Dashboard analysis process

Constructing a global statement

A quick overview of each section reveals any apparent problems with the service being measured. An overall assessment can be deduced from this:

• Slow but energy-efficient service

• Fast but energy-hungry service

• Energy-efficient but high data consumption

• etc.

Identify problems

Analysis of the dashboard should help identify optimization levers. Two situations are possible:

• Most of the steps are bad on one metric. Analysis will be simplified with a lot of problems to noticeavec beaucoup de problématiques à relever.

• Some steps behave far from the average. We need to be sure that this is not a measurement error. We then need to go into a more in-depth analysis and focus on these steps.

Start analysis of the dashboard in this order:

1. Performance

2. Data

3. Energy

This makes it possible to construct an argument such as :

• Performance analysis shows that step A is time-consuming

• Data analysis associates step A with high data consumption

• Energy analysis links this data consumption to high energy consumption

What the dashboard doesn't show

Ecoscore calculation does not depend on the number of steps, and this can mask problems of ergonomics and journey design. A journey with many well-optimized steps will have a good Ecoscore. However, the environmental impact and duration of the journey will be poor.