Systematic Innovation @ Product Camp 2019

 

What is Your Contradiction?

Start with a contradiction. If you’re planning to invest your precious time and energy in a product / service opportunity that doesn’t solve a contradiction, keep looking.

A contradiction is two opposing forces or dimensions that apparently can’t be improved simultaneously. We usually optimize across contradictions instead of solving them — by increasing one variable while decreasing the other variable. Optimization is not the same as resolution. Optimization produces incremental innovation; resolution produces radical / disruptive innovation. Optimization can be a distraction from discovering significant, long-term product / service value.

Solving a contradiction addresses the two essential elements of a viable business model: Customer value (delivering two dimensions that previously required a compromise) and competitive advantage (delivering customer value that the competition has not discovered and / or is not equipped to deliver).

This approach is a variant of a broad domain that is known as systematic innovation. I will describe how prominent innovators have used this approach to disrupt entire eco-systems in medical technology and information technology. I will describe how I used this approach to discover a Web middleware innovation that is currently generating a royalty stream.

Discover product / service value with systematic innovation. When you solve a contradiction, communicate your solution in the form of the contradiction that you solved. Until you discover a contradiction that you can solve — keep looking!

 

Product Camp 2019

 

Systematic Innovation @ Customer Focus 2019 — 9/19/2019

Amplifying Experience by Resolving Constraints

Systematic Innovation in Customer Experience

The practice of experience design is laden with constraints. We wrestle with constraints in every dimension and we compromise between opposing factors. We even presume that compromise is a fact of life — that it is inherent in experience design. We optimize across a set of constraints and we are grateful for an “optimal” solution.

In this session, we will envision the notion of ideal solutions as an alternative to optimal solutions. We will explore the principles and practices that enable the pursuit of ideal solutions. We will investigate the de-coupling of opposing forces that inhibit ideal solutions. We will discover some applications in the experience domain that have achieved the ideal by diverting the optimal.

Compromise is not inherent in experience design. Every truly disruptive innovation solves a contradiction; every solved contradiction was once an un-solved contradiction. Participants will gain the ability to start seeing ideal solutions among apparent constraints.

 

Customer Focus 2019

post @ LinkedIn

slides @ Google

 

Organizations as Systems / Socio-Technical Systems @ INCOSE — 7/11/2019

Organizations as Systems: Systems Engineering in Socio-Technical Systems

Systematic Innovation in Organizational Design

Various paradigms have been proposed for envisioning organizations: Organizations as machines, organizations as societies, organizations as organisms, organizations as brains. In this session, we will envision organizations as systems.

We will identify some principles of systems engineering that we find useful in modeling complex organizations as complex systems; we will explore some system archetypes / design patterns that we find useful in a systematic approach to organizational analysis; and we will share a model that we have developed for improving organizational performance.

We will identify the essential architectural feature of organizations that determines the difference between high and low performance and we will explore the articulation of that feature in a particular organizational context. The context that we will explore is particularly relevant to the systems engineering discipline and community; our exploration will equip systems engineers to identify opportunities for organizational improvement in any context.

 

post @ LinkedIn

slides @ Google

 

 

Systematic Innovation @ MinneAnalytics / Data Tech 2019 – 5/30/2019

Systematic Innovation in Data Science

Data science, as a dynamic and emerging discipline, is wrought with contradictions:

– Quantitative / qualitative (linear / non-linear; intuitive / analytical; left brain / right brain)
– Design / development (design / implementation; strategy / execution; strategic / tactical)
– Quality / speed
– Technical perspective / social perspective
– Machine intelligence / human intelligence
– Deterministic domains / non-deterministic domains

Conventional approaches to data science pursue optimization of these contradictions. Optimization instead of resolution limits the effectiveness of data science. Systematic innovation pursues resolution instead of optimization. Systematic innovation is a combination of art plus science; it is a powerful approach that eats contradictions for breakfast.

Let’s explore using systematic innovation and systems thinking to resolve these contradictions. Let’s make data science more effective.

Data Science 2.0?

 

post @ LinkedIn

slides @ Google

 

 

Systematic Innovation @ Minnebar 2019 — 4/27/2019

What is Your Contradiction?

