Schedule chicken is when someone is personally behind on their work, but doesn't say anything because they think someone else will, and take the heat for it, thus protecting their own ass. This apparently goes on at Apple, and is completely absurd. There's another way.
We're excited to announce the availability of a new product, Flashcast. Flashcast is an entirely new way to interact with your audience. Ask them to make predictions about a related topic and watch the results, live.
Cultivate Labs and two of our clients, AstraZeneca and the Canadian Nuclear Labs, were featured earlier this week in The Wall Street Journal's, "Companies Turn to Internal Crowdsourcing to Pick Best New Ideas."
As I was scrolling through news this morning, I noticed a headline: Energizer’s 18,000mAh phone-battery monster is an Indiegogo flop. Checking other headlines about this, the news and commentary were equally brutal.
If you’re leading a large team that’s globally dispersed, you understand the challenge to create an innovative culture that can span physical boundaries. Here are 3 lessons from one Fortune 100 client running an innovation campaign across multiple countries that's exceeded expectations in countries including Japan.
When we start projects with our clients, one of the first items we talk about is whether they want people to be anonymous in our prediction market or if they’ll use their real identities. The answer often reveals a lot, both about company culture and their personal fears of what will be made transparent. The spoiler alert is most don’t want anonymity.
After working with dozens of companies who have culture initiatives, I’m convinced their multi-million dollar investments in consultants, employee time, internal marketing, and the like will only see a partial return because a blocker is in their way: their culture of fear.
Our bread and butter working with clients is organizing their employees to participate in crowdsourcing exercises. Recently we have been approached more to help get forecasts from external crowds, either to support research projects, or to better understand what outside experts or customers think.
The Canadian Nuclear Laboratories (CNL), the nation’s premier nuclear science and technology organization, just ran its inaugural “Seed Program” committing $1.4 Million for employees to propose – and (using company funds) directly invest in – new projects for the research pipeline.
In the last month we’ve had two potential clients, after receiving proposals from us for projects, say they needed to step back and start the projects very differently than what we had originally discussed. They just weren't ready yet, they acknowledged...
We recently did a project with a private company doing quite well in the marketplace. Its products are widely used and its growth over the past few years has been spectacular. Financially, the company is on really solid footing. But culturally, there were storm clouds. Growth has meant employing a few hundred people to a few thousand in only a few years. The CEO recognized this and lamented at the company's loss of its original hacker/builder culture...
I've been watching for the last few years the announcement, long delay, then recent launch of Augur, the decentralized, blockchain-based prediction market. First off, despite it taking a long time to launch, Augur finally did, and kudos to them for doing so. Building a prediction market from scratch is not easy, building a prediction market on top of immature technology is harder, and building a prediction market to be completely decentralized with smart contracts is downright scary.
Today, The New York Times published a piece, "Maybe the Gig Economy Isn't Changing Work After All," which debunked a popularly held belief that the rise of Uber and other gig work would cause a rift in the relationship between companies and workers. Our white paper on the future of work had predicted the article's newfound perspective. We want to hear your thoughts!
We're pairing up with Lending Club to sponsor a monthly event where
cybersecurity startups pitch their companies, and the audience gets to make
predictions on our prediction market about how they're going to do in the
next year in terms of fundraising, hiring, etc.