When thinking about how data can impact the Customer Journey, make sure to look at:
1. How are we experimenting with new ideas and testing critical assumptions within what we already know (from the data)?
2. What do we do to measure the metrics that matter to the business? What is the desired outcome for each touchpoint and the journey as a whole?
3. Have we determined what "success looks like" within the concept of customer expectations? How are our data science teams reflecting on those expectations and emotions and pushing their models to be more human as a result?
1. How are we experimenting with new ideas and testing critical assumptions within what we already know (from the data)?
2. What do we do to measure the metrics that matter to the business? What is the desired outcome for each touchpoint and the journey as a whole?
3. Have we determined what "success looks like" within the concept of customer expectations? How are our data science teams reflecting on those expectations and emotions and pushing their models to be more human as a result?