Systematic Innovation in Product Development

Start with a contradiction. If you plan to invest several years of your precious time in a product / service opportunity that doesn’t solve a contradiction, keep looking. If you are pursuing a product or service innovation and you aren’t planning on a multi-year commitment, keep looking. Whether you’re in a small enterprise or a large enterprise — find an opportunity that is worth a multi-year commitment.

A contradiction is two opposing forces or dimensions that apparently can’t be improved simultaneously. We usually optimize across contradictions instead of solving them — by increasing one variable while decreasing the other variable. Optimization is not the same as resolution. Optimization produces incremental innovation; resolution produces radical / disruptive innovation. Optimization can be a distraction from discovering significant, long-term product / service value.

Many innovations improve one variable in isolation. Some innovations even improve two variables — although the two variables are not inherently in conflict with each other, and they may even be un-related. Incremental innovation. Improve two variables that are inherently in conflict with each other. Radical / disruptive innovation.

Solving a contradiction addresses the two critical elements of a viable business model: Customer value (delivering two dimensions that previously required a compromise) and competitive advantage (delivering customer value that the competition has not discovered and / or is not equipped to deliver).

This approach is a variant of a broad domain that is known as systematic innovation. I will describe the basic model of systematic innovation. I will describe how the systematic approach is more effective than un-systematic approaches. I will describe how this particular systematic approach is more effective than other systematic approaches — it solves a contradiction among systematic approaches!

I will describe how prominent innovators have used this approach to disrupt entire eco-systems in medical technology and information technology. I will describe how I used this approach to discover a Web middleware innovation that is currently generating a healthy royalty stream. We may even explore an application or two on the fly if you want to iterate some ideas.

Join me as we discover product / service value with systematic innovation. If you haven’t discovered a contradiction that you can solve — keep looking!

 

post @ LinkedIn

slides @ Google

 

 

Doug Engelbart @ Computer History Museum — 12/9/2018

symposium-poster1

 

Doug Engelbart “discovered” the foundations of interactive computing @ Stanford Research Institute and presented them to the world on 12/9/1968 in “the mother of all demos”.

This event at the Computer History Museum to recognize the 50th anniversary of “the demo” drew tech luminaries such as Tim Berners-Lee, Vint Cerf, Alan Kay, Ted Nelson, and Andy van Dam. It revives memories of collaborating with Doug at Stanford Research Institute circa 1990. We were collaborating around social computing — a derivative of interactive computing / knowledge management and the predecessor of modern social media. I was at Stanford Research Institute; Doug had founded The Bootstrap Alliance — the predecessor of the Doug Engelbart Institute.

The focus of the alliance / the institute — then and now — was to improve our ways of improving in order to accelerate human / social capabilities. Like Doug — rather meta. This reference identifies Doug’s systematic approach to problem-solving — “an augmentation system for augmenting system development”. In other words — a virtuous cycle / a “flywheel effect”; a precursor of continuous improvement philosophies like lean manufacturing and agile development.

An important distinction that this description indicates: the philosophy and innovation system that Doug’s team used vs. the specific artifacts of their disruptive process. As this story describes — Doug didn’t “invent” interactive computing… he “discovered” it. He discovered it… systematically.

Another important distinction that this reference indicates: the focus on augmenting human intellect / harnessing collective intelligence that drove Doug’s team vs. the physical manifestation of technology.

Doug and his team were practicing “human-centric design” / design thinking — and reaping its benefits — long before those terms were trendy. The typical focus (then and now) tends toward the physical artifacts vs. the cognitive / social drivers; it tends toward random creativity / innovation vs. a systematic approach… rigorous intellectual process / mental discipline (especially at early stage).

 

I reference “the demo” and Doug’s systematic approach in this overview of systematic innovation and I relate it to Innovation Radiation — my particular approach to systematic innovation.

I earned an endorsement from Doug Engelbart for Adaptive Avenue — a patented invention in the Web middleware / user experience domain.

 

The Innovation System of Doug Engelbart

The ABCs of Organizational Improvement @ Forbes

Engelbart on Improving Improvement @ Service Science

Engelbart “Idea Bomb”

 

Vannevar Bush / “As We May Think”

The Augmented Knowledge Workshop

The Mother of All Demos @ YouTube

The Mother of All Demos @ Wikipedia