iPhone

During the last quarterly earnings call, Tim Cook said that Apple has seen the highest switching rate from Android ever. That there is switching isn't surprising. We've seen many surveys which show higher loyalty with iOS than with Android. But it's been very hard to spot the evidence in the data which is visible publicly. Both iOS and Android are adding users and sales for both platforms are still increasing.

The switching effect is easier to discern when the market is not growing overall. In that situation one platform's growth has to be at the expense of another. However, some markets do show evidence of "churn" in users.

Consider the ComScore data on US platform users (above). If we look at the last six months' data ((these data are actually three month averages)) we can count that there are about 8.2 million more Americans using iPhones than there were six months ago. At the same time, there are 1.6 million Android users. One million users left the BlackBerry platform and about 700,000 left Windows Mobile. The data also suggests that the total number of first-time smartphone users is about 8.3 million.

Now, we could say that Android recruited all the Windows and BlackBerry users that switched (1.6 gained equivalent to 1.7 million lost) and Apple recruited all the new-to-smartphone users (8.2 million gained by Apple vs. 8.3 million non-consumers).

But this is not very plausible. It's much more likely that Apple converts existing smartphone users while Android converts first-time users.

In this scenario, 8 million non-users first started using Android while 1.7 million BlackBerry and Windows users switched to iPhone. But that leaves the question of what happened to the missing 6.3 million that Apple should have gained.

That's where the switching number comes into the picture. This Scenario 2 is shown in the figure above and suggests that although Android gained 8 million new users, it lost 6.4 million to iPhone for a net gain of 1.6.

Apple may have also lost a few users to Android but overall gained switchers from other platforms, mainly Android. This is what would support Tim Cook's comments.

Thinking further ahead, as the markets mature globally, they may well evolve into the way the US market evolves today. Apple's brand promise ensures loyalty while competing platforms slowly "leak" users. If this sounds eerily familiar then you'd be right. This is exactly how the PC market behaves today.

The fact that the iPhone is contributing over 90% of the operating profits in mobile phone sales has penetrated even as far as the Wall Street Journal. However, it's not yet commonly known that the Mac captures a majority of personal computer operating profits, at least when considering the sale of hardware.

My calculations suggest at least 60% of operating margin in personal computing hardware is captured by Apple. This is mainly due to the fact that the average Mac sells for more than $1200 while the average PC sells for less than $450.That is equivalent to $1.5 billion per quarter for Apple vs. $930 million for all the other PC makers combined.

If we are to consider the iPad as a "PC equivalent" computer ((for a substantial minority of tasks)) then another $billion/quarter is contributed to the profit pool. It increases Apple's share of profits to 73%. As a result, Apple absolutely dominates computing profits.

But, as we know, computing, even on handheld devices, is enabled by a multitude of business models. Selling hardware is one thing, but Microsoft showed that one could sweep up profits in the industry by selling enabling software. It's much harder to assign a share of profits if we try to consider all the business models associated with computing and all the form factors that computing has taken shape in.

The problem can be acutely observed with the iPad alone. It's sold with a decent margin ((my estimate is a gross margin of around 27%)), though not one which approaches that of the iPhone ((my estimate of the iPhone gross margin is near to 48%)). It also enables an ecosystem with thousands of collaborating firms and users.

Consider the uses of the iPad in education. 15 million iPads were sold to educational institutions. An unknown number of millions have been hired for education uses by end-users or teachers. The result is over 100,000 education apps are available in the App Store.

The education sector's "jobs-to-be-done" has led to the product being associated with entire new processes for education. Education is not a product but a process and therefore any technologies must be hired as part of the process. In the App Store you can see the “Apps in the Classroom” guides along with impressively powerful apps being used in education. These are educator-created guides designed for other educators.

There is no way to measure the "profit" in this endeavor.

Nor is there a way to capture the "profit" in people engaging in exercise because they wear an Apple Watch.

