Post-Match Survey Analytics

Fan Experience Data Collection & Analysis

A comprehensive survey system deployed to capture feedback from attendees at Houston Dynamo FC, Houston Dash, and Shell Energy Stadium events, providing actionable insights to enhance the fan experience through data-driven decision making.

Project Overview

The Post-Match Survey project was developed to systematically collect and analyze feedback from event attendees across all Shell Energy Stadium events. This initiative provides real-time insights into fan satisfaction, operational efficiency, and areas for improvement.

Key Objectives

  • Measure overall fan satisfaction and Net Promoter Score (NPS) across all event types
  • Identify operational pain points and service gaps in real-time
  • Track performance trends across different event types and seasonal variations
  • Enable data-driven decision making for fan experience improvements and strategic investments
  • Benchmark performance against industry standards and competitor experiences

Implementation & Data Collection

The survey system automatically generates attendee lists and deploys surveys within 24-48 hours after each event, ensuring high response rates while the experience remains fresh in attendees' minds. The automated distribution system integrates seamlessly with existing ticketing and CRM platforms.

4.5%
Average Response Rate
50+
Events per Season
5k+
Annual Responses

Survey Components

Data Analysis & Insights

Survey responses are processed in real-time through automated analytics pipelines, providing immediate visibility into fan sentiment and operational performance. Advanced text analytics and sentiment analysis extract actionable insights from open-ended feedback, while statistical trending identifies patterns across events and seasons.

Key Analytics Capabilities

  • Real-time Dashboard Monitoring - Live updates of satisfaction scores and NPS trending
  • Sentiment Analysis - Automated processing of open-ended feedback with sentiment scoring
  • Operational Alerting - Immediate notifications when satisfaction scores drop below thresholds
  • Comparative Analysis - Event-to-event comparisons and seasonal trending analysis
  • Segmentation Insights - Performance analysis by demographics, seating areas, and event types

Technical Implementation

The survey system integrates with multiple data sources and platforms to ensure comprehensive data collection and seamless analysis workflows. The architecture supports scalable data processing and real-time analytics across all organizational touchpoints.

Survey Platform
SurveyMonkey Enterprise for survey design, distribution, and initial data collection with advanced logic and branching capabilities.
Data Integration
Automated APIs connecting CRM systems, Salesforce Marketing Cloud, and ticketing platforms for seamless data flow.
Analytics Platform
PowerBI dashboards for real-time reporting, trend analysis, and executive-level performance monitoring.
AI Analytics
Natural language processing for sentiment analysis and automated categorization of open-ended feedback responses.

Business Impact & Results

The Post-Match Survey project has become a cornerstone of the organization's fan experience strategy, directly influencing operational decisions, investment priorities, and strategic planning initiatives. The systematic collection and analysis of fan feedback has enabled evidence-based improvements across all aspects of the stadium experience.

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