Shipulski On Design

Posts Tagged ‘Problems’

When engineers see a big opportunity, we want desperately to move the company in the direction of our thinking, but find it difficult to change the behavior of others. Our method of choice is usually a full frontal assault, explaining to anyone that will listen the opportunity as we understand it. Our approach is straightforward and ineffective. Our descriptions are long, convoluted, complicated, we use confusing technical language all our own, and omit much needed context that we expect others should know. The result – no one understands what we’re talking about and we don’t get the behavior we’re looking for (immediate company realignment with what we know to be true).  Then, we get frustrated and shut down – opportunity lost.

To change the behavior of others, we must first change our own. As engineers we see problems which, when solved, result in opportunity. And if we’re to be successful, we must go back to the problem domain and set things straight. Here’s a sequence of new behaviors we as engineers can take to improve our chances of changing the behavior of others:

Step 1. Create a block diagram of the physical system using simple nouns (blocks) and verbs (arrows). Blue arrows are good (useful actions) and red arrows are bad (harmful actions). Here’s a link to a PowerPoint file with a live template to create your own.

Step 2. Reduce the system block diagram down to its essence to create a distilled block diagram of the problem, showing only the system elements (blocks) with the problem (red arrow).For a live template, see the second page of the linked file. [Note – if there are two red arrows in the system block diagram, there are two problems which must be solved separately. Break them into two and solve the first one first. For an example, see page three of the linked file.]

Step 3. Create a hand sketch, or cartoon, showing the two system elements (blocks) of the distilled block diagram from step 2. Zoom in so only the two elements are visible, and denote where they touch (where the problem is), in red. For an example, see page four of the linked file.

Step 4. Now that you understand the real problem, use Google to learn how others have solved it.

Step 5. Choose one of Google’s most promising solutions and prototype it. (Don’t ask anyone, just build it.)

Step 6. Show the results to your engineering friends. If the problem is solved, it’s now clear how the opportunity can be realized. (There’s a big difference between a crazy engineer with a radically new market opportunity and a crazy engineer with test results demonstrating a new technology that will create a whole new market.)

Step 7. If the problem is not solved, or you solved the wrong problem, go back to step 1 and refine the problem

With step 1 you’ll find you really don’t understand the physical system, you don’t know which elements of the system have the problem, and you can’t figure out what the problem is. (I’ve created complicated system block diagrams only to realize there was no problem.)

With step 2, you’ll continue to struggle to zoom in on the problem. And, likely, as you try to define the problem, you’ll go back to step 1 and refine the system block diagram. Then, you’ll struggle to distill the problem down to two blocks (system elements). You’ll want to retain the complexity (many blocks) because you still don’t understand the real problem.

If you’ve done step 2 correctly, step 3 is easy, though you’ll still want to complicate the cartoon (too many system elements) and you won’t zoom in close enough.

Step 4 is powerful. Google can quickly and inexpensively help you see how the world has already solved your problem.

Step 5 is more powerful still.

Step 6 shows Marketing what the future product will do so they can figure out how to create the new market.

Step 7 is how problems are really solved and opportunities actually realized.

When you solve the real problem, you create real opportunities.

The problem tree is big, old, and rugged with a fully developed branch network and the deepest roots. And nestled in its crown, set directly over the trunk, is the hidden tree house where the problem solvers play.

The problem tree has a left and right, with its why branches to the right and why-nots to the left. To the right, the biggest why limbs grow from the trunk then split into a series of smaller why branches which terminate at the why leaves. It’s the same on the left – big why-not limbs, why-not branches, why-not leaves.

To start their game, the problem solvers first agree on the biggest why limbs – the main reasons why to solve the problem. Once labeled, the team asks why again, and builds out the why side of the canopy – narrowing as they go. They continue their hierarchical why mapping until they get to the why leaves – the lowest-level whys. The last part is most tenuous because as the branches get smaller they can’t hold the weight and they sway in the political wind. But as the organization watches impatiently, the problem solvers know they must hang onto the smallest branches and stretch themselves hard to reach the leaves.

Once the whys are mapped the solvers know why they must solve the problem. They know who wants it solved (the biggest branches can have their own sponsor) and how the whys (and their sponsors) compliment or compete. And where the rubber meets the road (leaf level), they know why it must be solved – think manufacturing floor. Like a spider web, the why network sticks the solvers to the right problem.

Novice solvers think their ready to solve, but the seasoned climbers know it’s time swing on the wild side. It’s time to climb where few dare – the politically charged left side – the why-nots. Slowly, carefully, the climbers step from the safety of their tree house and explore why the company cannot, has not, or may not want to solve the problem. There are usually three big why-not branches – constraints, capability, and culture.