Nor is there a way to track the operating profit of HealthKit which has enabled 1000 apps to help people manage their health.

These education and health efforts are not designed to be profitable. And yet Apple is very profitable. That is because creating valuable things generally leads to value being accrued by their creator. How that happens is not very important. Indeed, focusing of the how is actually often self-defeating. What matters is the why and the what is done.

Understanding this leads us to understand the foundation of any great organization, not just Apple.

 

Katy Huberty (Analyst - Morgan Stanley): You've said in the past that the watch may take longer to ramp given the new category and new interface to customers. Is that, in fact, playing out? Is the watch ramping slower than past product categories?

Tim Cook (CEO): Katy, when you use the word ramp, do you mean from a -- I assume you're talking about supply?

Katy Huberty (Analyst - Morgan Stanley): Yes. Pre-orders and first week in sales and any other data points that you track in terms of interest versus, say, when the iPad launched in 2010?

Tim Cook (CEO): Let me talk about supply and demand and sort of separate those two. Right now demand is greater than supply. And so we are working hard to remedy that. ((This is still true today, three months later))

We've made progress over the last week or so and we're able to deliver more customers an Apple Watch over the weekend than we had initially anticipated. We're going to keep doing that. […] So I'm generally happy that the -- that we're moving on with the ramp.

It is a new product for us, and with any kind of new product, you wind up taking some time to fully ramp.

Having said that, I think we're in a good position. And by some time in late June, we currently anticipate being in a position that we could begin to sell the Apple Watch in additional countries. And so that's our current plan. ((This has been achieved according to plan.))

From a demand point of view, it's hard to gauge when you don't have product in stores and so forth. And so we're filling orders completely online at the moment.

The customer response from people that have gotten theirs over the weekend have been overwhelmingly positive. And we're far ahead of where we expected to be from an application point of view.

To give you a comparison, when we launched the iPhone we had about 500 apps that were ready. When we launched iPad, we had about 1,000. And so our internal goal was to be able to beat the 1,000 level and we felt -- we thought it would be great if we were able to do that by a little bit.

And as I've mentioned before, we now have over 3,500 apps in the App Store for the Watch. And so we couldn't be happier about how things are going from that point of view.

We are learning quickly about customer preferences between the different configurations. There's a much larger breadth of possibilities here for customers than in our other products. And in some cases, we called that well and some cases we're making adjustments to get in line with demand.

But I'm really confident that this is something we really understand how to do and will do. And so I'm really happy where we are currently and happy enough that we're looking forward to expanding into more countries in late June.

[…]

Gene Munster (Analyst - Piper Jaffray and Co.):  …question for Luca, in terms of any thoughts on what the margin impact from the Watch as that ramps over the next couple of years?

Luca Maestri (CFO): Apple Watch is, not only a new product, but it's a brand new category with a lot of new features, a lot of new innovative technologies. And Apple Watch margins will be lower than the Company average.

[…]

Toni Sacconaghi (Analyst - Bernstein): I just wanted to revisit the watch.

Tim, I think you said when you were talking about your new products, you said we're, quote, very happy with the reception. And in response to a previous answer you said, relative to demand, it's hard to gauge with no product in the stores.

I would say relative to other product launches where your commentary around demand was characterized by superlative after superlative, that assessment feels very modest. And part of the reason that I ask is, A, are we reading you right in terms of that? But if we look at consensus, consensus is expecting that Apple will ship more watches in its first two quarters than it did iPads, despite, as you said, very limited distribution in terms of only selling through your stores.

So I'm wondering if you can talk a little bit about putting those demand comments in context, given that they do seem different from how you've characterized product demand for other products. And how, if at all, we should think about the modeling demand in the context perhaps of the iPad, which was your most recent significant new category? And then I have a follow-up, please.

Tim Cook (CEO): I'm thrilled with it, Toni. So I don't want you to read anything I'm saying any way other than that. So I'm not sure how to say that any clearer than that.

