Innovation

How Nudgers can be Nudged to Nudge

Published date: March 30, 2022 в 4:00 pm

Written by:

Category: Innovation,Strategy

The work of the duo Amos Tversky and Daniel Kahneman, further developed and popularized by Dan Ariely and others, has led to the growing popularity and use of Behavioral Economics in general, and the practice of “nudging” specifically, in advertising, marketing and communications. We refer to “nudging” here as the act of creating positive reinforcement and indirect suggestions to influence the behavior and decision-making of groups or individuals. A heated discussion has developed of late as to the validity of the idea that these small nudges can indeed move their targets to action, following what seem to be inconsistencies in the research and even some accusations of misrepresentation of data and results.  Nevertheless, in this post we assume that, at least in some scenarios, it is useful to utilize so called nudges, and the task is finding the most effective way to perform them. [If you do not believe that “nudges” exist or can be useful, we recommend that you use your time to read other posts, ours or others’. If you do believe in nudges, this can be useful stuff for you].

In essence, we wish to nudge the nudgers to utilize a specific set of tools that can help them come up with effective ideas quickly and consistently. We will, therefore, focus here on HOW to create these prods.

This year I (Idit) reached the ripe age of 50. I’m not a big fan of counting my years, but my HMO does take age seriously, so they keep sending me notifications and requests to perform a set of examinations. I consistently ignored these well-intentioned messages (probably a topic for another post…) including repeated invitations for a mammograph, until, one day, a nurse called my mobile and declared: “I’ve scheduled a mammography for you, for next Thursday at 5pm. If you can’t make it, please send us a cancellation.” [What did I do?, you may ask]. I went 😊. The nudge nudged me into the desired action. Let us review a few additional examples, to point out some interesting patterns.

Many campaigns have been run across cultures to raise awareness to and combat drunken driving. How can nudges be enlisted for this purpose?

Aurora Bar, in Sao Paulo, Brazil, with the help of their ad agency (Ogilvy), came up with a set of creative solutions. A valet parking service was offered to clients, with a small twist: the driver in whose hands you were to deposit your car was visibly drunk. Customers were obviously reluctant to hand over their car keys to a drunkard, clearly unfit to drive anyone’s car. Some were even upset to the point of raising their voice and rebuking the driver for being unprofessional and irresponsible. At that point, angry customers were handed a note by the drunk valet parking attendant. The note read: “Do not let any drunk driver drive your car, even if the driver is you yourself”. [Watch the customers reactions here]:

https://www.adforum.com/creative-work/ad/player/34464465/drunk-valet/bar-aurora-e-boteco-ferraz

Another solution implemented in the bar was a first-of-its-kind karaoke breathalyzer. The karaoke system’s microphone was adapted to become an alcohol breathalyzer, so that when happy customers who had had their fill of alcohol took the stage and opened their mouth to sing, they were surprised to see, at the end of the song, their alcohol level displayed on the karaoke screen. The singers got the message, and so did their friends.

https://youtu.be/HGCfzlpAhgQ

Brilliant solutions, aren’t they? Looking for commonalities between the two ideas, one can see that in both cases there is a “free-riding” element. Valet parking services were there anyway, they were just assigned an additional task – reminding the still-sober customer of the perils of drunken driving. The karaoke system was there anyway – it was just assigned the additional task of revealing the revelers’ blood alcohol level, both to them and to their friends.

In SIT, we call this pattern of thinking, or thinking tool: Task Unification. But, before we delve into the specifics, a word about thinking tools in general. SIT’s thinking tools are defined by observing and analyzing thousands of inventions, detecting common patterns among them and converting them into tools that have been used in the past 26+ years in thousands of companies and organizations to invent products, solutions, services, strategies, and communication campaigns.

Task Unification (TU), in SIT, means assigning an additional task to an existing resource.

The Aurora Bar solutions are examples of applying Task Unification, since new and additional tasks were assigned respectively to the parking attendant and the microphone.

[You are welcome to try this yourself, continuing with the bar example. What elements does one typically find in a bar? Components that are there anyway? For example: stools, coasters, ceiling, toilets, music, food, smartphones, social media, speakers. Can you think of another nudge idea – assigning the task of reminding people not to drink and drive to one of the components mentioned above? Could you share this idea with us as a comment to this post? Or as a personal message to one of us?]

To introduce a second tool that leads efficiently to effective nudges, we will share an old example from a medium that is rapidly going out of fashion. We will then show how the very same logic is applied some 20+ years later using updated media, finally, we will ask our-and-yourselves what the 2022 version could look like.

The following was a brilliant and impactful campaign run by Amnesty International in Spain.

 

Note that the act of cutting out the coupon (yes, imagine that some of us old timers can remember the days when people actually cut out coupons and mailed or used them!) concretely demonstrates the result that your donation is meant to promote. You break the handcuffs, save the prisoner about to be hanged, etc.

 Two elements stand out when you compare this add to a basic version in which the coupon would simply appear beside the text and visual:

  1. The reader is invited to perform a physical action;
  2. The reader receives a small immediate payoff for their action.

The results of these two features of this type of ad are:

  1. Engaging in physical action can increase engagement and long-term retention of a message. In addition to the everyday experience suggesting that this is the case, there is apparently a growing body of research on “Embodiment Theory” which proposes that knowledge is grounded in sensorimotor experiences. [If you are aware of relevant research, we would love to hear about it]
  2. When the viewer is hesitating as to their engagement with a message or willingness to act on it, we are assuming that a “nudge” can make the difference – the extra payoff in the action can be this nudge.

Let’s observe how this plays out in several additional examples.

The following “SocialSwipe” campaign, from 2014, uses a very similar idea to that used by Amnesty, but with a newer and more sophisticated medium: a billboard invites you to swipe your credit card on the billboard itself, with the double result of both transferring a donation to Misereor, and cutting a visual loaf of bread to feed a hungry child.  [Watch 90 seconds here, of how it plays out]:

https://youtu.be/zVuWtWZh4oQ

The following campaign was created by Publicis Brussels for Reporters without Borders, a non-profit organization which defends the freedom to be informed and to inform others no matter in which regime. Note the interesting combination of traditional print media with a cellular app, in which a phone, placed on top of the ad, hijacks three autocrats’ faces to pronounce an anti-dictatorial message “Because there are mouths that will never speak the truth.

