Désolé, cet article est seulement disponible en English. Pour le confort de l’utilisateur, le contenu est affiché ci-dessous dans une autre langue. Vous pouvez cliquer le lien pour changer de langue active.
Multistep rather than black box
The multistep approach allows to engage experts and to satisfy seekers, in a safe, secured and trustable environment. It ensures better performance for problem solving, less frustration among solvers and less disappointment among seekers.
Online problem solving is often thought of as a “black-box process”: the seeker gives the input, waits a few months and finally opens the box to discover the set of submitted solutions. This process implemented by nearly all Open Innovation platforms has various drawbacks, the main ones being:
- motivation decrease and risk-averse behavior of solvers,
- inefficiency to reach quality and relevant solutions,
- limited incentives for seekers to be fair and pay for all valuable solutions.
We propose instead a three-step “gray-box” process for online problem solving. Based on our experience, we believe that this innovative process has a high potential to leverage expertise and intelligence through problem solving.
The three-step process serves to filter experts in order to select the 2 to 5 most relevant ones out of the initial automatically generated list. Each step is a gate where experts that have accepted the invitation to solve a problem are asked to provide additional information.
The present article is after the chapter we wrote in the book “A Guide to Open Innovation and Crowdsourcing: A Compendium of Best Practice, Advice and Case Studies from Leading Thinkers, Commentators and Practitioners“.
Rétroliens/Pings