And in any situation, whether it's the watch or in the past on iPad or on iPhone, when demand is much greater than supply, it's difficult to gauge exactly what it is. And so, as you know, we don't make long term forecasts on here. We maybe forecasts for the current quarter. And so I don't want to make any comment about the consensus numbers.

Honestly, I haven't even studied those. We've got enough to think about here.

I feel really great about it. The customer response, literally from what I've seen, is close to 100% positive. And so it's hard to imagine it being better.

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Excerpts from Apple Earnings Report: Q2 2015 Conference Call Transcript, April 27, 2015.

For the first time in many years I feel that there is some potential uncertainty in the results Apple will announce. After a period of excellent accuracy (shown in graph below), the company's guidance has begun to diverge dramatically from reality and the trend might continue this quarter. The cause might be unanticipated demand for the iPhone 6/6 Plus. The growth rate for the product was 46% in Q4 and 40% in Q1. This is unanticipated because growth rates have been below 20% for five quarters and below 50% for eight.

This slowing of growth was explainable given the rate of diffusion of smartphones in the global population. Within the US and some other early adopting economies the market is reaching late stages where most people have switched to smartphones. Globally we are at a more modest 30% or so but in many of the late adopting economies Apple does not have wide distribution.

Of course this thesis is thinly supported. There are many reasons to think that late adopters would still start with iPhone and that earlier adopters of Android would upgrade to iPhone after a few purchase cycles. Thus, the iPhone could prosper in later-adoption or even in post-saturation states of the market.

Indeed, in the post-saturation PC market, Apple is doing very well with the Mac and in the late to post-saturation MP3 player market the iPod did extremely well. This suggests that when it comes to value capture brand, experience and satisfaction trump function, price and share considerations in almost all consumer markets ((Enabled by design for jobs to be done. See non-technology markets for abundant evidence of this. ))

With so many assumptions put asunder the iPhone business suddenly looks downright lively. I adjusted my own growth assumptions and the resulting figures are shown below.

 

F3Q15		Daniel Tello	Horace Dediu
iPhone	Units	51.0	52.8
	Price	626	645
	Revenues	31925	34059
iPad	Units	10.0	10.6
	Price	428	430
	Revenues	4280	4567
Mac	Units	4.95	4.94
	Price	1240	1240
	Revenues	6136	6129
Services	Revenues	5006	5196
Other	Revenues	3902	3092
Total	Revenues	51249	53043
	COGS	30577	31766
	GM	40.3%	40.1%
	OpEx	5733	5789
	OpInc	14939	15488
	OI&E	357	350
	Pre-tax	15296	15838
	Tax	4023	4165
	NetInc	11273	11673
	Shares	5779	5780
	EPS	1.95	2.02

 

I include for comparison Daniel Tello's forecast as his work carries quite a bit of thoughtful analysis.

The upshot of this is that the company is poised to grow earnings per share at a rate of at least 50%!

That growth rate is astronomical, especially for what is already, by far, the world's biggest company by market capitalization.

This was not supposed to happen because of a so-called "law of large numbers." The "law" is actually a probability theorem which states that the average of experimental results should be close to the expected value given sufficiently large number of experiments. The way it's applied in market analysis (I assume) is that "no company can perform above market average performance for a sufficiently long time".

It implies that there can be no outliers and that all companies "revert to the mean because ..."

Actually, I don't have any idea why they might. The premise that all companies are the same must play into this but companies can only be alike if they have the same processes, priorities and resources. As long as I've been able to observe and as much as I've ever read on the subject I have never encountered any two which had anything in common.

And so the law of large numbers, as applied to market performance is a myth. It is easily disproved with a simple deconstruction into the causes of firm performance, but the empirical data from Apple alone shows how foolish it is to believe it.

