Predictive Behaviour Modelling

Recognize behaviour patterns in user data and use the patterns to plan for the future.

Interested? Contact us.

Why do behaviour models matter?

Help teams understand how people make decisions, and in turn can help your business develop, and empirically test, strategies that reflect these realities to solve your biggest challenges.

What’s our process?

We think broadly to determine the right data to use. We work collaboratively to build and test models that help teams make decisions about products and services.

1. Launch

Define target users for research
List key CX decision factors and business impacts

2. Define Relevant Data Sets

Brainstorm potential data proxies for key decision-making factors
Gather supplementary data sources and verify quality

3. Model Development

Build model based on the control region
Iterate model for the control region
Apply the model to the experiment region
Evaluate fit of the model in experiment region
Iterate until the best fit is established

4. Communicate Findings

Visualize findings of the model to highlight important details
Finalize deliverable with the appropriate communication form

Assumptions

Point of sale and other customer data available

Benefits

Move from assumptions based to research based decision-making
Create alignment across the organization for changes in the service experience