Two of these three autocrats we have been liberated from thankfully, but creepy to think that, 11 years after the campaign, [one of them is still with us, damaging the world with renewed toxic vigor]:

https://youtu.be/JywgnvmtKac

[Have you seen other examples of this type of Nudge-Activation lately? Can you share with us so that we can both enjoy and analyze them?]

How does one go about deliberately creating this kind of message-nudging?

When you wish to convey a message, through a medium, that will lead the viewer to perform a required action, we recommend using the Nudge-Activation tool. Use the medium to create an extra payoff that will nudge the viewer to perform an action which is either the required action itself or will serve as a bridging action and second nudge for the required action.

 

 

The direct version: In the SocialSwipe example the required action was swiping your card to donate. The extra payoff of this very action was seeing the bread being cut.

The double-nudge version: In the autocrat campaign the required action was donation to Reporters Without Borders, the extra payoff was seeing the dictators’ faces pronouncing anti-repression words, and this payoff, together with the physical action of triggering it, would hopefully nudge the viewer into performing the required action of donation.

 [Try applying this tool, by following the simple procedure]:

Applying Nudge-Activation

  1. Define the required action – the action you would like the viewer to eventually perform.
  2. Possibly define a bridging action – a small action that can serve as a nudge towards performing the required action.
  3. Invent an extra payoff that the viewer will receive once they perform either the bridging action or the required action.
  4. Search your medium, your message or the environment of consumption of the message for resources that can help implement the extra payoff or perform the actions. Examples of components used in our examples are: the viewer’s phone, their credit card, the magazines paper, the billboard itself, a coupon, YouTube, social media. [Note that in this part you are using the Task Unification tool, described in the first part of this post]
  5. Combine your message with an invitation to act, presenting the extra payoff or hinting at it, using an existing resource.

Getting you into this article may have required some nudging – we tried our best in the accompanying post, but once you were in it, we did our best to engage you in thinking about our content in a practical way, maybe even asking yourself how you could go about using our tools. [Can you identify the myriad ways we attempted to nudge you towards our objective?] We tried to pepper the article with hints [[[]]] and will be happy to read what you thought about these efforts. Thanks.

Let’s Rethink Our Relations: How to Break Relational Fixedness in the Digital World

Published date: March 24, 2022 в 4:35 pm

Written by:

Category: Innovation,Innovation Facilitation,Strategy

Reruns of “Seinfeld” on Netflix are a glimpse into a 30-year-old time capsule that allows one to dig up innovative ideas that, for some reason, have never been implemented. One of the hidden potential startups is Elaine’s brilliant suggestion, when Jerry, George and she impatiently wait in line at a Chinese restaurant:

“You know, it’s not fair that people are seated first come – first serve. It should be based on who’s hungriest”

Credit: Seinfeld on Twitter

Silly idea? Or wonderful? It probably depends on whether you are hungry when you first hear it. One thing is sure, though – it is too seldom that one rethinks the nature of the connection between the various components of a system, product, or service, and thus, many an opportunity for real innovation is forever lost.

Imagine an external training program offered by your company to a limited number of employees. Since it is too expensive to send everyone who wishes to go, the company selects based on professional knowledge or experience.

At first thought this sounds like a logical and proper consideration, which ensures that the level of trainees is uniform, and participants can process new material based on their knowledge and experience.

But one can look at this situation from another angle. Those selected for training will probably be employees who already master the field, while employees with no background (but with high potential) will have a slim chance of joining. Paradoxically, this means that the cumulative value that the company’s employees have gained from this external training is lower than that of a similar training with participants with no previous knowledge.

The decision to use prior knowledge as a selection criterion for the training is an example of Relational Fixedness, one of the barriers that can interfere with innovation processes.

Relational Fixedness is the tendency to perceive connections and dependencies between variables of a system in one certain way, without being able to imagine different relations.

All types of fixedness are cognitive mechanisms that enable quick understanding of objects and situations, allowing us to take immediate action. Such mechanisms are beneficial and even crucial at both the personal and organizational levels. At the same time, they can be a significant barrier to innovation, as they make it difficult for us to identify new opportunities.

There are other ways to connect the dots

What does it mean to consider different relations between the variables of a system’s components? Let’s look at one of the important variables in any business: the price of the product.

Seemingly, there should be no connection between the price of a consumer product, such as a pair of glasses, and the characteristics of other parameters of the business, such as the location of the store or the day of the year. In practice, many business models display different pricing for the same product depending on these exact characteristics, as evidenced in holiday discounts or outlet stores. These models are examples of breaking Relational Fixedness.

 

 

And what do you think about this campaign by a major optical retailer in Israel? The number of percentage points discounted from a customer’s price is exactly the age of that customer. If the customer is 62 years old, he or she will receive a 62% discount.

 

 

 

 

But how do you produce such unconventional ideas, and how do you make sure they are more than a gimmick? We believe that the way to do this is through systematic thinking and the use of thinking tools that force the would-be innovator to perceive the components that are already available, but through a different lens.

The thinking tool that can lead to the generation of, for example, an age-dependent discount is called in SIT “Attribute Dependency”. The process of using this tool consists of listing the components of the product or system, specifying their characteristics, and then modifying the existing relations (or dependencies) between those characteristics (or creating new ones if none exist).

In the next section we will explain and demonstrate how this can be applied in the context of digital and data-based products.

Relational Fixedness in a data-driven world

What about the digital data-laden world we live in today – is Relational Fixedness prevalent there, as in the world of tangible products? Definitely!

Fixedness is not a feature of computers or databases, but a characteristic of human thinking, including those humans who make the design, marketing, and operational decisions in cutting-edge technology companies.

The information available thanks to digital tools can point to surprising new opportunities, which can easily be missed because they seem “illogical” or because fixedness prevents one from noticing them in the first place.

Despite the fixedness, the abundance of data that can be monitored, processed, and presented to customers has in recent years led to a wealth of new and fascinating models, and to the creation of connections that did not exist in the past between variables of product components.

Here are three reasons why companies choose to break Relational Fixedness in their digital products and offerings, and a few examples for each reason:

I. Make the most of the value embodied in the technology.

  1. In most smartphones, “low battery” mode automatically turns on when the battery runs low. In such cases, display will be dimmed, since screen brightness is a big battery drain. In Attribute Dependency lingo, a new connection has been created between the energy level of the battery and the level of illumination of the screen.
  2. Many digital services and apps are affected by the speed of the internet connection. App providers often operate multiple data centers around the world, and use smart traffic routing to the nearest one, according to user’s IP addresses. The location of the server from which the users receive service depends on the location of the users themselves, a dependency that was not possible in the past.