Eric speaks with blogger and Apple/disruption analyst Horace Dediu about when the iPhone will be disrupted, why a purely ad-based business model is problematic, and how he became one of the top tech bloggers

We know how many iPhones Apple ships but we don't know exactly how many of each model. We can try to come close in such estimates of "mix" by looking also at the market pricing of the phones and the average price Apple obtains ((ASP = Revenue/Units shipped. However, note that there are deferrals in revenue as part of this.))

Combining what we know with some guesses allows some of us to estimate the composition of iPhone models in any given quarter's sales. Here is a graph showing my estimates:

 

Having this, we can then assess how each generation of iPhones has performed. Remember that although we had a new iPhone for each of the last eight years, there are only 5 generations in total. Starting with the 3G (second generation) the generations were two yearly product cycles long.

The resulting estimates for generational growth are shown below. 

I included a second graph with revenues. Note that the iPhone 5 and iPhone 6 have not run their course. History suggests at least a five year run for any one generation and the 5 is at less than three years old and the 6 is at less than one.

The interesting question is therefore not whether each generation sells more than its predecessor but whether it does so by a substantial multiple. I drew in outline a few estimates on future volumes for the 5 through its end of life and for the 6 for the current and next year. Of course these are highly speculative but the question of how much can be expected from these generational leaps is interesting.

Recall that

When assessing sales for a new model of the iPhone, Apple used an easy shorthand: "Each new generation sold approximately equal to all previous generations combined."

Phil Schiller's Testimony in Apple v. Samsung trial

Such a pattern of growth, which I call "Schiller's Law" is extremely difficult to maintain and probably won't apply in the case of the 5 or 6. However the growth of the overall franchise is very apparent. In particular you can see how first year sales have a very healthy pattern of growth, especially when measured in terms of revenues.

 

Searching for "iPhone killer" returns millions of hits. It's hard to remember any phone/product/service/platform/initiative/merger/startup which was not at some point considered an iPhone killer. A sampling is offered here.

In reality, the killers seem to have all faded away while the iPhone continues. We could just shake our heads and move on, but a deeper analysis is possible. Take a look at the graph above. Note that iPhone's (and hence Apple's) ascent has not caused decline in its nominal competitors. When seen in the context of the graph above, the success of the iPhone has in fact been complementary to those companies who would be its killers.

Consider that the iPhone drives a large portion of Google's revenues as it is the home to many Google services and engagement through the iPhone is higher than any other platform, including Google's own. iPhone users tend to make better customers. In exchange Google pays a great deal for traffic acquisition on iOS devices. The placement of search on Safari is probably the biggest single cost item on Google's income statement ((Estimates are a few billion dollars a year.))

The iPhone example drew Google to build Android as a facsimile and that, coupled with Brobdingnagian spending on marketing, led to Samsung's Galaxy success. That success seems to have peaked and the brand is now a victim of low-end disruptors which copied it and the iPhone in turn. However, Samsung electronics benefits from the iPhone in terms of its semiconductor division. Apple is Samsung's biggest customer and the semiconductor division is now the largest source of operating profits.

The explosion of Android has led to IP licensing revenues for Microsoft and now Microsoft is extending its software applications to iOS, hoping to participate in the iOS ecosystem rather than competing with it. The time may come when Microsoft shows growth from the iPhone.

Finally, although it may seem oblique, Amazon is benefiting from the iPhone. Instead of killing it with the Fire ((presumably as a low-end disruption)), the iPhone and iPad offered much more mobile shopping opportunities to the Amazon store. Data shows that iOS leads in shopping traffic and order size precisely at a time when Amazon obtains its largest volumes. Amazon's AWS also handles a great deal of iOS-originated traffic.

This alternate reality shows that the benefits from the iPhone revolution are broad and deep. It's not just the direct revenues (($25 billion paid so far)) from app sales on the App Store but also the creation of entire new communications modalities (Instagram, Snapchat, WhatsApp) new services (Uber, Airbnb) and the multi-billion dollar accessories markets. These benefits are largely unmeasured and therefore not visible in accounting systems. They are perceivable however.

