Decision Fatigue & Dessert

Our brains use glucose just like the rest of our body. However, when our muscles are depleted of energy, we feel it. When parts of our brain are depleted, we may not know it even though it’s affecting our decisions.

Over the last two weeks, two different people sent me this NY Times article on Decision Fatigue. It’s a worthwhile read for understanding the challenges both we and others face when making a difficult decision. The advice to sleep on a decision may not only be about giving your brain time to process the situation but also making sure the parts needed to make the decision have plenty of energy. If we are mentally fatigued we are less likely to make any decision, thereby accepting the default option.

One of the most interesting things about the various behavioral economics research is that we are not always able to fully recognize or understand how our brains are performing — like a faulty machine trying to detect its own error. We need conversations with each other to break out of our own mental models. Recognizing that our perceptions are not perfect can help us improve our decisions — and I guess, so can a good sugary dessert. :)

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The Way It’s Supposed to Be Done

Tom Sawyer may have been ingenious converting whitewashing fences into play, but when he is trying to help Huckleberry Finn free a slave he represents the establishment.

For those that don’t know the story, here is a quick overview: Huck and Jim are running away. Huck from his father, Jim from slavery. Eventually Jim is caught far from home and while his captors search for his owner, Huck happens to run into Tom Sawyer and the two of them set about freeing Jim.

Jim is barely watched and very loosely locked up by a farmer. Freeing him was simple, but Tom doesn’t think that’s the right way to do things. After all, the daring escapes found in books came after many long years of planning and toil. The boys go through all manner of difficulty to make the escape as difficult as possible. For example, after digging a hole under the building which Jim could easily escape out of, they bake him pies with wax to deliver teaspoons to him. Jim needs a stone to carve some messages on, so they have him leave his captivity to help them carry the stone back into his cell. Instead of simply lifting the bed to release Jim’s shackles, they cut the leg off the bed and eat the saw dust (much to the disgust of all three).

Throughout this time, both Huck and Jim question Tom about why in the world they should do all of this. Tom tells them they don’t know nuthin’. Who ever heard of someone escaping by just lifting the bed? That just ain’t the way it’s supposed to be done.

Tom is stuck trying to reenact stories as the model for the way things are supposed to be done. He dismisses any ideas to the contrary. It’s almost painful to read as the answer is so obvious and yet Tom continues to take the most difficult path. But we all do this from time-to-time. We’ve read the books. We’ve heard the stories of other successful companies. Rather than creating our own path, we want to stick to what we’ve heard, what we think is safe. In a world that is changing so quickly around us, what we’ve done before or what we’ve heard may no longer be “the right way”.

We can also be like Huck; we see the simpler solution but give in when the establishment pushes back. In fact, if we’re trying to do anything new, we’re likely to hear people tell us that it’s just not the way it’s done. But this is how new stories get written and how we can find success instead of failure. Sometimes it’s time to kill the sacred cows.

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Too Many Things To-Do

Sometime ago I heard David Allen speak on Getting Things Done (GTD). I’ve since read both of his books and his system is pretty good – keep sets of lists that have everything that you need to get done. When something new pops in your head, write it down. Clear out the accumulating piles of possible actions – papers, meeting notes, your email inbox regularly so you can have clarity about your commitments. Ultimately, this can lead to a very long set of actions that you would really like to take.

But you can’t do it all. Not only that, it can be exhausting trying to figure out how to prioritize which ones you really need to do, especially as the list of items continue to grow. You can get a lot of things done, but it’s hard to know if it’s the right things.

Throw good ideas away, keep only the great

To-do list items can become a lot like the stuff in your garage – forgotten until reviewed, then appear incredibly useful upon review (see below “The Value of Objects”). Almost all of us can come up with a very long list of things we would like to do and it requires significant mental energy to prune through the list and identify the ones that truly need to be done. It can be hard to remove them from the list because they really are good ideas.

This is one of the reasons I really like the philosophy that 37signals has regarding their list of feature requests – listen, consider, then throw them away.

Intelligent Culling

Ultimately, David Allen’s approach of writing things down so you aren’t trying to remember everything in your head is the right approach. It keeps us from being distracted, remembering the things we need to do. At the same time, keeping the lists culled and focused will help you be more willing to go back to them without feeling overwhelmed. It can also help you make hard decisions about which things truly MUST be done, and which are simply good ideas. Culling around what is most important is one of the aspects that I like about the Designing A Balanced Life system.

