Customer experience analytics dashboard visualization

Customer Experience Analytics

Transform customer interactions into actionable insights for improving satisfaction and loyalty

¥47,000
Program Investment
8 Weeks
Program Duration
Online
Learning Format

About This Program

This comprehensive program equips professionals with techniques to analyze customer interactions across multiple touchpoints. Participants develop skills in mapping customer journeys, implementing satisfaction measurement frameworks, and extracting meaningful patterns from behavioral data.

The curriculum covers journey mapping methodologies that visualize customer interactions from initial awareness through post-purchase engagement. You will learn to identify friction points, moments of delight, and opportunities for process optimization. The program addresses both qualitative research methods for gathering customer feedback and quantitative approaches for measuring satisfaction metrics.

Students work with voice of customer data, examining how feedback from various channels can be synthesized into coherent insights. The program includes practical exercises in NPS calculation, customer effort scoring, and sentiment analysis techniques. You will explore behavioral segmentation approaches that group customers based on interaction patterns rather than demographics alone.

Advanced modules address predictive analytics for customer retention, including cohort analysis and churn risk modeling. Participants learn to design experience metrics dashboards that communicate findings to stakeholders effectively. The program emphasizes creating feedback loops that enable continuous improvement of customer experience initiatives.

Program Outcomes and Applications

Journey Mapping Proficiency

Graduates develop capability to create detailed customer journey maps that identify touchpoints, pain points, and opportunities across the customer lifecycle. This skill enables teams to visualize the complete customer experience and prioritize improvement initiatives based on impact potential.

Metrics Implementation

Participants learn to establish measurement frameworks including NPS, CSAT, and customer effort scores. Understanding how to collect, calculate, and interpret these metrics enables data-informed decisions about experience improvements and resource allocation.

Segmentation Expertise

The program develops skills in behavioral segmentation that goes beyond basic demographics. Graduates can identify customer groups based on interaction patterns, engagement levels, and preference indicators, enabling more targeted experience strategies.

Churn Prediction Capability

Students acquire techniques for identifying at-risk customers through cohort analysis and behavioral indicators. This predictive capability allows organizations to implement retention interventions before customer relationships deteriorate, improving long-term value.

Tools and Methodologies Covered

Journey Mapping Software

Learn to use specialized tools for creating visual journey maps that document customer touchpoints, emotions, and process flows across channels.

Survey Platforms

Work with professional survey tools for designing NPS, CSAT, and customer effort questionnaires that generate reliable feedback data.

Analytics Platforms

Utilize data analysis tools for examining customer behavior patterns, calculating retention metrics, and identifying engagement trends.

Sentiment Analysis

Apply text analysis techniques to customer feedback across channels, extracting themes and sentiment indicators from open-ended responses.

Visualization Software

Create dashboards that communicate experience metrics to stakeholders through clear visual representations of trends and patterns.

CRM Integration

Learn approaches for connecting experience data with customer relationship management systems to enable personalized interactions.

Professional Standards and Practices

Data Privacy Considerations

The program emphasizes responsible handling of customer information in compliance with privacy regulations. Participants learn principles for anonymization, secure storage, and appropriate use of personal data in analysis activities.

Understanding consent requirements and data minimization practices ensures that experience measurement initiatives respect customer privacy while gathering necessary insights.

Measurement Validity

Students explore factors that affect the reliability of customer feedback, including survey design principles, sampling considerations, and response bias mitigation techniques.

The curriculum addresses how to validate measurement instruments and ensure that metrics accurately reflect customer sentiment rather than introducing systematic errors.

Ethical Analysis Practices

The program covers ethical considerations in customer analytics, including transparency about datage, avoiding manipulative practices, and ensuring that insights benefit customer relationships.

Participants learn to balance business objectives with customer interests, developing analysis approaches that support mutually beneficial outcomes.

Who Should Enroll

CX Professionals

Customer experience managers seeking to enhance their analytical capabilities and measurement frameworks

Product Managers

Product leaders who need to understand how customers interact with offerings and identify improvement opportunities

Marketing Analysts

Marketing professionals interested in measuring campaign impact on customer satisfaction and loyalty

Service Designers

Professionals designing service experiences who benefit from understanding customer journey analysis

Learning Progress and Assessment

The program includes structured milestones that allow participants to track their developing capabilities throughout the learning journey.

1

Foundation Assessment

Initial evaluation of understanding related to customer experience concepts and measurement principles. This baseline helps instructors tailor examples and pace to participant needs.

2 Chome-10-1 Yurakucho, Chiyoda City, Tokyo 100-0006, and pain points across the customer lifecycle.

2 Chome-10-1 Yurakucho, Chiyoda City, Tokyo 100-0006, and reporting structures that align with organizational goals.

4

Analysis Capstone

Final project where participants analyze customer data, identify patterns, and develop actionable recommendations. This demonstrates integration of journey mapping, metrics, segmentation, and predictive techniques.

Start Your Customer Analytics Journey

Connect with our enrollment team to discuss program details and determine if this course aligns with your professional development goals.