Crowdsourcing

Crowdsourcing obtains contributions through an open call beyond a designated individual or team. It can extend access to observations, ideas, skills, or effort. Its success depends on the task and the process for collecting, verifying, selecting, and integrating contributions; a crowd is not automatically wiser or cheaper.

Crowdsourcing uses an open call to obtain contributions from people beyond a preselected worker or team. The contribution may be an observation, a proposed solution, a creative artifact, or work on a defined task. Decide which of these is wanted before choosing the process. Collecting many submissions does not itself combine them into a reliable result, and crowdfunding, collaborative production, and numerical crowd prediction have different objectives and quality controls.

The central design problem is how contributions become usable. Distributed observations need coverage and verification; independent estimates need an aggregation rule; a creative contest needs explicit selection criteria and contributor terms. Some work benefits from discussion, while other work needs independent first responses to limit herding. Account for recruitment, review, integration, compensation, and missing participants. A crowd may include experts, and specialized review may still be necessary; neither crowd size nor openness guarantees superiority or representative participation.

When to use it

Use when a bounded task benefits from broader participation and the contributions can be evaluated and integrated. Compare the full process with alternatives, including specialist work; lack of budget alone does not make unpaid crowd labor an appropriate solution.

How it can help

Define the needed contribution and how it will be checked before inviting participation. Use independent collection when herding threatens estimates, and coordination when contributors must build something together. Establish fair terms and account for recruitment, review, and integration costs.