Ultimately, we don’t need to remember every good idea we ever have because we will be reminded of things that are truly important when we need to do them. Writing down and trying to remember every one of them can be like storing every object you think might have value to you someday in your garage – just lead to lots of clutter and make you not want to go there.

Related Posts: The Value of Objects

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Perpetual Indecision

Remember “The Blob“? The alien creature that consumed everything it touched; it grew with each object consumed, thereby consuming even more. This beast exists in the middle of many organizations. Not as a physical creature, but as the blob of ambiguity.

Using meetings and politics, it slowly covers even the most decisive of employees with a goo of uncertainty. It lands in organizations when leaders are unwilling to make clear their expectations or where people feel they must bring everything to the top for clarification. We all know that putting off a decision feels like not making one which is what makes this blob of ambiguity so sticky. Inaction doesn’t feel like neglect.

An example: Bob and Cliff had a great meeting and Cliff wanted to move forward with evaluating Bob’s product. Cliff decides to check with his staff so he can get back to Bob later that week. At the staff meeting, it was discussed but they ran out of time to make a decision so it didn’t happen that week. Bob hears nothing and sends Cliff an email asking about the status. Cliff reads the email and thinks, “We’ll talk about it at this weeks staff meeting, then I’ll get back to him. ” An emergency subverted that weeks staff meeting, so another week passes. Again, Bob hears nothing. Frustrated, Bob calls Cliff on the phone but can’t reach him because he is in meetings; Bob leaves a voicemail. Cliff wants to get back to Bob but he is right in the middle of fighting this storm and he still isn’t sure what the others, especially his boss, think. Cliff waits for input from the staff and pretty soon Cliff doesn’t want to face that he hasn’t responded to Bob at all so he avoids the problem by not talking to Bob anymore. Perpetual indecision.

How many meetings do we attend without decisions being made? Ambiguity, like the blob, spreads. It starts as a small amount of uncertainty but as individuals build chains — waiting on others — the ambiguity builds. Moreover, people position themselves to win politically, so they don’t make clear-cut decisions thereby spreading the blob. More meetings, more indecision, more ambiguity.

How do we fight the blob of ambiguity? By making decisions. Why are we meeting? To make decisions. As leaders, we have to figure out how to structure the organization to make clear decisions quickly without relying on us to make the call for them.

My friend’s strategy is simple: If an employee asks him a question that they should have been able to resolve without him, he asks what was unclear that caused them not to make the decision without him? He clarifies his thinking process with them, so that next time they can make the choice without him.

Clear decisive action is what we need. This is the motive power of business. Ambiguity is like adding sugar to the gas.

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Live with the Pain

This week I was talking to a guy who had been the CEO of a previous startup; we talked about the ideas I wrote about last week, and he made a couple of additional observations that I thought worth sharing.

When he was CEO, he realized that the number of problems he was going to have to solve were endless. As a result, he decided to tell himself that he needed to “Live with the Pain”. That some problems were simply not worth solving (from a time perspective), even though they caused pain. His team would ask him when a particular problem was going to be fixed and he would respond that it probably never would be solved. As I wrote a couple of years ago, we have a limited amount of focus that we can apply to the various problems that we face and sometimes rather than spending the time to fix a problem, we have to learn to live with the pain of it being unresolved. One way to do this, is not to pay the whole cost emotionally today.

Another principle that he added was that sometimes he would address problems by “timeboxing” them. By this he meant that he would set a specific amount of time that he would work on a problem and as far as he got during that period of time, that was all the time he was going to spend on it. I liked this idea because it keeps you looking for the low hanging fruit that pays off big with little effort. It also keeps the solution space bounded so that you know you need to get to a certain steady state by the time you are finished.

Both are good ways to balance the myriad of problems that leaders face in any entrepreneurial activity.

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What “Fail Fast, Fail Often” Means

What if we have so many customers knocking down our door that we can’t support them all? What if our support is so bad, they never come back? We should build our company and technology for that day, just in case. This hypothesis keeps companies overbuilding their product for an eventuality that will probably never come. Most “overnight” successes take years to create, but this fear of too much success, persists.

