Interactive Customer Journey Emotion Mapper & Experience Optimizer

The tool processes various data types including NPS scores, CSAT ratings, customer feedback text, support ticket sentiment, interaction timestamps, touchpoint names, customer segments, and behavioral metrics. It automatically extracts emotions from text using sentiment analysis and creates a comprehensive emotional journey visualization.

The system uses advanced sentiment analysis to categorize emotions into 8 primary states (joy, trust, fear, surprise, sadness, disgust, anger, anticipation) with intensity scores from -100 to +100. It analyzes text feedback, numerical ratings, and interaction patterns to calculate composite emotion scores for each touchpoint.

Yes, the timeline feature allows you to view emotional evolution across hours, days, weeks, or months. You can compare different periods, identify trends, and spot recurring emotional patterns. The tool also highlights significant emotional shifts and anomalies automatically.

The AI generates actionable insights including: critical pain points requiring immediate attention, moments of delight to amplify, emotion transition patterns, segment-specific recommendations, and priority improvement areas ranked by impact potential. Each insight includes specific action items and expected outcomes.

Export options include high-resolution PNG images of the journey map, interactive HTML reports, CSV data files with all metrics, and shareable links for team collaboration. You can also generate presentation-ready slides with key insights and recommendations highlighted.

The tool processes batch data inputs and can be refreshed with new data sets. While it doesn't connect to live databases, you can regularly update the data, save different versions, and share interactive views with team members for collaborative analysis and decision-making.