Small Rules, Big Impact
In the relentless pursuit of innovation, it's often the simplest rules that yield the most profound results.
Organizations like Amazon that prioritize speed and agility don't just achieve their success through complex frameworks or elaborate methodologies. They also rely on small rules that guide their decision-making and structure.
One example is Amazon's "two-pizza rule."
The rule is simple: "No team should be big enough that it would take more than two pizzas to feed them."[1] Depending on your appetite, that translates to teams of about 6-10 people or less.
While it might sound arbitrary, there's compelling data behind this approach that absolutely makes sense.
Last week, we spoke about the big picture of experimentation and covered three approaches to developing a learning-based, experimentation approach.
This week, we're going small picture to talk about some of the best practices by innovative companies that represent how to get the most out of your innovation efforts.
Going back to the "two-pizza rule," there is substantial research that supports this approach as a best practice. Jeff Bezos, Amazon's founder, implemented this rule to combat the inefficiencies that naturally emerge as teams grow larger. He recognized some specific benefits of two-pizza teams:
Efficiency: Smaller teams tend to make decisions more quickly and streamline processes.
Communication: With fewer members, communication is more direct and less prone to misunderstandings.
Accountability: Each team member's contributions are more visible, leading to greater individual accountability.
Collaboration: Smaller groups encourage closer working relationships and foster a sense of shared ownership.
Employee Satisfaction: Smaller teams result in higher team member satisfaction. That satisfaction decreases as team size grows.
Taking an experimentation approach to innovation can be enhanced by a structured “small ball” practices that allow companies to test new ideas, learn from failures, and iterate quickly.
Here are some additional best practices others have implemented, along with examples from innovative companies:
1. Begin with the End in Mind: Start with a Clear Hypothesis
Successful innovators frame their ideas as experiments with testable hypotheses. This approach brings rigor to creativity and ensures that even failures generate valuable insights.
Amazon exemplifies this practice by requiring new initiatives to be framed as a press release and FAQ document before any work begins. This "working backwards" method forces teams to clearly articulate the customer benefit and how success will be measured.
Amazon's early Prime program was based on the hypothesis that free two-day shipping would increase customer loyalty and overall spending. By framing this as a testable proposition, they could measure the impact precisely and iterate on the offering as they learned.
Today, Prime members spend more than twice as much as non-Prime customers annually, validating their initial hypothesis.
2. Design Small, Fast Experiments
The key to rapid innovation is keeping experiments lean and quick. Rather than investing months or years in developing a perfect solution, innovative companies create minimum viable products (MVPs) that test core assumptions with minimal resources.
Dropbox launched with a simple explainer video rather than building the full product, allowing them to validate demand before investing heavily. The video generated 70,000 signups overnight for a product that didn't yet exist, giving them confidence to build the real thing. This approach saved them potentially millions in development costs for a product no one wanted.
3. Measure the Right Metrics
Innovation experiments need clear success criteria. By identifying key performance indicators in advance, companies can objectively evaluate results and make data-driven decisions about which initiatives to scale and which to abandon.
Netflix continuously A/B tests different recommendation algorithms to see which increases user engagement. They measure specific metrics like viewing time, completion rate, and browsing time to determine effectiveness. This meticulous measurement has helped them develop a recommendation engine that drives 80% of their viewership, keeping subscribers engaged and reducing churn.
4. Leverage Cross-Functional Teams
Innovation rarely happens in silos. The most breakthrough ideas often emerge at the intersection of different disciplines, perspectives, and expertise. Cross-functional teams bring diverse thinking to problems and avoid the myopia that can plague specialized groups.
Apple's original iPhone development brought together hardware, software, and design teams to iterate rapidly. By having engineers, designers, and product managers working side by side, they could solve complex interdisciplinary problems that would have been impossible to coordinate across separate departments. This collaborative approach enabled them to create a revolutionary product that redefined multiple industries simultaneously.
5. Encourage Parallel Experimentation
Rather than betting everything on a single innovation path, running multiple experiments simultaneously increases the chance of discovering breakthroughs while spreading risk. This portfolio approach acknowledges that most innovations will fail, but a few successes can more than compensate.
Amazon continuously experiments with multiple retail and logistics innovations (e.g., cashier-less stores, drone deliveries) to find the next big opportunity. While many of these experiments don't pan out, the ones that do—like AWS, which began as an internal experiment—can become massive new business lines that drive growth for decades.
6. Build Rapid Feedback Loops
The velocity of innovation depends on how quickly you can learn. Companies that create mechanisms for fast feedback can accelerate their learning cycles and outpace competitors by orders of magnitude.
Tesla gathers real-time data from its cars on the road, using software updates to improve vehicle performance without recalling hardware. This continuous feedback loop allows them to improve their products faster than traditional automakers who might wait years between model updates. A problem identified in the morning can sometimes be fixed with a software update by evening.
7. Use Customers as Co-Creators
The most valuable innovation insights often come directly from customers. By involving them early in the experimentation process, companies can ensure they're solving real problems and refining solutions based on actual usage patterns.
LEGO Ideas allows fans to submit new product designs, which LEGO then tests and potentially produces. This platform has generated some of LEGO's most successful sets while building customer loyalty. The genius of this approach is that it essentially outsources much of their R&D to their most passionate customers, who willingly contribute their creativity.
8. Embrace and Learn from Failure
Perhaps the most critical aspect of successful innovation cultures is their relationship with failure. Rather than punishing unsuccessful experiments, innovative companies extract maximum learning from them and celebrate the insights they generate.
Spotify regularly runs "Failure Fridays," where teams intentionally trigger system failures in a controlled environment to learn how to respond better. This practice builds resilience and demonstrates that failure is valued as a learning opportunity. They also have a "fail wall" where teams share lessons from unsuccessful projects, ensuring knowledge spreads throughout the organization.
Like two-pizza rule, each of these approaches are based on a philosophy that prioritizes speed, autonomy, and accountability. Codifying specific approaches creates a powerful innovation engine capable of continuous reinvention through experimentation.
Today the ability to adapt and evolve isn't just a competitive advantage—it's a survival requirement. Breakthrough ideas rarely come from massive initiatives or large departments. Instead, they emerge from small, nimble teams with the freedom to experiment, the discipline to measure, and the resilience to learn from both success and failure.
By embracing these principles, your organization can develop its own innovation capabilities, regardless of industry or size. Remember: sometimes the smallest rules create the biggest impact.
Here are some questions for you to consider as you discuss how to implement small rules approach.
Things to consider:
What bottlenecks or friction points consistently slow down our innovation efforts?
What unnecessary complexities exist in our current processes that could be simplified into a clear rule?
If you had to identify one principle that would make the biggest difference in how we innovate, what would it be?
What implicit rules are already guiding our best teams that could be made explicit and scaled?
What is a small behavioral change that, if consistently applied, would significantly improve our innovation outcomes?
How might we create a rule that encourages more rapid experimentation and learning?
What single metric, if improved, would most transform our innovation capacity?
What simple rule could help us better incorporate customer feedback into our innovation process?
Until next time, lead with purpose.
Will
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Leading Matters is the trusted source for aspiring and seasoned leaders alike, providing them with the tools, insights, and inspiration to become intentional leaders that build more innovative, engaging, and agile organizations.
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[1] https://aws.amazon.com/executive-insights/content/amazon-two-pizza-team/