The two most critical resources for a startup are time and cash. The more time you spend in building something, the less time you have for trying something else. If you spent too much time overbuilding a piece of technology, you lose out on the ability to build something of more value. Moreover, most technology development follows the 80/20 rule: The first 80% of functionality takes 20% of the time. The final 20% of polish takes 80% of the time.

Ultimately, I think this is what the mantra “Fail fast, fail often” is really about. It’s not so much about the value of failure itself, it’s about being willing to face the fear of shipping.  It means putting out incomplete work and getting some experimental results, even if it means learning that you need to do something different. Once you get confirmation that you’re on the right path, that’s when investing and executing on the remaining 20% will pay off huge.

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The Know Nothing

In a study, participants were asked to estimate something about their own ability. They overestimated. Others were told that statistically every person overestimates their ability, then they were asked to make the estimate. They still overestimated their ability, BY THE SAME AMOUNT. In other words, they told themselves, “Yes, other people don’t think clearly about this, but I do.”

We perceive the attributes of others as different from ourselves. This is like the joke about the difference between a recession and a depression. A recession is when your friend loses their job. A depression is when you lose your job. We separate ourselves from others in our perception.

I love to better understand the world around me. I’m continually studying systems of thought, how things work. From the time I was very young, I was curious where all of the pipes and vents went in lofts. My favorite book as a kid was “How things work?”. I’m insatiably curious. Yet, with all of the reading that I do, I’m more and more convinced just how little I know – not just facts, but how little I perceive. I know that when I’m upset at someone, I have selective memory. I know I can’t recall in those moments all the time they haven’t acted in accord with whatever judgement I’m passing on them. But it’s not natural to question what our emotions and even reason are telling us.

Ultimately, I’m fascinated by our cognitive biases, but I don’t want to be the guy that assumes the cognitive biases only affect others, they affect me too.

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The Beach Vendor Sales Cycle

There are certain fundamentals of business that can be observed in almost any environment. Today, at the beach in Manzanillo, Mexico, a wide variety of vendors walked passed us, each selling wares that were quite varied: donuts, candies, mangos, tamales, blankets, wooden statues, bathing suits, jewelry, temporary tattoos, and even rubber chickens. All day long they pace the beach hoping for a buyer. Typically, they pause for a moment and briefly give their best pitch. Most, by default, respond “No, gracias” or simply ignore them. The sellers continue their pacing.

Eventually, they sell something (though I do have to wonder who buys a bathing suit at the beach). The process is an acceleration of the typical sales cycle. The first time the vendor stops by, it’s mostly marketing. The buyer isn’t even aware rubber chickens are for sale, now they are. As the vendor walks away, the buyer now considers who they might give a rubber chicken to or whether they would really like one for themselves. The seed is planted, time passes, and the seller comes by again to see if the harvest is ready.

It’s interesting that the same cycle is reflected both in small decisions (maybe a mango does sound good) to more complicated sales processes. First we build awareness, second we allow the buyer to evaluate/educate themselves, and finally, a decision is made. We can do it with intent even though I’m guessing most street vendors are not spending their time pacing, thinking about their business cycle, but who knows, maybe they are.

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Blind Spots

All of us have a blind spot where our optic nerve exits the eye. So why do we not have a floating black spot in front of our eye? Because our eye covers over and fills that area, so that we can’t see the gap. We are blind to our own blind spots. (If you’ve never experienced this effect you should try it out here: Find Your Blind spot).

Our mind is constantly creating closure – even when there are gaps in the world, we still fill in all the pieces that we need to have things make sense. We all have blind spots related to our own introspection as well for this very reason.

Along time ago, I confronted a friend on whether he was really able to put himself in another’s shoes and understand how his statements would be interpreted by them. There was a class of people where he would say things that drove them away. Rather than recognize this, he instead responded that he considered this ability one of his strengths. It was eye-opening to me about the challenge of our blind spots. We are blind to them.

We all have a desire to prove our perception of the world as valid. We look for confirming evidence. We think about ourselves and how we want to act with others, and create closure. We want it to all make sense. Yet in this process we can become blind to our own errors to the detriment of ourselves and others.

We are blind to our blind spots. If we are confronted by the perception of others, even if it seems entirely at odds with our own perception, we need to be careful not to simply gloss over our own blind spots.

