For the past 11 years, we’ve worked with product managers and helped them to perform better. We know their challenges and we know their worries and needs. For this reason, in this article, we want to share some tips that make their life a lot easier.
What gets measured gets managed. Innovation is not serendipity; it’s a managed process of transforming novel ideas to achieve their business value. You can only manage what you measure.
The right innovation metrics and indicators are often difficult to find and apply. Not many CEOs would be able to show innovation dashboards with 3-5 simple KPIs.
I’ve recently been advising a range of leaders in how to start successful innovation programs. A couple are relaunches of efforts that were abandoned in the past, and others are starting from scratch in organizations (and sectors) that are more comfortable with the status quo.
Global innovation projects demand particular leadership competencies in a multicultural and networked environment. Leaders need substantial cultural and market intelligence, facilitation, and orchestration skills in order to accelerate innovation and performance around the world. Yet current leadership models are not designed for this highly challenging environment where performance is critical to international market success.
What is information management when compared to computer science? The real difference is in application. While computer scientists are focused on science, mathematics, and a technical approach to computing, information systems is more focused on individual and organizational development. This typically involves using the programming created by computer scientists.
Measuring innovation is one of the most ambiguous tasks when engaging in innovation management. Because of the complex nature of innovation, finding the right metrics is far from being simple.
In an Innovation Point article, Founder Soren Kaplan notes that only one third of Fortune 1000 companies have defined innovation metrics. And yet 77% of business leaders see innovation as a priority. How is it possible that something that is so important to business leaders doesn’t have a defined set of KPIs?
The legacy approach to talent selection involves matching education, length of experience and functional skills to the role. All of this makes sense as a baseline, and for well-established professions. But, we argue, selecting talent for innovation requires a whole new approach. Companies must recognize specific innovation skills that drive business outcomes. Yet today, most lack the tools to do so.
One of the greatest challenges facing innovation professionals is to find the right approach to a given innovation problem. Whether that’s instilling the innovation mojo in a large corporation or simply helping teams become more innovative, the ways to do this seem to be more of an art than a science. However, during the last ten years there has been a strong push to turn this art form into more of a science.
Everyone knows about ROI, as in “return on investment.” But for evaluating the success of an experiential brand event or marketing campaign, businesses should take an equally close look at ROI, as in “return on innovation.”
To gauge the innovation capabilities of an enterprise, it is helpful to apply a systematic method for assessing the quality of, and the relationship between the various and distinct dimensions that drive all functions of the enterprise. As with a sports team, simply having talent does not ensure success. It is the quality of the team work which ultimately elevates or hinders the level of their play.
At IdeaScale, we define prolific innovators as organizations that have moved more than half of their ideas to the final stage. This doesn’t necessarily mean that every suggested idea became a value-generating, implemented reality. This means that the completed ideas had each been investigated, responded to, and a decision was made to move forward or not. But of course, at least a portion of those completed ideas generate measurable constructive outcomes.
Successful organizations know the significance of innovation in business. Apple is a good example of how effective innovation management can improve your products and scale up your business. After reaching on the brink of collapse, it achieved new heights of success by implementing effective innovation management policy. The success of its innovative management strategies once again brought it in the league of leading organizations. If you are an entrepreneur who wants to learn from innovative management strategies of successful organizations, consider the following thirteen strategies.