The harnessing, by a crowd-sourcer, of distributed talent (crowd) at a mass scale to perform discrete work tasks. This work can be disseminated via laptops or mobile devices and can involve jobs that require hundreds of workers, or those that require a single person. There are several classes of crowd sourced work and labor types, spanning a breadth of simple, to very creative or complex tasks.

Examples of crowd sourcing work includes:

  • Contests – allows crowd-sourcers to post jobs and evaluate submissions to select the winners, based on output. Some highly dynamic contests allow for self-organizing groups to collaborate on tasks. This type of sourcing is ideal for tasks including graphic design, software testing, analytics and other creative projects.
  • Macro Tasks – focus on highly skilled workers performing specific projects. This is ideal for web design, collateral development, content writing and application development.
  • Micro Tasks – suited to large distributed workforces. Micro tasks are often simple, high volume activities that rely on basic (but often not automatable) skills. This is ideal for tagging photos, adding descriptions to unstructured data, transcribing audio records, digitizing handwritten records or interpretation of receipts.


Work atomization, workflow management, task dashboards, payment platform, management portals.
Crowd sourcing is a standalone component, which can be integrated into most service delivery operations. Crowd sourcing can be an important supplement to workflow that also incorporates AI and RPA, extending the percentage of an end-to-end task that can be transformed and optimized.

In addition to a distributed pool of capable workers, the typical capabilities required for successfully deploying and managing crowd sourcing include:

  • Design and segmentation of work tasks
  • Platform for work allocation, tracking, and management
  • Payment mechanisms
  • Ranking and evaluation of work performance


Crowd sourcing allows access to large volumes of human labor and is ideal in several situations:

  • For work that is structured, it provides access to high resource bandwidth to manage transactional volumes.
  • For work that is more specialized and creative, it allows the selection of capability from a far wider talent pool than is available locally.

In both examples above, cost per transaction is likely to decrease and the ability to handle high volume fluctuations will radically improve. Quality can be expected to be superior to alternative work types.