Insights

Thinking on AI and customer experience

Practical perspectives from the work. No theory, no fluff, just what reporting, customer interactions, and support operations actually show.

AI & Chatbot Strategy

What chatbot performance looks like

Chatbot performance is measured in different ways, but these do not always reflect whether customers are getting the outcome they need.

Read more →
Data & Reporting

Turning reporting into clear direction

The challenge is not access to data, but making sure it is understood, used, and translated into clear direction that can be acted on.

Read more →
Knowledge Management

What large-scale customer data reveals about what people actually need

Working across multiple brands, customer interaction data was reviewed at scale to better understand demand.

Read more →
Help Centre Strategy

What really drives Help Centre performance

Help Centre performance is often linked to the quality and volume of content. While this plays a role, it does not always explain how easily customers find and use the information available.

Read more →
Knowledge Measurement

What shows if your knowledge base is working

The more useful indicators focus on whether customers can find answers and resolve their query without needing additional support.

Read more →
AI Strategy

What "good" looks like in AI customer service

Experience across multiple AI deployments highlights the difference between what AI is expected to deliver and how it performs in practice.

Read more →
AI & Chatbot Strategy

What drives chatbot containment rates

Containment rate reflects how often customers can resolve their query without needing additional support.

Read more →
Data & Reporting

Getting more value from contact centre data

Customer interactions provide a continuous source of insight into products, processes, and communication.

Read more →