Users perceive the value, developers perceive the value and, in the end, the only account that matters, the brand, accrues these perceptions to grow in value.

As the brand flourishes, the perception of vulnerability dissipates and the narrative shifts from Apple getting killed to killing it.

It's taken eight years and 500 million loyal users but, perhaps, just perhaps, this change in perception is entering the collective consciousness.

 

Before its launch, I said that the Apple Watch would be as much a watch as the iPhone is a phone. Recall that when the iPhone was launched it was anchored on three tentpoles, one of which was being a phone and that when the Apple Watch was launched it was also anchored on three tentpoles, one of which was being a watch.

Realizing that on the iPhone the "phone" is but an app — one which I find populated with FaceTime calls rather than cellular calls and whose messaging history is filled with iMessage threads rather than SMS — I consider it safe to say what the iPhone is today not as much a phone as a very personal computer. And so the question is whether the Watch will quickly leave behind its timekeeping anchor and move into being something completely different.

I had the chance to use the Watch for a few days and can say that timekeeping is probably as insignificant to its essence as it's possible to be. It feels like a watch in the physical sense, looking good in the process (as the iPhone physically felt like a phone, also without being hard on the eyes)

However it does not feel like a watch conceptually. I find myself drawn into a conversation by its vocabulary of vibrations. I find myself talking to it. I find myself listening to it. I find myself glancing at information about faraway places. I find myself paying for things with it. I find myself checking into flights with it. I order transportation, listen to news, check live data streams and get myself nagged to exercise. It tells me where I am. It tells me where to go. It tells me when to leave.

Nothing ever worn on a wrist, or anywhere else for that matter, has done any of these things before. Not only are these things mesmerizing but they are done in a productive way on a wristwatch. In other words they are done in a mindful way.

Cynics may say it does too little. Philistines may say it does too much. But for me it does just what I want it to do when I want it done. The things which are not done stay out of the way. This discretion is just as important as the effectiveness of action.

Even more remarkably, this tasteful minder is offered not to a fortunate few but to millions of people of average means. In the true sense of technological democratization, Apple Watch is a phenomenon for mass consumption.

Its launch needs to be understood as a watershed event. It could be compared to the launch of the Mac or the iPhone but it is different as much as it is the same.

The product has a completely different character. It tries not to do more but to do less. But that which it does is more meaningful, more thoughtful. We talk of computing speeds and network feeds but we spend much more time and money to visit people who have little to say and say it slowly. We value charm and wit more than bandwidth and throughput. We are drawn to beauty more than to speed. This is what this computer captures.

A maxim of the computing of the 21st century is that the closer the machine is to us the more we value it. It does not get rewarded for being fast but for being a companion. It does not get valued for features but for beauty. It does not get hired for power but for control. It does not get worn because it's smart but because it's clever.

People understand these tradeoffs instinctively. They are not concepts that need selling. The product speaks plainly of itself and its success is therefore guaranteed.

It won't be easy. The company will not be reporting the Watch segment revenues or (presumably) unit sales and therefore we won't have an accurate unadulterated view of the business. In addition, the large number of products in the mix and wide price variance means that it will be difficult for analysts to determine demand and price.

There is a hidden benefit to not having this data. All data is a creation and it tends to lead thinking in directions led by whatever is being measured (and whoever chose those measures and their motives). And yet without data there is no evidence and no credibility. In other words: You can't manage without measurement but you can't be sure what to measure.

The analyst is then faced with a requirement to have good taste or at least judgement about what to measure. This judgement is based on experience and good theory. Given that, what could we measure to determine whether the Apple Watch will be a success?

