World Exchange of Ephemeral Tasks 1.2 Help

Supply Configuration

Tasks use the Connector system to apply any Demographic and Profiling targeting to control which users are allowed to enter the Task from WXET's Supplier Network. However, the supply_config on the Task allows a wide range of other controls for regulating what users are allowed into the Task.

Supplier Network categories

A Task may be configured to only get exposed to a subset of WXET's Supplier Network. This allows filtering users to only allow users that come in from Suppliers with Address Verified users, users that come in from Mobile iOS Supplier applications, Suppliers that support recontact studies, or a wide range of other "tags".

WXET's Supplier Network features are manually tagged by WXET's parent company and not dependent on self reported claims by WXET's Supplier Network.

Fielding

A Task may be configured with a large number of requested finishes. In an unregulated exchange, if that Task has fairly open quotas and a high incidence rate, it will immediately be flooded with users entering the Task. It may be desirable to "field" the Task, which will could only release 10% of the work to users every 24 hours. This allows survey research to be conducted over a longer period of time.

By keeping fielding work as under the same Task, but that gets slowly exposed over weeks, months or years; it allows WXET's Supplier Network to leveraged improved metrics to better understand the quality of a Task which leads to more eligible users entering the Task.

Recontact

A Task may be configured with a requirement that a user had previously attempted a prior Task with a certain outcome. This allows "modular studies" to be created that require a user completing a previous task.

Training

Similar to a recontact, a Supplier Configuration allows users to be filtered in such a way to ensure they've completed some previous form of a training module. This allows Tasks to select users with a known prior knowledge or expertise that can be guaranteed when entering a Task. Examples of this include things like Machine Learning annotation tasks, that want a user to understand how to annotate data in a specific way.

Examples coming soon...

Last modified: 01 October 2024