Aware of the top-level business data, and uses it to contextualise their work. Works with analysts to answer data questions they have.

• Designing with data: You have access to and regularly use product and business data in your work. You use data as part of design conversations with peers.

• Principles and technique: You have a grasp of what good data looks like and ensure across your work that you can trust your interpretation. You have a working relationship with analysts/engineers in your team and ask them questions.

Actively surfaces data relevant to the team, and designs tests based on data-driven hypotheses.

• Designing with data: You push your team to use better data across projects, and work with data specialists to surface that data for all. You run personal dashboards to keep up to date.

• Principles and technique: You demand good data as part of your design process and work to ensure that the need is thought of as part of engineering work. You understand significance and experiment design on a basic level.

Helps their team use data as a tool, working closely with analysts and thinking through short and medium term experiments

• Designing with data: You regularly advocate for data in group critique and ensure others are thinking the same way. Checking data is a natural part of your routine, as evidenced by you flagging suspect data on multiple occasions.

• Principles and technique: You regularly design the data you want to see as part of your work, which results in measurably better outcomes.

Designs the data they want to see as part of their products and ensures it's robust when they ship. Queries and explores data on their own, and helps stakeholders plan the data they want to see.

• Designing with data: You convert designers and teams to being data-led. You see opportunity in patterns, and use it to find behaviours that no-one else sees.

• Principles and technique: You're designing tests and ensuring that they're valid and significant for your hypothesis. Your projects are measurable and robustly validated. You're helping others in your team to think about data in new ways.

Helps to shape the data the company cares about, balancing business data with customer-focused data to find the right balance over quarters and years.

• Designing with data: You're advocating for designing with data within your business and beyond. You're a true partner to data specialists in your organisation, helping them to visualise and maximise their own value. Your team now blows people's minds.

• Principles and technique: You have a harmony between a rigid data focus and a designer's gut. Designers don't feel constrained by test results, and data specialists feel validated by them because of your processes.