by David Norton | September 30, 2016 | Comments Off on Bimodal in an Agile-Everywhere World
It is a fact of life that we all live and work with degrees of certainty and complexity. There are problems and situations we know, understand and can solve with well-understood practices and process — the world of “known-knowns.” And there are more complex problems with higher degrees of uncertainty be it technical, people or business environment – the world of “unknown unknowns.”
In essence, this is bimodal — either you know what to do and you do it using best practice (Mode 1), or you don’t know and have to experiment and use empirical feedback (Mode 2). This is a simplification, yet it highlights a misunderstanding of bimodal: It’s not about the method of delivery ( waterfall vs. agile), it’s about the strategy of managing the uncertainty and complexity in the problem and solution space.
Rolling our enterprise agile, DevOps, and cloud across the entire organization does not mean you are a mode 2 only company. If that were true, we would effectively be saying there are no Mode 1 areas of certainty and understanding – and that does not make for a sustainable business.
In “Bimodal in an Agile-Everywhere World“, and standing on the shoulders of giants, Dave Snowden (Cynefin Framework) and Ralph Stacey (Stacey Matrix); we explore how different levels of uncertainty lead to different outcomes, and business and team experience, even when using the common Web-Scale practices. CIO’s can leverage these differences for business advantage and to optimize the delivery process.
Long after the last monolithic application is retired, and waterfall software development is a dim and distant memory we will still be living in a bimodal world.
Read Complimentary Relevant Research
Predicts 2017: Artificial Intelligence
Artificial intelligence is changing the way in which organizations innovate and communicate their processes, products and services. Practical...
View Relevant Webinars
The IoT In Manufacturing Operations: Where Are We Now?
The Internet of Things (IoT) is a paradigm shift for manufacturing operations. Its fanfare creates uncertainty in state-of-the-art technology...
Comments or opinions expressed on this blog are those of the individual contributors only, and do not necessarily represent the views of Gartner, Inc. or its management. Readers may copy and redistribute blog postings on other blogs, or otherwise for private, non-commercial or journalistic purposes, with attribution to Gartner. This content may not be used for any other purposes in any other formats or media. The content on this blog is provided on an "as-is" basis. Gartner shall not be liable for any damages whatsoever arising out of the content or use of this blog.