Deep Innovation Design Training

The name Deep Innovation Design Training indicates the difference: DEEP. Far deeper than any other innovation method so far. And instead of being more complicated, the Deep Innovation Design model makes innovation actually more easy and far better to manage, finance, and execute.

Uncovering why truly groundbreaking innovation was so hard and so rare:
1) Not really knowing how innovative ideas can be created.
2) Then, being forced to random experimentation, pivoting, and failing.
3) Not realizing that the relationship with users holds one of the most important keys to innovation.
4) Therefore, not really knowing what the ideal innovation team composition should look like.
5) Failing to create a robust, market-based concept validation.
6) Lacking the skills to present groundbreaking concepts for c-level approval.
7) The first 6 items makes it nearly impossible to create KPIs that allow creating a genuinely manageable process.
8) Mistakes are resulting in a large portion of projects being dismissed
9) And if not, disaster strikes when the go-to-market strategy started with the usual top customers due to lacking the understanding of early adopter dynamics.
10) As a result, corporations are failing to create disruptive innovation in 99% of the cases and settle with improvements or copying the new leaders.

Immense knowledge explosion in neuroscience has led to a new understanding of how ideas get created. This advancement resulted in innovation management processes, KPIs, and IMS systems. You can learn it all in the upcoming Deep Innovation Design Training.

Education leaders from the University for crafts and arts in Lucerne helped design the Deep Innovation Design Champion Training.

Here are the core elements of the one-week online training with live instructors.

1) Innovation Opportunity Discovery

Instead of random idea development, countless experimentations, and other activities, we developed a targeted innovation opportunity discovery method that involves customers and the market in general to the degree that has never been done except by highly innovative startups. It involves counterintuitive yet logical steps to observe the market and analyze the highest potentials and risks to get disrupted.

2) Innovation Strategy

With the results of a targeted Innovation Opportunity Discovery, a team can craft an Innovation Strategy for the first time. You will describe the innovation strategy goal, who you will innovate for, budgets and resources, and the anticipated outcome.

3) Innovation Dream Team Assembly

Once a direction for the innovation is discovered, and a strategy is created, we can assemble an innovation dream team that looks different than 99% of all corporate innovation labs, centers, and teams.

4) Needs and Dreams Analysis

The first step of such a team is to identify the needs and, most importantly, the DREAMS of their customers’ users. Getting to the customers’ dreams is not exactly an intuitive process, but Neuroscience is also here was extremely helpful.

5) Neuro Ideation

Conventional brainstorming, stickers, and whiteboards have been the most sophisticated tools we had to let our brain spit out ideas. After understanding how ideas get processed, it was a shocking realization that those ideas were always exciting but never even nearly innovative – rarely if a major improvement. The human mind is the most complex object in the known universe but also the most effective. Knowing how ideas get composed from past experiences, how they get started, and composing new ideas changed everything. No drugs, no special training. It’s all about experiences, the right team, the right inputs, and the right details. Neuro ideation leads to a super logical process that we never need to understand in all details but in its behavior.

6) Disruptive Business Model Development

Disruptive technology, products, devices are the classics and rather fast to emulate. Disruptive Business Models a difficult to copy and, in connection with disruptive technologies and experiences, almost impossible to catch up. See Amazon, Apple, Google, IKEA, Microsoft (never invented anything), Tesla, and others. It’s clearly part of the innovation development process.

7) Market-Based Idea Validation

Instead of testing the product and showing it to a small group of insiders, fearing the competition could copy it before it is out, make massive in-market validation. Never use an agency for that. The innovation team needs to get out and ask roughly 20 – 30 clients in a personal interview. A team of ten can easily get feedback from 250 people. Part of the trick is the selection of the interviewee. Ask highly visual and vocal people, who you find on the web, in your support department’s records, and so forth. A methodical process and carefully crafted the questions – no more will do the magic.

8) Staged Innovation Financing

Probably one of the most strategic acts of the entire innovation process. While startups may sack in a hundred million or more, how will you get the funding from your CFO? How can you convince an executive who perfected cash management, profitability, capital expenditures, and market cap – to make substantial investments into a future they cannot see. The “Staged Innovation Financing” model helps far beyond the monetary aspects but took a deep dive lesson from neuroscience. It explains why somebody not actively involved in a genuine innovation process will under no circumstances approve a substantial investment in groundbreaking innovation unless you use a methodical path, making them part of the process despite their busy days. An estimated 95% of corporate innovation projects fail because of that.

