Elements of Amazon’s Day 1 Culture | AWS Executive Insights

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Day 1 is both a culture and an operating model that puts the customer at the center of everything Amazon does.”

Contrast this to a “Day 2” mentality: as a company grows over time, it needs to adjust its approach to effectively manage the organization as it scales. The danger is that as this happens, decision making can slow down, and the company can become less agile, moving further and further away from the customer as it rotates focus towards internal challenges rather than external customer-centric innovation.

This doesn’t happen overnight; it can creep in gradually, and manifest in small ways which on their own are not immediately alarming, or even readily apparent. If left unchecked, a Day 2 mentality can manifest. When asked “What does Day 2 look like?” Bezos, in his 2016 Shareholder Letter, answered: “Day 2 is stasis. Followed by irrelevance. Followed by excruciating, painful decline. Followed by death. And that is why it is always Day 1.” To avoid Day 2 culture, a company must be hyper-vigilant, remained focused on its customers, and stave off practices that hamper its ability to rapidly innovate.

While we do not believe Amazon’s approach is the only or best one, many of our customers ask us to share the lessons we’ve learned as we’ve grown, as well as some of the mechanisms we employ to ensure that it’s always Day 1 at Amazon.

Obsess over customers

Obsess over customers

There are many aspects of maintaining an agile, Day 1 start-up mentality. For us, the most important one—the bedrock upon which Amazon’s culture rests—is customer obsession.

Amazon has 16 Leadership Principles that we use to guide our actions and the decisions we make every day. While there is no official order or hierarchy to them, it is also no coincidence that the first Leadership Principle is Customer Obsession. “Leaders start with the customer and work backwards,” it states. “They work vigorously to earn and keep customer trust. Although leaders pay attention to competitors, they obsess over customers.”

We start with the customer and work backwards from their needs. By digging into their experiences and frustrations and deeply understanding the context behind them, we avoid inventing in isolation, or producing a solution in search of a customer. “One thing I love about customers is that they are divinely discontent,” Bezos wrote in his 2017 Letter to Shareholders. “Yesterday’s ‘wow’ quickly becomes today’s ‘ordinary.’ ” Customers can provide endless ideas and inspiration to innovate, and their needs and desires will drive you to invent on their behalf.

As an example, at AWS, around 90% of the features developed come directly from hearing about what our customers need. The other 10% comes from being close enough to customers that we can invent on their behalf when they don’t, or can’t, articulate those needs.

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We are internally driven to improve our services, adding benefits and features, before we have to. We lower prices and increase value for customers before we have to. We invent before we have to.”

—Jeff Bezos, 2012 Shareholder Letter

This relentless customer obsession has been a central part of Amazon’s approach since the company’s literal Day 1 (one of the early names Bezos considered for the company was Relentless.com—type that into your browser and see where it takes you!). By maintaining a customer-obsessed culture and working backwards from your customers’ needs, your innovations are better set up for success right from the start. Being inspired by your customer’s needs is also likely to open yourself up to innovate in many more areas than you may have otherwise. Your innovations are not constrained by how you can accomplish them in your current environment, but rather by how big they can be and how much they can delight your customers.

Make high quality, high velocity decisions

Make high quality, high velocity decisions

A critical aspect of maintaining a Day 1 culture is how a company approaches decision-making as it grows. All companies strive to make high quality decisions. But you also need to be able to make those decisions quickly and at scale. It’s much easier in a dynamic start-up environment—there are fewer layers of communication and corporate hierarchy to navigate. But as a company experiences growth, they also tend to become more complex. Elements of Day 2 culture may start seeping in: more layered organizational structures, multiple chains of approval, the need to gain consensus (or just as dangerous, compromise that makes innovations less impactful), or even the need for leaders to play a role in every decision that’s made. All of which grinds decision-making to a halt.

At Amazon, we have a few mechanisms that help us apply good judgment and ensure we make high-quality, high-velocity decisions. The first is the concept of “two-pizza teams,” meaning that the team is small enough to be fed with two pizzas. Keeping teams small also empowers them with the autonomy and speed they need to act as owners for their product and its customers. In practice, these are small, decentralized teams of 10 or less people with a single-threaded focus on a single service, and on the customers who use it. This structure minimizes the need for matrixed communication or unnecessary bureaucracy, enabling rapid decision making by the people who are closest to their customers’ needs.

Keys to decision making at speed

  1. Recognize two-way doors. While some decisions are one-way doors, others are two-way doors, meaning they are reversible, and you can correct mistakes quickly.
  2. Don’t wait for all the data. If you wait until you know everything, you are probably being too slow. Most decisions only need about 70% of the information you wish you had.
  3. Disagree and commit. People can disagree, but once a decision is made, everyone must commit to it. This saves time versus trying to convince each other.

Two-pizza teams foster ownership and autonomy, as they own the end-to-end experience and have the right resources embedded in them to develop, test, iterate, and scale on behalf of their customers rapidly—and with less dependencies. This single-threaded ownership pushes decision-making down to the team-level, while also promoting accountability, as two-pizza teams have a crystal-clear charter and oversight over the right set of metrics and KPIs that make the most impact for their customers. Without the need to maintain complex systems or to solve problems across multiple lines of business, two-pizza teams can dedicate more time and energy on rapidly testing, experimenting, and innovating on behalf of their own customers.

Another tool we use at Amazon to assist in making high-quality, high velocity decisions is a mental model we call one-way and two-way doors. A one-way door decision is one that has significant and often irrevocable consequences—building a fulfillment or data center is an example of a decision that requires a lot of capital expenditure, planning, resources, and thus requires deep and careful analysis. A two-way door decision, on the other hand, is one that has limited and reversible consequences: A/B testing a feature on a site detail page or a mobile app is a basic but elegant example of a reversible decision.