II. Improve conversion rates and sales

  1. Determining users’ location is beneficial not only to improve the service they get, but also to maximize the probability that they purchase additional products. Location-based services (based on cellular data, WiFi, etc.) demonstrate sophisticated relations between users’ whereabouts and advertising content presented to them.
  2. The scope and resolution of data held by digital stores allow for dynamic pricing strategies, based on a huge number of variables. Some companies even choose to implement differential pricing of the same product, based on the type of cellphone used while shopping online.

III. Design considerations and improving the user experience

  1. The abundance of accessible data and variables for each product and customer makes it possible to fine-tune the users’ experience. Why should all Waze users be represented by the same avatar, when new users can appear, say, as baby-Wazers, and “senior” users as grown-ups? Why should the Google logo always look the same, when it can vary on different days of the year or appear differently in each country?
  2. To ensure a fast and smooth onboarding process, many applications offer an increasing number of features as the user’s level rises. New users will be offered a limited set of capabilities, and as they continue to gain experience, additional features will be revealed to them. A gradual onboarding prevents unnecessary confusion and allows for effective learning of each feature.

It can be clearly seen that data-driven companies know how to make good use of valuable information to create new connections between variables of the application or product components. In fact, we have become accustomed to smarter and more personalized applications, making the most of every characteristic of users’ behavior, their surroundings and even the application mode itself.

 How to leverage what we have learned from these examples

How can such new proposals be systematically generated? And how can one change or unlink existing dependencies, in a way that is not intended to meet a particular need, but to open new horizons for surprising opportunities?

Applying the “Attribute Dependency” thinking tool can be just the answer. In addition to conventional thinking, which emerges from analyzing needs, this tool makes it possible to systematically explore additional possibilities. Here are the operating instructions for a simple version of the tool:

     1. Prepare a list of variables:

  • 5-8 internal variables of the product you are working on (internal variables, i.e., those that the manufacturer has control over: volume, screen size, price of the product or service, color…).
  • 5-8 variables in the product’s immediate proximity (external variables, i.e., those that are relevant to the product, but the manufacturer has no control over: weather, age of user, location in the world).

2. Randomly select a pair of variables: one internal and one external.

3. Identify whether there is a relationship between the selected variables. If it exists – consider the possibility of changing or canceling it; If it does not exist – consider options for creating a relationship or dependency between the two.

4. Identify new opportunities that can emerge from the newly created relationship.

Here are some ideas created by using the tool, as a demonstration:

  1. In most applications, the number of features available to the user increases the more expensive the user’s subscription. Can you find an advantage in an app where a more expensive subscription includes fewer options?
  2. The default order of messages in an e-mail box depends on the time they were received. You can also change their order according to other characteristics, such as the subject of the message or its size. Why should the order of the messages not be related, say, to the number of recipients of each message so that bulk messages do not bother one at the top of the mailbox?
  3. Podcasts have become a favorite format for content consumption. You can control the speed of the audio, but would it not be more useful if the speed depended on the complexity of the podcast topic, or even the complexity of each section in it, or the speaker’s velocity?
  4. The position of Google search results depends on their ranking in Google’s algorithm. The advantage of this for Google (and for us) is obvious, but what if we add an option to display the results of the first five pages backwards? Exposure to new and unfamiliar content can expand one’s mind.

Applying Attribute Dependency is not trivial the first few times, because the process is counter-intuitive. In fact, when it comes to data driven digital products, the process may be even less intuitive than when seeking to innovate with a physical product, because of the wealth of “logical” options that can be realized before considering “weird” offers.

Gaining experience in activating this tool improves results dramatically. Since we have already chosen the less intuitive way – we have a good chance of reaching a surprising result that competitors will miss.

Now, back to Elaine’s idea of how to change the queue at the Chinese restaurant – maybe it’s worth adding a “how hungry are you?” question to the digital form used for booking seats in restaurants?

Four Ways A Common Innovation Language Improves Your Business

Published date: March 16, 2022 в 4:17 pm

Written by:

Category: Innovation,Organizational Innovation

Over the weekend, I was talking to a good friend who has a VERY IMPORTANT job. Big startup, lots of awards – you know the kind. We caught each other up with the goings-on at our respective workplaces. When I shared I was writing about companies having a common innovation language, she responded with “A what?” and a blank look. I realized if this topic was ambiguous even to my friend with the VERY IMPORTANT job, then this was a subject that needed addressing.

The value gained from having a Common Innovation Language (CIL) is because:

  1. You have one
  2. It’s common
  3. It’s for innovation
  4. It’s a language

 Let’s dig deeper:

 HavingHaving a common innovation language means that there is a defined, thought-out framework for how people work and innovate. This provides an overarching structure, what’s in and what’s out. There are a lot of options (method, terms, etc.) when it comes to innovating. If you specifically want people to use one innovation methodology over another, having a CIL reflects that wish. ‘Having’ also reflects on the present – something that is current and updated as needed, therefore making it useful (as opposed to something drafted five years ago with no connection to present company practices).

 Common: A common language is common for two reasons: Everyone shares the same language, and it’s prevalent amongst employees. This helps people work together more efficiently and provides clarity regarding what’s being asked of them. I.e. there are different types of prototypes. Imagine you asked for one and it took 3 months to develop, when you had in mind a simple sketch. Ouch. Or if you say MVP and someone is thinking about last night’s baseball game. Well – you get the picture. So if you have an innovation language in your company, but it’s not common, you’re missing out on all it can deliver. There’s even an emotional aspect – no one likes to be left out of a conversation or think there’s a secret language! A CIL contributes to feelings of camaraderie when working on a shared goal. So if you really expect everyone to innovate, make sure they know the jargon to do so.

Innovation: Companies have common languages, but is innovation one of them? The vast terminologies associated with innovation have made it into a sub-language of its very own. Although there is crossover and borrowing from other fields, they are used differently in the context of innovation (think Agile, Lean, Sprint, etc.). A CIL lets people align around the specific methods, processes, deliverables, roles, and responsibilities that you want people to use.

 Language: People need to have a way to communicate, period. It’s all good to want innovation in your company, but folks need something more than “that thing that we do”. A CIL provides ease of working together and speeds things up. When a term is used, everyone knows what they need to get on, without having to constantly explain the why, what, and how.