[Seriously though, if you haven't tried finding our own blind spot you should check out the website above. Once you learn more about it, if you're ever in a meeting and you're bored you can make people's heads disappear. :) ]

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Aligning Incentives: Preferred vs Common Stock

 

An investor friend of mine posted on his blog this question:

This week’s sign of tech bubble: multiple seed-stage startups demanding investors buy common stock instead of preferred. Thoughts? I have strong professional opinions on this and will draft a full blog post on the topic, but thought I’d crowdsource some input first…

Every start-up business that is looking for external funding has three basic outcomes:

  1. The business becomes wildly successful and is bought or goes public at a valuation that is many multiples of its original value.
  2. The business runs out of cash and must be sold in a fire sale/bankruptcy
  3. The business barely reaches a positive cash flow allowing it to stay in business indefinitely, but without much prospect for growth. I’ve heard this affectionately called “the walking dead” by several investors.

Investors are motivated to put their money to work. By putting their money in the hands of skilled entrepreneurs that can turn that money into more money. entrepreneurs are interested in building a successful business AND turning their time into more money. When investors and entrepreneurs partner together, the goal is to align motivations across the three various outcomes.

Preferred stock gives the investor certain additional ‘preferences’. These typically cover cases #2 or #3 in the above scenarios. For example, if an investor puts in $1M for 30% of the company and the company sells in a fire sale for $2M, the investor has the right to get his $1M back first instead of the $600K that he would receive as his pro-rata share. Better explanations of the variants on this can be found over at AVC.

The primary motivation behind preferred stock is to protect the investor in the case of an unsuccessful outcome. The reasoning typically given goes something like: employees used the money of the company to get paid their salary but were not successful in turning the business into a profitable entity, therefore the investors should be entitled to their money back in the case of fire-sale.

There are four possible flaws to this argument:

  1. The argument ignores that employees are also investing their time in the enterprise. This time could be spent in other endeavors. Typical startup salaries are less than in a large enterprise, so the employee is also investing the difference in his earning potential (the difference between the money he will make, and the money he would have made elsewhere).
  2. It assumes the entire responsibility for the business succeeding or failing depends on the work of the employees. Since it’s possible for unforeseen issues that are out of the control of employees to take a business down, they should not carry the full weight of that outcome.
  3. It assumes the employees need investors to build the business. If investors are having a hard time finding opportunities to put their money to work, or the opportunity is so strong that the risk of outcome #2 and #3 is low enough, it doesn’t make sense to add the complexity that comes with different kinds of stock.
  4. It assumes that VC’s will make judicious use of their preferences (or more accurately, are focused on aligning motivations as partners not trying to secure an aggressor/victim relationship)

In the end, the question is about negotiating incentives that cause everyone to focus on outcome #1 as the ideal while still mitigating risk for all parties in the outcomes #2 and #3.

In the case of argument #1, the problem here is whether or not the salary being paid to the employee is greater than other opportunities might provide. If that is the case, then there is a strong motivation for them to make this into a lifestyle company (outcome #3) rather than taking the risks that are needed to result in outcome #1. If the salary is significantly less than other places, then the employees are also motivated to outcome #1. (I would expect to see this kind of structure in any “everyone owns common stock” deal).

I could see entrepreneurs wanting to make argument #2 but I don’t think it’s a very strong argument for aligning motivations. If you couple this argument with an overemphasis on “fail early, fail often”, it likely leads to far more #2 outcomes, where the employees would still reap some reward for their failure.

The third argument is probably the most indicative of a tech bubble. If investors can’t find enough qualified places to put their money, then entrepreneurs can select their pick. It is obviously in their interest to own the same kind of stock as the investors. Ultimately, it is becoming easier and easier to start companies without additional capital (especially at the seed stages).

The fourth argument is probably the reason this is getting requested. Similar to the point I made on the challenge of pricing , because VC’s have a reputation of abusing entrepreneurs that don’t know better, they are now reaping the reward of this reputation. Namely, that the entrepreneurs don’t want to trust that VC’s will make judicious use of their preferences.

When you couple the reduced need for external capital with the abuses of VC’s, I can see why entrepreneurs are looking to change the motivation calculus at the onset.

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