Encourage data literacy, leadership, and engagement.
Showing completed goals and tasks can help inspire other team members with real-world experiences.
Having results that specifically demonstrate monetary value will inspire higher-ups.
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.
For example, give your C-level stakeholders an easier way to find insights from your testing and help them build a business strategy.
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.
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.
For example, every test can involve a UX designer, a frontend developer, a data analyst, a psychologist, and an ecommerce manager.