This model aligns all our departments, and leaders meet weekly to discuss performance and each specific KPI. Because we’ve aligned on which KPIs matter at each stage of the journey, we can more effectively take action to achieve them and measure our performance against them.
It’s a model built with customer-centricity in mind — a customer journey framework that tells us how to engage with our customers in a personal, effective way at any point in the customer journey. Essentially, it helps answer these three questions:
• How should we engage with our customers?
• How do we measure that engagement?
• How do we know if that engagement is successful or not?
With this single source of truth, everything else falls into place. And as we’ve used this DDOM, we learned three crucial lessons.
All digital, all the time.
Digitizing as much of the customer journey as possible is fundamental to the success of our operating model. Digital channels allow us to move faster, scale, and better meet customer expectations. But making everything digital is also crucial because it gives the data we need for our data-driven model. As customers interact with us, they create digital signals that we can then analyze and act on. This is obviously the heart of digital transformation but focusing our efforts around the customer journey gave us the discipline we needed to make it happen.
Let the data do the driving.
With a digital customer journey, we bring in a lot of data. But by focusing the model on specific and well-defined customer-centric KPIs, we are able to decide which data we really need. But this means the ability to stitch data across the entire customer journey is mission critical. Being able to gather data, segment it, build audiences, and act on those segments is the backbone of personalization. The model helps us make sense of the data around us. Otherwise, there’s no point collecting it in the first place — we’re just swimming in it.
A guiding structure.
Our operating model only works if we follow it. It sounds obvious, but the key to our success with the operating model is the rigor to which we adhere to it. Having data and gleaning insights is only valuable if we have the people and processes in place to identify opportunities (with the help of artificial intelligence), to decide on (or automate) actions, and to measure those actions in a very fast cycle. And key to how these people and processes work is a single vocabulary that unifies how we plan and operate cross-functionally. We are disciplined in the way these people and processes work, which ensures that every action we take is for the customer.