Your CIL can keep expanding over time. How you choose to share it can be through ‘word of the day’, during onboarding, or even have a glossary in your knowledge management system. (I’d love to hear your ideas!) The bottom line, the importance of having a CIL is that it shows respect for both the intricate innovation initiatives in your company and the people who make it happen.

31 Chances to Make a Discovery

Published date: March 2, 2022 в 8:03 pm

Written by:

Category: Innovation,Methodology

What if you had a huge discovery in front of you but missed it?

Imagine the world today if Fleming would have glanced at the mold on a culture plate, said “Gross!”, and thrown it away. Or if Spencer took the melted candy bar from his pocket after standing in front of an active radar set, and thought to himself – darn, every time I work on this project I lose my snack!  And went to the vending machine for pretzels or chips instead.

History is full of inventions triggered by “lucky” accidents. Post-it® notes, chocolate chip cookies, X-rays, Teflon – the width and breadth of these discoveries demonstrate that stumbling upon these opportunities could happen to anyone, but the key really is in their recognition. It’s been said that Spencer wasn’t the first to notice the heating phenomenon, but that he was the first to investigate and experiment.

Accidental inventions share a common storyline: First, a bizarre, unexpected situation is imposed. This is followed by “What the heck?” or “What am I supposed to do with this?”. Then, there’s an Aha moment where a new functionality is found.

In innovation terminologies, this sequence is coined ‘Function Follows Form’

Ten-second historical overview: In the late 19th and early 20th century the architectural Bauhaus movement gained popularity for its Form Follows Function design approach – first understand the desired function and then create the form to deliver it.

Then, in the early ’90s, a group of psychologists[1] made an interesting discovery. When it comes to creating, people are innately better at uncovering the potential benefits of a given form rather than creating a new form to satisfy a given need. Meaning, it’s easier for us to come up with a new use for something that we already see, whereas we struggle to imagine a totally new design. This discovery spurred a reverse thinking approach: Function Follows Form. This approach encourages us to first create a virtual situation (form) and then explore its potential benefits (function).

In all honesty, unlike Fleming, I would have chucked that culture plate. Or distractedly looked at my phone while salvaging my melted candy bar. Let’s be honest, things go haywire all the time. But the point is when they do – how do we respond? Do we shelf things or do we take a second look to assess its potential value (perhaps different than originally intended, but value nonetheless)?

I invite you to join the FFF March Challenge (FFFMC). For each day of the month, there is a bizarre form on which to practice finding value and turn it into a real invention. By adopting FFF as an innovation mindset we can have our minds trained not to brush an opportunity off our lap when it falls in it.

[1] Finke, R.A., Ward, T.B., Smith, S.M. (1992). Creative cognition: Theory, research, and applications. Cambridge, MA: MIT Press

Green Eggs, Viagra, Constraints and Creativity

Published date: February 17, 2022 в 3:30 pm

Written by:

Category: Innovation,Methodology

There is little argument that Dr. Seuss is one of the world’s most popular and loved writers. His name is associated with imagination, creativity, talent and originality – and on a personal note – he is one of my favorite writers as well.

In 1954, after reading an article about the shortcomings of books used to teach reading to first-graders, Dr. Seuss was challenged by his friend, William Ellsworth Spaulding, to write a book that first graders “can’t put down”. But there was one additional constraint – he was to write that book using no more than 225 words out of a designated list of 348 words that every first grader should know. Dr. Seuss ended up using 236 words, of which 221 are monosyllabic (!!), to write The Cat in The Hat – a book that has been one of the most successful children’s book ever since.

As if that was not enough, Dr. Seuss’s publisher bet him that he would not be able to write another book using as little as 50 different words. As impossible as that may sound, Dr. Seuss not only won the bet – he did so with a bang. In August 1960 he published Green Eggs and Ham – the book that would become his most successful, and the 4th best-selling English-language children’s hardcover book of all time!

So what’s going on here? How did the unreasonable constraint of writing a book using only 50 different words become the catalyst for one of the world’s most successful and admired books? After all, when we try to be creative we usually go through considerable trouble to break the constraints that limit us, and certainly do not choose to embrace new constraints. Can the explanation simply be the extraordinary talent of Dr. Seuss, or is there something else at play that could be relevant to mere mortals like you and me?

Before we try to answer this question, please take a look at these Viagra TV commercials:

http://www.youtube.com/watch?v=cMhv_wCx5ug

http://www.youtube.com/watch?v=7o8_JjiLpw0

In both these commercials, and for fairly obvious reasons, the advertisers had to avoid describing in detail what their product does, or enables… This constraint is not unique to these specific commercials. What makes them unique, though, is the way the advertisers chose to deal with that constraint.

In many similar cases advertisers have tried to bypass this constraint in various ways, such as portraying men in “the morning after”, filled with energy and joy. But in the examples we just saw there was something very different. They do not contain an attempt to avoid the constraint – quite the contrary. If you think about it, what the advertisers did in both cases is to use the constraint – and in a central and conspicuous manner!

And look at the results: two commercials that are based on a unique element, and are therefore interesting, distinct and memorable; dialogues in which the use of “censorship” leads us to imagine the exact same things you just cannot show on primetime television; a central role for the product itself, as an integral part of the commercial; and last, but not least, a Cannes award for the campaign. All in all not too bad for an idea that was paradoxically inspired by the inability to do what initially seems to be so essential (yes, you can read this sentence again…)

It is interesting to compare this campaign with another Viagra campaign that also uses the same constraint in an unusual manner. Take a look:

http://www.youtube.com/watch?v=ExQKZKnk6rA

In this amusing commercial (that is even funnier the second time you see it) we witness a different way to address the constraint. Here, too, the advertisers are not running away from the campaign using something like “the morning after” approach. Rather, they are facing it head on by replacing the medium which is the object of the constraint – the language itself. The advertisers decided to go ahead and do exactly what they intended to do originally – constraint or no constraint. This “stubbornness” forced them to explore options and alternatives that would never come up were it not for the constraint.

Let’s summarize what we had so far. We saw a few examples in which we recognize a surprising connection between the presences of significant constraints and the ability to develop original and creative ideas. We can even go further to say that in these examples the creative ideas were not developed despite the relevant constraint, but rather because of it.

Yet with all due respect, the constraints did not do the creative work. That has been done by the individuals that chose to address them not as a force majeure that must be submissively accepted, but rather as raw material for a creative exploration. Not as an “end of story”, but as a starting point for a creative negotiation. And that, my friends, is exactly the insight we can take with us, and the state of mind we can learn to adopt.