Here are some suggestions:

1. Language. Measure whether "Watch" will come to mean "Apple Watch". "Phone" has come to mean not only "smartphone" but also all mobile/cellular phones and not just things used for calling but things used for all manner of information. This is a great test because the theft of semantics can only be accomplished through a degree of ubiquity of influential mindshare. Incidentally, the brand may well have been designed to do just that. ((It leaves open the question as to what watches as currently defined will come to be known as.))
2. A measurable and significant reduction in the use of the iPhone. The Watch peels off uses from the iPhone and therefore the more it peels off, the less remains. However, that which remains will be more uniquely valuable to the incumbent. This is the process of carving and erosion that the PC experienced vs. mobile devices in general.
3. An increase in the mix of large-screen iPhones. As iPhones are removed from pockets more rarely, the larger version might be more comfortable to carry and more useful to use for the immersive tasks that are outside the scope of Watch.
4. An overall increase in iPhone sales beyond the foreseeable trajectory. This would suggest switchers from Android would be drawn to the platform purely for the value of the "accessory". Note that this is not inconsistent with the lower usage and higher spec mix measurements.
5. Apps uniquely targeting the Watch. It's hard to imagine how this will develop as it involves millions of creative minds, but as smartphones created new economic value through the solving of new jobs to be done, the Watch should do the same. As a side-effect it should lead to new empires (or at least Unicorns) being formed around Watch use.
6. Iteration. How quickly and deeply will the product be improved? Basic accessories like headphones and Apple TV have a leisurely update cycle. Smarter devices are faster. The cycle time of iteration should indicate how seriously Apple takes the platform and that itself should be fueled by positive consumer sentiment for the product.

These indicators are vague and the data will be weakly signaled but in many ways it will be more meaningful than any financial performance figures.

Apple's new watches are priced in a pattern unlike any of the previous pricing models for Apple products.

Previous pricing models for iPhone, iPad, Mac and iPod were typically structured around storage differences. The higher the storage, the higher the price. The Mac had a slight variation where processor and graphics offered some additional configuration options. To illustrate, the graph below shows typical price bands for the iPhone (2011 and 2012)

In contrast, the watches are differentiated by size, materials and bands. There are also a total of 38 watch configurations available at launch (SKUs) and another 38 bands that can be purchased separately.

The bands come in four price points and the watches in 15. Of these 15 watch prices, four are dramatically different. The pricing of the watches is shown in the two graphs below (with and without the Edition).

This mix of product makes average pricing estimation more challenging, but the more pertinent question is what does this new pricing model signify? Is it something that Apple can "pull off"? Can Apple actually price not on functionality (or options thereon) but on materials?

It used to be said that Apple's profit engine was fueled by the ability to price memory at a significant mark-up on its cost. The iPod earned the vast bulk of music player profits by offering additional memory increments at significant price increments. Even today, a 64GB iPod Touch is priced $100 higher than a 16GB version. Sounds reasonable, but a quick check shows that 64GB of Flash memory probably costs about $5. This exploitation of pricing/cost differences at the margin allows for great profitability and is rooted in the ways the buyers contemplate value.

Therefore the difference between memory-based pricing and materials-based pricing is only in the choice of how to attach value in the mind of the buyer. In one case it's having the option on storage, in the other it's having the option, perhaps, of more durability, quality or glamour.

The tricky part is understanding just how much the market will bear. What is the right differential for pricing of steel vs. aluminum? Or what makes gold worth so much more?

The cost of these materials (and the processes needed to manufacture them) is not very important. As with memories, the differences are not that significant. It could even be that the Aluminum process is more expensive than the steel process--it depends also on volume.

What matters most is how to gauge the perception of value.

This is where one can take cues from the existing market. Gold is costlier than steel but the pricing difference is greater still. Multiplying $1000 (cost) by 10 (to get a price) yields far more profit than multiplying $1 by 20. This perception of gold as being worth it is far beyond its utility--a perception which has taken centuries to build. What Apple is doing with Watch pricing is simply leveraging existing perceptions of value for materials and using them to capture profits for an otherwise purely functional product.