When the solvers shimmy out on the constraint branch, they usually find the smaller no-time-to-solve-it branch, with its leaves of – existing operating plans, product launches, other big problems, unfilled open positions, and reduced headcount. Though real, these branches are tough to talk about because the organization does not want to hear about them. And, sometimes, for all their dangerous climbing and shimmying, the solvers are accused of not being team players.

Their climb on the capability branch is challenging, but not for its complexity. There’s usually one branch – we don’t know how to do it, with a couple leaves – we’ve never done it before and we don’t do it that way. The capability branch is difficult because it causes the organization to overtly admit a fundamental gap. Also, it threatens the subject matter experts, who are important to the solution.

The culture branch is toughest of all. Its limbs can be slippery and sometimes have cover names (so it’s difficult for me to list them), but thematically, the best climbers know the branches represent the worn patterns of company behavior. Often, the behaviors (and the climate they create) have not been formalized, and shining a light on them may is too bright for some. But when the solvers find a why-not branch that cuts across one of these worn cowpaths, that’s just what they must do. Because without changing the behavioral pattern, there can be no solution.

With the problem tree fully built-out on a single page, it’s clear why the problem should be solved and what’s in the way (why-not). And when the solvers present it, the company decides if the whys are important enough to overcome the why-nots. If it’s a go, the first step is to prune the why-nots – resources to solve the constraint problems, tools and training to improve the capability problems, and a change in leadership behavior to solve the cultural problems. After those are taken care of, the problem definition phase comes to a close.

The problem tree defines the problem, it does not solve it. But through the process of building it out, the problem solvers (problem definers) help the company clear cut the forest of why-nots. Now, standing tall, standing alone, clearly seen for what it is, solving the problem is a breeze.

Problems get a bad rap. We’re all clear on the negativity around problems, but we don’t appreciate their positive character. It’s time we use their powers for good.

One of the least popular characteristics of problems is their selfishness. Like the friend who shows up for dinner unannounced, problems, left to their own, care only about their calendar. But to overcome this shortcoming and harness their energy, we can create them to fit our time table.

An important strong suit of problems is their ability to create focus. When the VP has a problem, everybody has a problem. And it’s this persuasive power of problems that focuses the organization on a solution – resources, alignment, and creativity on demand.

I propose we bring problems to life on our own terms to create new thinking; to creatively fabricate problems to generate laser-focused thinking in the direction of our choice; to imagine what could be and create the right problems to get us there. Creativity on demand.

The most provocative and productive problems to manufacture are those that remove inherent goodness of your products or that outlaw their physical fundamentals. Like putting your thumb over a hose, these problems spray high velocity thinking in unpredictable directions. Here are some examples:

1. Big coffee pot can make only one cup – single-cup brewer industry.
2. Speedboats cannot carry multiple passengers – personal water craft industry.
3. Lights must illuminate only a small area – LED proliferation.
4. Sturdy running shoes must be floppy – bare foot running shoe movement.
5. Desktop computers must be mobile – laptop industry.
6. Stiff, wear-like-iron dungarees must be worn out – faded/distressed jean movement.
7. Eye glasses cannot rest on the nose – contact lenses.
8. Pencils cannot be sharpened – mechanical pencils.
9. Laser printers must be slow – home printer industry.

Sure, these examples were reverse engineered. But take a minute to walk back in time and sit in those industries. What if back then you created those problems for yourself? What if you create them tomorrow?

The thinking in the post is strongly shaped by Jeffrey Paul Baumgartner’s Anti Conventional Thinking (ACT).

In the last post on innovation I said I’d provide data on number of hits for a post with innovation in the title.  Well, apparently the word recession is more relevant than the word innovation as there were 50% more hits with recession.  Next time I should use both recession and innovation in the title and see what happens.

In the last post on innovation I left off with the notion of an operational definition as a way to assign meaning to the word innovation.  I ended with a question — can you put your hand over your mouth and point to innovation?  In other words, what can we observe to bring innovation into the range of our experience?  Starting with the state of things before innovation – what does it look like?  And what about the state of things after innovation – what does that look like?  And what does it look like to transition between the states?

Starting simply, the state before innovation is defined by a symptom statement, an ill-defined, un-actionable statement of something undesirable.  It has not yet risen to the level of an actionable problem statement, but clearly there is a realization of an undesirable situation.  Here are several examples of symptom statements. Read the rest of this entry »