Not every constraint, in any situation or creative process, can lead us to the development of an award winning campaign or a successful literary masterpiece; but some might, if we just give them (and ourselves) a chance. The widely accepted notion that constraints harm creativity, in not unreasonable; after all, constraints – by their very nature – limit the options available to us. But if we manage to change the way we view them, we may discover that in many cases they simply stop us from settling for the simple, immediate or generic solutions. And thus, by preventing us from taking the path of least resistance, they force us to explore and consider options we would never reach otherwise.

At any rate, in the complex reality we live in, the submissive approach to constraints is an omnipresent problem. When have you last faced a creative challenge, or a problem that needed a solution, in a constraint-free environment??? Constraints surround us in any task and every challenge, so that the ability to use them as a creative opportunity can come pretty handy in our professional lives (and our private ones, by the way). It does not take a lot of resources or complicated preparations – just a shift in our perspective.

So take a few moments to consider the challenges you are facing today, and ask yourselves what constraints make it difficult for you to face these challenges. Maybe these constraints can serve you in the same way the list of words did Dr. Seuss or the censorship the advertisers of Viagra. In what creative ways can you utilize these constraints? Which ideas can they help you come up with, and why are these better than the ones you came up with so far? It may take more than 20 seconds to find meaningful answers for these questions, but if you give it 20 minutes you might be pretty amazed at what you can come up with…

The original version of this article has been published, in Hebrew, on

http://shivuk.themarker.com

No innovation please, we’re too busy

Published date: January 19, 2022 в 12:00 pm

Written by:

Category: Innovation,Organizational Innovation

A few weeks ago, I spoke to a high-level manager in a financial institution. We talked about his (truly) impressive activities in the field of innovation, and then he surprised me somewhat by saying: “Next year we plan to freeze innovation activities.” Since the company is not a client of ours, I wasn’t directly affected by this decision, but still, I was curious to understand the rationale. Another victim of “the Situation”, I said to myself, but to my surprise he went on to explain: “We have so many good ideas now that we need to pause with innovation and focus on implementation.” This is, in my eyes, a symptom of one of the biggest and most common misconceptions in the field; that innovation is all about coming up with ideas of what to do (products, services, whatever it is you do). The corollary of this erroneous concept is, obviously, that once you have these ideas you don’t need to be bothered with innovation any longer, all you need is to “just” implement.

In reality, the situation is nearly the oppositeThe level of innovation that needs to be invested in implementation is not lower, and very often higher, than that which is required for coming up with the ideas in the first place. But this is hardly news for anyone who is involved in the day-today of innovation within a company, such as the manager mentioned above. Why, then, is the mistake so common? It is due, I think, to the fact that people tend to see innovation as a type of activity rather than a quality of performing activities; people see innovation as an answer to the question “what are you doing?” while in fact it is the answer to “how are you doing, whatever it is that you are engaged in?” To avoid this confusion, we use a practical definition:

Innovation is the ability to think and act differently to achieve your goals.

This implies, obviously, that innovation is not limited to certain kinds of activities or contexts. Rather, it is relevant, as an option, in any situation in which a person or group of persons are engaged in a mental activity of any kind. In September, I was talking to a lady who is a director-level manager in a large company. “The last thing I need now is innovation,” she said, “We’ve just finished a successful innovation project, resulting in an amazing new product idea, which I’ve been trying to convince my VP for the past 3 months to OK, but with no success. What’s the use of innovating if they are going to kill your ideas anyway?” To me, it sounded like what she most needed was innovation. From our point of view, this was a classic case of an urgent need for some problem solving, the problem obviously being the need to convince a stubborn VP. And examples of this type are abundant: a VP who doesn’t need innovation because he “just” needs to get his division organized since they keep failing at implementing the great ideas in their pipeline; and of course, the innumerable CEOs who can’t talk about innovation now, because due to “the Situation” (COVID, supply chain, whatever) they see a decrease in sales, profits disappearing, and immediate danger to cash flow. My conclusion: all those people who are too [busy, overworked, full of ideas, engaged in a huge project] to innovate, are precisely those who are most in need of a change in the way they are handling whichever “too” they are immersed in, i.e. they are in dire need of innovation.

Thinking Together about Thinking Together

Published date: January 12, 2022 в 3:53 pm

Written by:

Category: Innovation,Strategy

In the old days, some 20-30 years ago, a good leader was expected to be able, usually with some support, to see the big picture, imagine most of the possibilities and consider their respective pros and cons. Today, with a world that is more connected, more dynamic and more demanding, this is almost impossible. Therefore, in recent years there is an increased use of think tanks, sounding boards and co-management practices. It is becoming just too much for anyone to handle so much information, and to consider so many variables and possible consequences on their own.

There is, therefore, a strong need to learn and acquire methods and tools that help managers think together, in effective teams.

Historically, Think Tanks were established as institutes, corporations, or groups organized for interdisciplinary research with the objective of providing advice on a diverse range of policy issues and products through the use of specialized knowledge and the activation of networks. They were policy, ideology and strategy focused and used to perceive themselves as serving the public interest. Nowadays, Think Tanks are a synonym for an ad-hoc thinking team tasked with addressing open questions or strategies, and often act as advisory boards. In recent years we see many organizations create Think Tanks to help leadership see a bigger picture and consider additional potential directions and alternatives.

With the rise in popularity of thinking teams, one would have expected a growing number of tools and platforms to support these specific needs, and yet, although we see an increase in the number and variety of collaboration platforms and software, a search for tools, methods and approaches designed to assist with managing the actual thinking, reveals that there are surprisingly few offerings. Most models focus on ‘managing the room’, i.e. facilitating discussions and making sure they are tight and efficient. Several months of experimentation with some of these models taught us that, although they do make the work process easier to manage, there was no significant increase in the quality of the outcomes.

What was missing, apparently, were elements that can improve the thinking process, and through that, the depth, quality and uniqueness of the results.

Through this experimentation, during the past three years, we collected and evaluated dozens of tools and processes. The goal was to not only identify the best tools for the job, but also enable an accelerated but gentle learning curve. We aimed to create a kit that would be easy to use, containing tools and methods that complement each other.

