Designing with Data

Key takeaways

• Always start with a question and ask what you want to learn.
• A good hypothesis is a clear articulation about your design, the effect on consumer behavior, and effect on the key metric.
• The goal of data and design is to understand people. All numerical data reflects human needs and behavior underneath.
• Be open minded to all forms of data, and aware of data quality.
• Testing in small samples can reveal big problems.
• Collaborate in the definition phase to develop holistic metrics that reflect the impact well.
• Consider limitations to resources and prioritization.
• Roll out experiences slowly and most of all, serve the user.