Experience Management

The discipline of managing all human experiences that impact an organization.

Category

Technology & Tools

Full Definition

Experience Management (XM) is the discipline of understanding and optimizing all the experiences that humans have with an organization β€” customers, employees, products, and brands. It's the evolution of traditional customer experience management.

The Four Pillars of XM: 1. Customer Experience (CX): How customers interact with and feel about your company 2. Employee Experience (EX): How employees experience their workplace 3. Product Experience (PX): How users experience your products 4. Brand Experience (BX): How people perceive your brand overall

The XM Operating Framework: 1. Listen: Collect experience data continuously 2. Understand: Analyze to find meaning 3. Decide: Determine the right actions 4. Act: Implement improvements 5. Monitor: Track impact

Common Use Cases

Enterprise experience programs
Digital transformation
Organizational alignment
Strategic planning

Real-World Examples

1
Telecom

Scenario

A company measures all four XM pillars. They discover employee satisfaction (EX) at call center dropped β†’ customer satisfaction (CX) followed 2 months later.

Outcome

They learn EX is a leading indicator of CX. Investing in employee wellbeing becomes a customer experience strategy, not just HR.

2
SaaS

Scenario

Product experience (PX) scores show users love a feature, but brand experience (BX) surveys show people don't know the feature exists.

Outcome

Marketing focuses on the beloved feature in campaigns. Brand perception improves as people discover what makes the product special.

3
Healthcare

Scenario

A hospital system tracks patient experience (CX), employee experience (EX), and medical outcome data together.

Outcome

They find departments with highest EX also have best patient outcomes. They share this with staff: "Your wellbeing directly helps patients."

Related Terms

Back to Glossary
Share this term:

Ready to measure XM?

Customer Echo makes it easy to collect and analyze customer feedback with AI-powered insights.