At the end of 2019, in a discussion with one of our clients, an innovation manager for a division in a large international corporation, we conceived the idea of creating and trying out a new model, with the excellent men and women of her division as participants and experimenters. This client had worked with us closely in the prior 6~ years, on many projects and assignments around innovation and future-facing-dilemmas and served as my (best) partner-in-crime for configuring and experimenting this new model. In the three years preceding the project, we had worked together on similar topics, so we were also fortunate to be able to assess and compare results between the use of the new model and the outcomes from previous years.

 

We devised the framework for the program, and with the blessing of their management team, our program was launched. Note that this is unique: that a management team, with eyes on the future and open minds, embraced the program and gave us a green light to be the first (in the world, as far as we know!) to create, learn and apply a method for people to think with others effectively.

It was important for us that the model comply with the following criteria:

  1. Self-activation – a kit that allows the team to manage itself, without need of external guidance
  2. Very short learning curve – The learning process for using the kit must be short (2-3 hours max.) even for team members who do not have prior knowledge or previous experience.
  3. Use a combination of tested tools and methodologies whose efficacy has been proven over the years and are in the public domain.
  4. Efficiency – on the one hand, a variety of tools that meet most needs, and on the other hand, stay loyal to the less-is-more principle. It was easy and tempting to keep adding tools, but the decision was to stay lean and thin and adhere to the optimal and necessary minimum.
  5. Cross-Media – the model could be used in both the physical and the virtual worlds.

After identifying the problems that a Think Tank might encounter, and determining the design principles, we began clarifying needs and characterizing possible solutions.

Our main design principles for the Think Tank kit, which we dubbed the “Operating System” should were that it should:

  • Assist in the process of setting up the teams and in recruiting participants.
  • Train participants to use tools and methods that will have a positive effect on both performance and ways of thinking.
  • Address the diversity and variety of thinking tendencies and characteristics of team members.
  • Provide tools for reflection and meta-cognition.
  • Refer to the thought-process itself and methodologically create answers to open-ended questions.
  • Address operational and logistical aspects of the work process, such as time management and knowledge sharing, as well as supply various formats for collecting and producing results and outcomes.
  • Assist in collecting insights and improving the work with the model itself.

The results were impressive: 15(!) Think Tanks invested their time and brainpower to raise important questions regarding the foreseeable future, and, using thinking processes and design tools, presented their answers and ideas. Our starting point, in this specific case, was a bank of 80+ open questions; some of the questions were presented by the management team, and many others were submitted by employees, when asked to share questions that interest them as they contemplate the next 5-15 years. Once the Think Tanks started to work, they invested very little time to learn the tools and choose their path. Next, each team selected the questions from the ‘Question Bank’ that they wanted to work on.  To do that, we used a concept called ”Fertile Questions“ – a term coined by Prof. Yoram Harpaz, in his remarkable work on Communities of Thinking. Prof. Harpaz helped us formalize a simple process so that the teams were able to create meaningful questions and develop them into concepts and applications.

From an organizational perspective, using this “operating system” yielded the following:

  • Functional teams of experts conducted focused and effective discussions
  • New ideas, that venture beyond current thinking, were created
  • Reports, testimonials, and white papers with practical implications were produced
  • A culture of focused, effective, and efficient structured discussions was established

Yet another set of outcomes was on the individual level – from formal feedback, comments, and discussions, we learned that most participants had a strong and meaningful experience. More specifically, we collected these insights:

  • The work process was easy to understand and follow;
  • The ‘All Included’ kit saved time and efforts gathering tools and knowledge;
  • A strong sense of ownership and team accountability was generated;
  • Higher levels of depth and engagement in collecting, processing and converging data and concepts;
  • Less friction and more flowing team dynamics;
  • More alignment and pride in the teams’ results.

Personally, I am honored and grateful for the opportunity to share the Think Tanks’ story and modus operandi.

I think that this entitles us to announce that we have successfully developed the world’s first Think-Tanks Operating System.

 

How to Optimize both your Innovation Portfolio and your New Year’s Resolutions

Published date: December 29, 2021 в 12:30 pm

Written by:

Category: Innovation,Strategy

Trigger warning: this post is a bit silly. It is silly for two reasons, that I will explain in the sentence after the next. But before that, I want to claim that although silly, it may be worth your while reading the post for one single reason: the simple tool that I describe here is very useful. But, granted, it is silly, because:

  1. It uses as an example the tired cliché of New Year’s resolutions;
  2. Like so many other pieces of good advice, it is simply a piece of your grandmother’s common sense, neatly packaged for contemporary use.

An interesting aspect of the tool I present here, which we call NFS, aka Near-Far-Sweet, is that it was derived by us from a concept presented in the context of education by the Russian sociologist Lev Vygotsky (1896-1934). The concept is called Zone of Proximal Development (ZPD) and it relates (apologies for the simplification) to the level of potential mental development of an individual (in the original context, a child).

Borrowing somewhat loosely from ZPD, observe the process of landing on the right New Year’s resolution when you wish, say, to get in better shape and hopefully shed some weight while you’re at it. These are two versions of an idea that you may come up with:

  1. Take the stairs up to your 3rd floor office every day;
  2. Go out for a 3-mile jog three times a week, and a 5-mile jog every weekend.

Common sense immediately indicates that option 1 is too weak, since climbing two flights of steps once a day or even twice doesn’t really keep you in shape (and even less so if you must first get into shape), while option 2 is very powerful and can probably lead to a dramatic change in your physical conditions. But, alas, the probability that you will stick to option 2 beyond the first two weeks of January are pretty slim, if you can even get yourself to launch the plan.

Ideas of the first type we call Near, the second, not surprisingly, Far, and those we are seeking, are labeled Sweet: What you need is a New Year’s resolution that is far enough from current practices to make a difference, but near enough that it can be viable to implement.

This is the Near-Far-Sweet (NFS) model we use to map out ideas. We often use this model when working with companies on creating their idea pipeline, following an ideation exercise. But, what should one do once ideas are mapped as N or F or S? How can this help in actually creating and implementing valuable ideas?

As part of his Zone of Proximal Development model, Vygotsky also introduced the concept of scaffolding. When we aim to lead a child to live up to their potential, how high should we set the bar? Too low, and we are not challenging them to go beyond the obvious. Too high, and they will probably end up frustrated and lose confidence. The Sweet Spot (mixing terminologies here) is a place in which – with the help of scaffolding – the child can reach the maximum level that their potential allows. In Vygotsky’s educational context, scaffolding very often takes the form of an older person, with the capabilities and motivations to accompany the child on her or his challenging journey to the higher reaches of their potential for development. In the context of product development, we propose that facilitation, with the proper structures, can do the scaffolding job.

