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Pricing impacts how fast a task is taken up, but it does not directly influence the quality of results. The only way to actually influence quality with money is by using a smart motivation scheme, where the task price changes depending on individual quality.
Tolokers try to maximize earnings while minimizing effort and time spent. This is far from ideal for requesters who want their data to be labeled with the best quality possible.
This can be solved with performance-based payment. Instead of having a fixed price for each approved task, payment can be connected to the quality of the work done by the Toloker. There are various ways to calculate individual quality, but most of them rely on checks that are hidden from the Toloker. This means that to maximize their earnings they need to complete every assigned task carefully, thereby increasing the overall quality of data.
Here's an example of how a bonus of $0.50 can be awarded to Tolokeres with different quality. Note that in all three cases quality is reasonable, meaning that the Tolokers have successfully passed through basic quality filters.
Fixed payment | Accuracy bonus | Total | |
One complex task | $1 | 0.7 x $0.5 | $1.35 |
Several smaller tasks | $1 | 0.5 x $0.5 | $1.25 |
Correct on 10 out of 10 | $1 | 1.0 x $0.5 | $1.50 |
Important points to keep in mind when using performance-based pricing:
In Toloka, you can configure different prices for different skill values by using dynamic pricing in the pool settings.