9) Prototyping Market Born Products

Due to brain wiring as experts and their training, top-of-the-line engineers cannot release premature products. This is an extremely costly problem that needs to be solved. Most successful products are born and improved in the market and completed during approximately six months of market testing. Market side advocates can provide priceless support and invaluable insights.

10) Innovation-To-Market

Usually are new product generations, or even new products are presented to the biggest customers first. The more disruptive a product is, the harder it is to get large businesses to accept those innovations. Is it an indication that the innovation is not good? Wrong. The audience is not good for groundbreaking innovation. Any groundbreaking innovation ever brought to market took at least 3 years to gain adoption and 5 to 10 years to become mainstream.

11) Global Scaling

After the first two or so years in the go-to-market process need to scale. Audience expansion, geographic expansion, production scaling, sales and marketing scaling and diversifying to different audiences, financial scaling, growth financing, and so forth. THIS 11th EPISODE determines if INNOVATION is happening. It is the ultimate milestone of the innovation dream team, most likely in its 5th year of the project.

12) Innovation Continuum

Even the most innovative companies fail to continue their innovation journey. Cisco is still making most of their money with communication devices, Intel with their silicon-based chips, Mercedes with their combustion engine based automobiles, Google with search, Facebook with their social network, Uber with taxi service operation fees, and so forth. There is no “we wait until we get there” innovation culture, operational guidance, financial structure, team spirit, take years to enter into an “Innovation Continuum

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Management, KPIs, and Goals

With a detailed and methodical process, innovation turns from random experimentation to a measurable and manageable process. A strategic effort calls for a goal and milestones. All that is now possible, and you can experience it in the Deep Innovation Design Training.

1) Goals: 

Most likely, one objective is a competitive advantage. But the hard goal needs to be the return on investment and profit contribution. Obviously, there may be a whole series of other strategic goals and objectives.

2) Key Performance Indicators include:

Time Management:

Obviously, trying to manage anything the factor time is one of the most critical factors. Time to complete certain project episodes, execution time compared with others and so forth. The factor time is part of a series of KPIs.

Time to innovate:

The Time To Innovate TTI is one of the strategic KPIs. It’s important to know how fast can a team get to innovation. The start and the endpoint are critical to be defined so we can measure that time span. We calculate the TTI in days from the initial “Needs & Dreams Analysis” to the market-based “Idea Validation”. It’s also important to define innovation as a disruptive or groundbreaking innovation. Everything else would be an improvement.
Benchmark for a good TTI: 6 weeks

Time To Market:

The Time To Market is the time between “Idea Validation” and first revenue during the “Innovation-to-Market” episode.
Benchmark for a good TTM: 6 months

Budget Management:

The way a given budget is used over time between Innovation Opportunity Discovery and first revenue in the market. Then from first revenue to scaling, being in at least 20 countries and 5 continents.

Financing stages:

Staged Innovation Financing is a process that manages financing from Innovation Episode to Episode until the team presents to the CFO. In the meantime, the team will present each stage in a 3-minute online meeting.
Benchmark for a good initial budget is $50,000  plus the salary for a team of 8 to 12

Innovation contribution:

Measuring the number if innovation relevant ideas, research facts, and work inputs
Benchmark for a good TIC value: 1,200 (contributions)

Degree of innovation confluence:

Measuring idea composition based on team inspiration from other members. They share who inspired them. Data show the Idea Confluence Factor ICF learning how well a team builds on each other or works in isolation. The Individual Ingenuity Driver IID shows the key driver and possible dominance.

Innovation Progress States:

Measuring the progress from episode to episode as an IPS (Innovation Positioning System) over the typical 12 episodes. Average Mean Time Between Episodes MTBE
Benchmark for a good MTBE: 2 weeks

Innovation process data consolidation:

Average corporations run between 50 to 2,000 innovation projects, distributed across the world. It’s important to consolidate and compare all the data to help teams improve and share their experiences to advance their innovation processes.
Consolidation is important to see the overall effort, overall budgets, overall cost, overall team sizes, overall ROI. For comparison purposes KPIs including TTI, TTM, Budgets, TIC, ICF, IID, and MTBE.

With a Deep Innovation Design Training,
Innovation is no longer serendipity
but a highly strategic and intelligent process!

You may want to explore the BlueCallom Innovation Management Academy.