Data From 3.5 Million Employees Shows How Innovation Really Works
This is new research from Harvard Business Review is worth a read. They analysed millions of employees of users of an innovation management platform called Spigit. If you only have 60 seconds, here are the take-aways;
- Scale – more participants. To succeed, an innovation program needs lots of participants. It’s the wisdom of the crowd: a large mass of participants will always out-ideate a small group of smart people. On average, companies generate one idea for every four participants in the system.
- Frequency – more ideas. To get to a set of promising ideas whose implementation would make sense, you need to sift through a lot of candidates. To succeed, a company needs to create frequent idea challenges for its employees. These challenges reinforce a culture of innovation and generate more ideas going into the pipeline. While there is a great deal of variation based on the types of ideas and the companies reviewing them, on average, it takes five idea candidates to generate one idea that the company judges to be worth implementing.
- Engagement – more people evaluating ideas. It’s not enough to get some people suggesting ideas. You need lots of other people figuring out whether those ideas are worth working on, or what it will take for them to become better. A successful idea management system is a ferment of commentary, with lots of feedback.
- Diversity – more kinds of people contributing. You might think the most productive innovation system would be full of engineers or other problem-solvers. You’d be wrong. A successful system needs contributions from all over the organization, especially staff who are close to the front lines: sales staff, support workers, or people in close touch with the company’s manufacturing processes, for example.