Back to your New Year’s keep-in-shape resolution: perhaps not every single day but two or three times per week, and maybe 2 miles rather than 3 may be your Sweet Spot? Better figure it out before you make a commitment,  and even this Sweet resolution will be more attainable if you enlist a personal trainer, or convince a friend and neighbor to join you and thus become each other’s scaffolding.

The next step after mapping your ideas, whether for leisure or work, is to turn your attention to the Ns and the Fs. When working on a pipeline of existing products or services:

  1. Near ideas are often created as variants on existing offerings. They thus tend to be easy to imagine, implement and also communicate to potential customers. But, given their similarity to known offerings, they seldom justify for the customer the cost of switching from their current practices. The objective, therefore, is to push the idea outwards, further away from the current version, and into the Sweet Spot. This can be done by applying tools that break mental fixedness about the current product.
  2. Far ideas are typically exciting for their intended customers, but lacking in a clear path to implementation. Or sometimes, even though they can deliver a strong benefit for the customer, it is hard to communicate clearly what this promise is. In these cases, we utilize the Closed World principle, focusing on resources that are already at our disposal that can help concretize the idea, make it easier to implement or assist in communicating its value.

Much of this is pretty obvious – remember, I warned you – but surprisingly overlooked more often than not, resulting in the following common mistakes:

  • Coming out to market with unexciting ideas, and then lamenting that “80% of product launches fail”. Of course they fail, if what you offer is so more-of-the-same.
  • Giving up on ideas because they’re perceived as not exciting enough in focus groups or other VoC gathering techniques, before giving them a chance by pushing them further out towards Sweet.
  • Giving up on exciting ideas because they either seem to be impossible to realize, or fall by the wayside in the attempt, rather than insisting on making them viable.
  • Trying to launch Far ideas, technically feasible but still out of scope for the imagination of existing potential customers, rather than pulling them inwards to the Sweet Spot.
  • Settling for Near ideas out of fear or laziness, and then brainstorming wildly to produce Far ideas, to prove that you’re “innovating”. And a corollary:
  • Claiming that “we don’t have a problem with ideas, we’ve got plenty of good ideas”, without noticing that this “plenty” is made of Near and Far ideas, with none in the Sweet Spot.

So, if you insist on making New Year’s resolutions, against all odds😊, maybe try some version of applying the NFS principle on yourself, your kids, your pipeline?

Happy New Year!

Innovating to Solve the Pandemic

Published date: December 23, 2021 в 4:49 pm

Written by:

Category: Innovation

First published December 13, 2021.

“Seems that the amount of analysis published about the COVID19 pandemic is inversely proportional to the degree in which most of it can be trusted. So why spend 7 precious minutes reading what a self-professed medical ignoramus purports to contribute to this excess? It’s worth your while, only if you are willing to take my word that the latest Omicron-ic developments are a fascinating case study in the way our thoughts can easily flow down the same old paths, to the exclusion of potentially interesting novel possibilities”

These two paragraphs appeared in the New York Times on December 7th, 2021:

“The Omicron variant spreads quickly, but the resulting infection may be less severe than other forms of the coronavirus. Researchers in South Africa said that their Covid-19 wards were almost unrecognizable from previous phases of the pandemic, with few patients on oxygen machines.

A report from doctors at a major hospital complex in Pretoria, South Africa’s administrative capital, said that coronavirus patients with the variant were less sick than those they had treated before. Most of their infected patients were admitted for other reasons and had no Covid symptoms. The findings are preliminary, however, and have not been peer-reviewed.”

Similar references appear in the media daily this week. The jury, then, is still out, and will apparently deliver its verdict on the dangers of Omicron only within 2-3 weeks. But, for the sake of our thought experiment, let’s imagine that what seems to be is, indeed, the case:

  1. The Omicron variant is way more transmissible than Delta or other variants;
  2. The resulting infection from Omicron is less severe.

Regardless of one’s opinions on the pandemic and its remedies, it is a good opportunity, as a case study, to explore some common assumptions and thought processes one tends to follow more or less automatically, and how they can be challenged.

1) Assumption: The more transmissible a virus, the more dangerous it is for us.

1) Challenging the assumption: Can we decouple the parameters? What if the lethality of the virus would be independent of its contagiousness? What if “the more transmissible the virus” would lead to “the closer we are to solve the COVID problem”? As we will mention in more detail below, the opposite of this assumption is probably mostly the case: more transmissible viruses tend to be less harmful.

 2) Assumption: The virus is the problem. It is only the problem.

2) Challenging the assumption: Maybe the virus is also the solution. How can we use the virus itself to fight the virus? Fight fire with fire.

3) Assumption: Emergence of new variants is always bad news.

3) Challenging the assumption: On the contrary, very probably, the most common path for a pandemic to recede is by mutating to a relatively harmless series of versions through evolution of new variants. Luckily, modern medicine and especially modern hygiene and public health measures, can dramatically lower the cost in lives while this evolution-into-mildness occurs. Meanwhile, it would be beneficial for everyone’s mental health if the global public were not automatically thrusted into catastrophic mode every time a new Greek alphabet letter enters our lexicon.

4) Assumption: Dealing with the virus is a war, and therefore a zero-sum game. Either we kill it, or it kills us.

4) Challenging the assumption: Difficult enough to challenge this assumption (or reflexive position) when confronted with a human rival or enemy, so I can imagine how strange this may initially sound in the context of a virus, but – what if we searched for a win-win solution? A virus thrives and replicates only while its host is alive, so an interest in keeping infected humans alive may be common ground. A live virus, if not too damaging, is the best form of vaccination, in fact, this is exactly what vaccinations used to be about before new advances created alternative technologies – so can this be another interest we share with our “enemy”? A reasonable offer for a truce, from the human perspective, would therefore be: we help you replicate, you refrain from damaging us beyond an agreed-upon level. How could we set this kind of truce in motion, practically speaking? Or, in more scientific-sounding language: can we help less virulent strains evolve to create herd immunity?

5) Assumption: When the number of infections rises, hospitals are “overwhelmed”.

5) Challenging the assumption: Humanity has had 20 months to figure out solutions and has spent trillions of dollars on COVID-related expenses, including more than 50 billion dollars on the major vaccines alone. Can a fraction of these sums of time and money be used to upgrade public health, develop treatment in the community, redirect light cases away from hospitals and design a more robust hospital system that isn’t so easily “overwhelmed”? A good place to start could be improving the ability to distinguish, and help the public distinguish, between cases that require a visit to the hospital and those that don’t.

