Organizational culture is difficult to solve in the world of technology. Although intangible, a culture rooted in experimentation has tangible benefits for teams that want to remain competitive.
Three advantages of experimental culture
- Teams can gather empirical evidence, make data-driven decisions, and eliminate guesswork from workflows.
- Helps avoid Adding new technology to your business creates unnecessary headaches and expenses.
- Accelerate progress and minimize risk.
A culture of experimentation is based on a shared mindset that encourages exploring, testing, and implementing new ideas. It goes beyond the standard technology maxim of acting fast and breaking things. It is not about destruction at all costs. Experiments prioritize studying well-developed hypotheses and using data to verify the results. It’s about trying new things and learning from your successes and failures.
I’m lucky to work for a company with a culture and history rooted in experimentation.optimization has had a test-and-learn philosophy in its DNA since A/B testing first exploded, helping digital marketers design and ship websites, apps, and emails. We are able to provide you with valuable data, improved targeting capabilities, and reduced risk. .
Further transformation will occur at the intersection of philosophy and technology. Here’s the playbook we’ve adopted to build a productive experimentation culture:
Get the whole team involved
Experiments are not something you can do alone. It can be difficult to get an entire unit head first into wild, quick experiments, but the more teammates you have who are interested in testing and learning, the better.
The results of experiments should influence strategy, not the opinion of the highest paid person in the room.
At Optimizely, we sometimes need six or seven teams to work on a small task, such as testing a new feature on a website. Our developers, designers, analytics team, and compliance team all work together to change the button colors on your homepage. Even executives need to trust the tests being performed. The results of experiments should influence strategy, not the opinion of the highest paid person in the room.
To get others on board, highlight the value your experiment adds to everyone from your marketing team to your R&D team. Assure team members that they have the freedom to explore ideas, test hypotheses, and make decisions independently in a collaborative environment that values their contributions and trusts their skills. It’s also important to emphasize that experimentation allows engineers to gather empirical evidence, make data-driven decisions, and take the guesswork out of their workflows.
Deploy the right framework
As product experts, we’re used to trying to make sense of data and digital noise.
At first glance, adding variables to a workflow may seem like adding unnecessary complexity to a fixed operation. But at the end of the day, the purpose of an experiment is to generate data to support or reject a hypothesis.
The right frameworks and tools for experimentation are those that integrate seamlessly with existing systems, making it easy for teams to incorporate experimentation into their daily tasks without disrupting ongoing projects or processes. My team has unlocked tremendous value by finding harmony between elements of our technology stack and relying on tools that allow us to interact with others.
I would even suggest putting the same energy into technology adoption. Use a test-and-learn approach when finding the right tools to make your experimental program work. Testing the time, cost, and employee bandwidth input required to use a new platform or software versus another platform helps you understand the limitations of individual models before fully adapting them to your workflow. You can evaluate your strengths. Trying it out can save you unnecessary headaches and expenses.
Have the courage to think outside the box
Here are the hard facts that guide our organization’s experimental mindset: 88 percent of functional or web experiments. not a winner.
This means that a few individual A/B tests are not enough to maintain continuous and confident marketing decisions. It also shows the importance of always being open to new ideas, as someone’s first guess for a feature or project is unlikely to be a winner. Good experimenters are always looking for informed choices about which tests to run and think outside the box about what’s next.
New technologies such as generative AI can push us outside of our comfort zones. For any smart user, AI can become an important brainstorming tool, allowing it to discover options for experiments that you might not have thought of on your own. Conversational chatbot powered by AI You will act as a sounding board with access to limitless information and be a valuable partner in the creative and technical process.
For example, a marketer at my company might ask a conversational chatbot how they can personalize a campaign’s CTAs. On the receiving end, the chatbot might surprise the recipient by recommending testing the length of the call-to-action instead of the tone.
test continuously
Experiments may be new to your team, but there’s no need to shy away from them. Continuous testing and iteration allows organizations to optimize processes, products, and strategies over time, leading to improved results and performance.
A culture of experimentation is a natural progression for innovation-minded technology professionals. Experimentation pushes the boundaries of what’s possible, and with each test we run, we move closer to true certainty amid industry disruption.
By fostering and sustaining a culture of experimentation, Optimizely has been able to boldly test new ideas over the years. Every employee in a company today is constantly trying to test parts of their workflow. We have a legacy of experimentation to thank for our successes in everything from improving customer relationships to exploring new areas of AI. It’s a proven strategy that accelerates progress, minimizes risk, and infinitely optimizes value.