On the Radar: Codigital

UK-based Codigital’s Real-Time Ideas Engine application enables organisations to quickly engage large groups of individuals to co-create and prioritise solutions to open ideation questions.

What does it do?

The Codigital Real-Time Ideas Engine is a SaaS-based application which enables organisations to ask a question of a group, and have the group collaboratively provide ideas to answer that question, prioritising the ideas through crowd-sourcing techniques. Based on an evolutionary algorithm approach to collaboration, Codigital focuses participants on four key activities – adding ideas, ranking other people’s ideas, editing others’ ideas, and voting on (“resolving”) the edits that have been suggested:

  • Adding ideas. For each question (“project”), participants are invited to submit their ideas using a simple, text-based form. The form can be configured by the organisation to adjust the minimum and maximum length of the submission (between 10 and 500 characters), but the focus is on speed and simplicity, providing a short, succinct idea, rather than a long, drawn-out description with supporting materials, for example.
  • Ranking ideas. Once posted, ideas enter the ranking process for that project, starting at the bottom of the table. The Rank feature encourages participants to vote on others’ ideas via a series of head-to-head comparisons where individuals choose between two ideas. Each participant is assigned a number of pairs to consider; once they have completed their required set of comparisons, they are unable to carry out further rankings until there has been further activity on the system, such as new ideas added, or rankings by others, for example.
  • Editing ideas. Instead of adding a new idea, participants can edit an existing idea, in order to refine or develop it further. However, editors are constrained in terms of the degree of changes they can make to a particular idea; only 50% of the content can be changed with each edit. This is designed to focus activity on augmenting and improving ideas, rather than completely replacing them. The assessment of the change goes beyond simply character recognition; the technology also recognises the content of the change, so that moving phrases or words within the content of the idea has less of an impact on the change quotient of each edit than deleting words would.
  • Resolving edits. Submitting an edit doesn’t immediately prompt it to be published; the edit is then put to the vote within the project community. Via the “Resolve” tab, participants are presented with another head-to-head comparison to vote on, with two versions of a single idea shown side-by-side, the differences highlighted. Once an edit receives the required number of votes, it replaces the previous iteration in the ranking list. The version history for each idea is always available.

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