If we imagine a variant, call it O, which is highly and competitively transmissible, while being (for the sake of our thought experiment) common-cold-harmless, we may consider the following chain of hypothetical events:

  1. Our putative O variant is highly transmissible and relatively harmless;
  2. Authorities everywhere encourage the spread of the O variant, by asking its bearers to avoid social distancing measures, such as wearing masks in public, for example;
  3. A large percentage of the population is infected by O, and is treated for their light symptoms in a calm and efficient manner, without involving hospitals, except for the small percent of those with grave symptoms;
  4. The O variant becomes dominant, edging out Delta and other, more noxious, variants;
  5. The elusive “herd-immunity” goal is achieved at a relatively low cost in health and deaths, and an extremely low financial cost;
  6. The COVID 19 pandemic follows in the spikesteps of the Spanish and other flus, thus ceasing to monopolize humanity’s agenda.

Or, if this optimal scenario fails to play out as planned, and the O variant falls short of overpowering its evolutionary competitors, what about designing variant O* that does succeed in this task? While yet another, even grander jury, is still out on the question whether COVID19 is the result of a gain-of-function experiment set accidentally loose from a lab, maybe the scientific community should devote time and energy to developing a loss-of-function experiment, creating an O*, even more transmissible than O, but much less damaging to humans?

This entire chain of hypothetical events might be totally senseless. There are, as is usually the case when confronting fixedness and well-established assumptions, strong arguments against this type of approach. A key argument can be that the risks involved in letting loose a virus whose mechanisms of action are not very clear are too great. What if we encourage the spread of O and then discover it is actually more dangerous than we thought? What if O* proves to be deadly? What if increasing the number of infected human hosts increases the number of new variants, among them versions that are both more transmissible and more harmful than O*?

These concerns are valid, of course, and I recommend that you go through the exercise of considering how they can be mitigated (they all can, to varying extents). One assumes that at least some of these concerns have also been voiced in one version or another along the 35 or so years since transporting mRNA into cells was first attempted, and more so as the vaccines based on this approach have been deployed. And those concerns may as well have been valid, and yet, here we are, 50+ billion dollars-worth of vaccines into this great experiment. But, meanwhile, these concerns also express another common fixedness: the belief that not-doing, or sticking to the same modus operandi (even when results, as in our case, are mixed) is somehow inherently less risky than doing. Locking up populations in response to the apparition of Omicron is just as much “an experiment” as not locking them up, or even encouraging those infected by Omicron to run around mask-less. Mechanisms unleashed by lockdowns and quarantines and their effects on wellbeing are just as obscure as those that underly viral action, and therefore not less risky. In spite of the risks inherent in acting in this relative dark, steps should be taken, based on what is known. Social distancing, quarantines and even vaccines are all legitimate tools in the toolbox. But selecting not to use them in certain scenarios is a no less legitimate course of action.

Regardless of your views on the pandemic, I invite you not to discard the call to observe your assumptions – COVID-related or others – and challenge them. SIT obviously has no position on COVID related issues, but we do have strong positions on mental fixednesses and how to overcome them. Those who are familiar with the method, and/or have followed some of my articles and posts, may have identified some tools and principles that play out in this post, notably:

  • UDP Chains for Problem Solving
  • Qualitative Change
  • Attribute Dependency

If you are curious, or wish to refresh your memory about these tools, you may want to read “An Effective Tool for Problem Solving”, Part 1, here:

https://www.linkedin.com/pulse/effective-tool-problem-solving-amnon-levav/

and Part 2 here:

https://www.linkedin.com/pulse/effective-tool-problem-solving-part-2-amnon-levav/

Or simply set yourself, with courage and sincerity, the task of reviewing some of your positions while challenging their underlying assumptions. You may find yourself coming up with some exciting novel concepts.

S.I.T. & Read – BUZZWORDS

Published date: December 22, 2021 в 5:05 pm

Written by:

Category: Innovation

Posted by Amnon Levav, Co-Founder and C-IO (Chief Innovation Officer) at SIT – Systematic Inventive Thinking®

Corporate-speak and writing are notoriously laden with meaningless language and buzz. But digital transformation is bringing out the best (or worst) of the genre. This week I received an email from a multinational with a link to, and an excerpt from, a recent interview given by one of their innovation leaders. The first comment to this post is the excerpt that appeared in the mail.

First thing that comes to (my) mind is how generic it all sounds. Except for a hint about the category (“life science experience”) the text could be relevant, as is, to about any business in the world that uses whatever digital device, from a cellphone and upwards. When a shopkeeper in Kenya uses her MPESA to receive payments from her fellow villagers and calculates how many bars of soap she needs to bring from the nearest town next week, she is doing exactly what this longish sentence is touting.

Second, how desensitized must a brain be to not recoil from this densely packed collection of buzzwords. Using data to analyze the sentence we find that out of a total of 36 words, 14-18 are either full-blown overused buzzwords such as “leverage digital technologies” or “digital first mindset”, or regular words set in a mind-numbingly-overused context, as in “using data to analyze and predict what our consumers need”. (Thankfully, not one mention of “disruptive”.)

Third, the recurring fallacy that one can innovate just “by using data to analyze and predict” consumer needs. Data can and is used extensively to predict human behavior, and therefore consumers’, but this is a far cry from creating innovation. It is at best a necessary condition but rarely sufficient.

Reading a few details of the interviewee’s record, she sounds like an intelligent, interesting and even innovative lady. Why then, does a large and resource-rich corporation decide to “quote” her uttering this string of banalities, most probably copywritten by some communications department, rather than make the effort to describe what she does by using real words and sentences that mean something.

One depressing hypothesis is that this really is what corporate readers want to read. Sadly, it appears that in the corporate world there are still many who need to signal to each other that they belong to the same tribe, by repeating formulaic expressions rather than figuring out how to express what they really mean. The effect is doubly ridiculous when this pseudo-communication is conducted in the context of innovation, of all subjects; in this case purportedly to update on “some of the exciting development underway” (my italics).

Basing my opinion on hope rather than data or analysis, I tend and wish to believe that most of us, even those who are guilty of interest in corporate matters, don’t enjoy or want our minds to atrophy through exposure to no-sense-language.

What if we rebelled and refused to play along? I would love to hear your thoughts and suggestions on how this could be done.

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