But that process of using perception to gain pricing advantage for function is how Prestige branding has always worked. The notion that materials, craftsmanship and attention to detail can be priced at huge multiples of cost is possible only with the right brand. That brand, itself built over decades, even generations, gives assurance of quality, perhaps exclusivity and comforts the purchaser in the moment of decision. It also provides assurance after the purchase and preserves the feeling of value well into the future. So-called Luxury brands are those which can impart these qualities on their products and extract the pricing advantage.

Sounds great, so why doesn't everybody do it? The answer is that it takes time and perseverance, with typically low volumes. This is not something technology brands have been able to do. Mainly because the products are perishable but also because they have not been around for long. With technology, the value is high at purchase on a functional basis but diminishes rapidly afterwards. It's as if, in order to preserve notional brand value, a product needs to be a functional commodity, undifferentiated on what it does but differentiated on the way it does it.

This is the unique value of Apple's brand: among technological brands it can stretch to cover the perception of value for design, materials, craftsmanship and prestige. At the same time it offers new experiences and introduces new products for new jobs to be done.

Understanding Apple’s intentions seems to be a popular parlor game and there are many attempts at divining intention from data and market study. These attempts at market research for answers are futile because Apple does not compete in existing markets but rather it creates new markets. For instance, the market for the Apple II could not have been assessed from research into the computing market of 1974. The intention for Apple to enter into music devices and services could not have been predicted through an analysis of MP3 player market in 2000. The iPhone was also not predicated on the market for “Internet Communicators” in 2006 or 2002 when the iPad was first contemplated. ((The market for phones was large but the iPhone pricing and features made it incompatible with any reasonable segment of it.))

Instead of measuring the size of pre-existing markets, surveying the functionality of existing products, or weighing toxically financialized ratios like margins and market shares, I recall this ad (Our Signature, first seen at 2013 WWDC):

This is it
This is what matters

The experience of a product
How it will make someone feel
Will it make life better?
Does it deserve to exist?

We spend a lot of time on a few great things
Until every idea we touch
Enhances each life it touches

You may rarely look at it
But you will always feel it
This is our signature
And it means everything

My interpretation of these lines, coupled with additional public statements can be used to create a “litmus test” for new product categories:

1. The experience of a product. Read: They will work on things to which they can make a meaningful contribution. To me this means that they will build things which require an integrated approach. As Apple is "the last integrated company standing” it means they will work on problems where the system is not good enough. This means that they will not work on problems where an individual modular component is not good enough. By system I mean, in the largest sense: production, design, distribution, sales, support and services must work in a seamless way. Systems analysis implies a broad understanding of the causes of insufficient performance along the dimensions of “experience”. The experiences are what differentiate the products (and lead to high margins) and these experiences are possible only through the control of interdependent modules.

2. Does it deserve to exist? Read: They will work on very few things. They will say no to many things. It’s still true that all of Apple’s products can fit on one table. That may not be true forever, but their product space will not grow as quickly as sales grow. This means that there is no notion of “marginal value” or portfolio theory where products are added because they can be justified as “moving the needle” or balancing demand. Rather, the few things which will be worked on will address non-consumption. Non-consumption of experiences.

3. Enhance life. Read: The things they release are inevitable even though nobody asked for them. The reason this is possible is that there are unmet and unidentified “jobs to be done” which are powerful sources of demand and whose satisfaction leads to unforeseen rewards. The problems that can be addressed are uncovered through a process of conversation with a few people. They are not uncovered through surveys or large n statistical studies. Without the ability to ask the right questions, big data only leads to big misdirection. In contrast, good taste in questions allows small n to lead to big insight. Apple’s ability for finding the right problem to solve comes from this greatness of taste in questions.

So given this litmus test, will Apple build a Car?

I believe the problem of transportation and its proxy, the automobile, provide all the requisite demand for Apple's attention. Technical questions abound and they may still prove unsurmountable before a launch happens, but there are no doubts in my mind that this is a problem Apple would see fit to address.

Non-consumption of unmet and unarticulated jobs to be done can and should be addressed with systems solutions and new experiences.

The poetry is pretty clear on the matter.