I'm stirred today to write a comment on this MyCustomer.com post, "Ross Dawson: Six tools to kickstart your crowdsourcing strategy" that surfaced on Twitter the last few days.
See this tweetdoc for activity.
In general, it's a great post, and I am continually intrigued and inspired by the very notion of crowdsourcing for innovation, which has many elements -- Ross provides a nice overview of the following concepts in particular:
- Distributed innovation platforms
- Idea platforms
- Innovation prizes
- Content markets
- Prediction markets
- Competition platforms
My questions though arise in the definition of crowdsourcing - and where does it start and stop, in terms of the process?
For me, on face, the word denotes pure collaboration, with a purpose based on the crowdsourced event or goals -- yet not merely at the front end of the process.
Products like Spigit or Brightidea, among others, provide great provocation, good vetting and a tangible platform pull for crowdsourcing innovation ideas.
Great ideas, great contests for up-front vetting, great community rally getting people to help push the ideas forward, competition, prediction, etc. - all excellent, and all this data is now in a system.
But beyond, where does the data go?
The notion of floating meeting ideas come to mind. I used to call them "airball meetings".
How many times have you been at a meeting with brilliant minds, and brilliant ideas -- all floating around, in the air -- and no one writes them down, or puts them into a system. Then the next week comes, and um, let's rehash and refloat those ideas again, and again... (and I've also been guilty -- don't get me wrong!)
What is simply AWESOME about innovation platforms is not merely the community collaboration elicited. I think it's about the enormous collected data over anything else -- in a system -- so much data that needs a life beyond.
Collected data, utilized, is extremely powerful.
With phase II, new product and innovation ideas that began, can now begin to come to life with the right hosted, shared, and collaborative environment. Phase II is the software development process (SDLC) -- with direct data integrations of innovation platforms' data into systems.
It would look like this:
There is this one point in Wikipedia's definition:
Individuals who participate in crowdsourcing projects are often anonymous,
Am I stretching the definition too much?
I'm not sure.
While the origination of the term may have come from open anonymous approaches, keep in mind that the innovation platforms called out above are not merely anonymous. These are being sold into large closed organizations... So thinking that anonymous part is just a nit.
Maybe initially an open and anonymous crowd may work, but to translate into really making something - hmm....
Well that's my thoughts -- and in my crowdsource group of one here, vote was thumbs up, unanimous!