workers themselves. This solves two problems:

1. The issue of requesters being unable to handle the flood of queries, concerns and other communication from workers is handled 
   by some workers.
   Each worker can handle questions and queries that arise from workers that he/she referred for the task. The worker in turn 
   recieves infomration from the worker who referred him/her. 
2. The first set of workers can help assist the requester in designing a proper task, and can serve as sufficient feedback to 
   resolve any issues. 
   The worker will refer another worker to this task only if he/she is satisfied with the task's design.

Assumptions/Limitations:

  • The system also assumes that workers who excel at a task will be good judges of other people's ability to perform the same task. It also assumes that there is an excess of workers, which is usually the case.
  • The structure may limit tasks to people who can network with or seek out people who can pick them for the task. While it may restrict newcomers, it also allows workers with low reputation to participate in tasks that they normally wouldn't be eligible for, giving them a chance at redemption.
  • If the incentives are poorly designed, the emphasis may move away from the task and to the referrals instead.

Milestone Contributors

@sreenihit, @aditya_nadimpalli