When you step back and look at the decisions you make, you may find that the most of them are two-way door decisions. When we see a two-way door decision, and have enough evidence and reason to believe it could provide a benefit for customers, we simply walk through it. You want to encourage your leaders and employees to act with only about 70% of the data they wish they had—waiting for 90% or more means you are likely moving too slow. And with the ability to easily reverse two-way door decisions, you lower the cost of failure and are able to learn valuable lessons that you can apply in your next innovation.

Embrace external trends and resist proxies

We live in a world of constant, unabated change driven by rapid technological innovation, shifting regulation and governance demands, and even unplanned external upheavals like COVID-19. It is more crucial than ever that companies resist simply falling back on their safe and known competencies at the expense of meeting changing customer needs.

A company prone to Day 2 thinking may find itself more internally-focused on maximizing current margins and profitability instead of paying attention to current trends and boldly innovating on behalf of new or underserved customers. A company with a Day 1 mentality will insist upon constant iteration and experimentation. They will foster curiosity. They will embrace, explore, and be inspired by external trends all around them. And they will empower their leaders and employees to take risks, being permissive of failure as an inevitable consequence of innovation.

This is not easy. It requires executives to bravely set the example from the top, creating the right culture and environment to nurture experimentation and be accepting of failure. As Bezos wrote in his 2016 Letter to Shareholders, “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight.”

It also requires you to stay close to the customer, and not let process get in the way of delivering customer-focused outcomes. In companies that have experienced growth, the tendency is to build processes to help manage a business at scale and beyond line of sight. While good processes can be highly efficient and effective, companies need to be heedful of the Day 2 tendency of optimizing the process rather than ensuring it is still driving the right results for customers.

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If you’re not watchful, the process can become the thing…You stop looking at outcomes and just make sure you’re doing the process right. The process is not the thing. It’s always worth asking, do we own the process or does the process own us? In a Day 2 company, you might find it’s the second.”

—Jeff Bezos, 2016 Shareholder Letter

An example comes from the use of aggregate data. Reporting may show steady average growth across a large business, but the very aggregate nature of the data may mask underlying trends and drivers that affect a meaningful number of customers. For example, a customer anecdote in the form of feedback or a use case arising in a trouble ticket may seem like an outlier given its opposition to what the data shows. In these cases, it pays to dive deep into those outliers and anecdotes, and ensure that employees are escalating issues quickly and root causes are corrected before they impact your customers at scale.

It's always Day 1

It’s always Day 1

It is not easy for a company to experience growth and stay innovative. The very nature of growth and operating a business at scale breeds additional complexity, and with it, a natural tendency to slow down. It is critical for the business to adapt quickly to rapidly changing external environments and to the ever-evolving needs of their customers by innovating on their behalf.

To do so, a company needs to zealously guard against Day 2 mentalities: focusing on short term goals or process instead of customer-delighting outcomes; allowing hierarchy and bureaucracy to spread rather than empowering autonomy and rapid experimentation and decision-making; fearing failure and entrenching around existing capabilities rather than thinking big about what can be.

By retaining a Day 1 culture—one that is customer-obsessed, that enables high-quality and high-velocity decision-making, and that empowers employees and leaders alike to stay curious, be experimental, and permit failure and the learning that comes with it as a competitive advantage rather than a risk to avoid at all costs—a company is better able to leverage its growth rather than be slowed down by it. And is better suited to lead innovation at the forefront.

As Bezos wrote in his 2016 Letter to Shareholders:

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So, have you settled only for decision quality, or are you mindful of decision velocity too? Are the world’s trends tailwinds for you? Are you falling prey to proxies, or do they serve you? And most important of all, are you delighting customers? We can have the scope and capabilities of a large company and the spirit and heart of a small one. But we have to choose it.”

Day 1 mentality

Focused on customers

Focused on customers

High-quality, high-velocity decisions

High-quality, high-velocity decisions

Experiments to incubate new capabilities

Experiments to incubate new capabilities

Embrace failures

Embrace failures

Nimble organization structures

Nimble organization structures

Small teams who own what they create

Small teams who own what they create

Prioritizes long term, sustained value

Prioritizes long term, sustained value

Day 2 mentality

Focused on internal challenges

Focused on internal challenges

Bureaucratic, consensus-based decisions

Bureaucratic, consensus-based decisions

Invests in entrenched capabilities

Invests in entrenched capabilities

Fears failure

Fears failure

Deeply layered organizational structures

Deeply layered organizational structures

Large teams with many dependencies

Large teams with many dependencies

Prioritizes immediate, short-term value

Prioritizes immediate, short-term value

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About the author

Daniel Slater, Worldwide Innovation Programs, AWS

Daniel Slater, Worldwide Lead, Culture of Innovation, AWS

Dan Slater oversees Culture of Innovation as a part of AWS’s Digital Innovation team which uses methodologies inspired by Amazon’s innovation mechanisms (e.g. Working Backwards) to help customers develop and deliver new solutions on AWS. Dan joined Amazon in 2006 to launch the company’s first direct-to-customer digital content offerings. He helped launch the Kindle device and Kindle’s global content marketplaces, as well as Amazon’s self-publishing service, Kindle Direct Publishing (KDP). After overseeing the digital business of the top 60 trade publishers, Dan led content acquisition, demand generation, and vendor relations for KDP. Prior to Amazon, Dan was a Senior Acquisitions Editor at Simon & Schuster and Penguin, and led sales for a publishing IT firm (Vista, now Ingenta). Born in Toronto, Canada, Dan lives in Seattle with his wife and two children. He earned his MBA from the Fuqua School of Business, Duke University, and completed a dual Bachelor of Arts degree at Cornell University.