Encourage data literacy, leadership, and engagement.
Create initial projects that you are able to complete in order to provide proof of concept.
Showing completed goals and tasks can help inspire other team members with real-world experiences.
Create optimization projects that show value and prove business value.
Having results that specifically demonstrate monetary value will inspire higher-ups.
Explain all of your research and experiment learnings repetitively and in detail.
Repetition builds habit, and the more you explain and express the optimization process and value, the more people will have to engage. Don’t expect everyone to understand if you only explain the experiment once, as experimentation doesn’t come naturally to everyone.
Use a transparent workflow like Effective Experiments.
For example, give your C-level stakeholders an easier way to find insights from your testing and help them build a business strategy.
Use a North Star Metric to share cross-team KPIs.
A North Star Metric should include:
- A statement of your product vision.
- A metric that serves as a key measure of your current product strategy.
Stay as close as possible to the monetary value.
Create a monetary return on investment to generate enthusiasm.
For example, a 2% uplift is not as inspiring as We made $100,000! Be careful with simplistic projections based on A/B test results. Estimations need to be done with care. Good analysts can bake this language of uncertainty into estimates, or you can use a tool like the Search Discovery one.
Involve people from different teams, and people with different skills, in your tests.
For example, every test can involve a UX designer, a frontend developer, a data analyst, a psychologist, and an ecommerce manager.