2019 MIT Sloan Sports Analytics Conference: Post-Conference Survey
Thank you very much for attending the 2019 MIT Sloan Sports Analytics Conference and we hope that you had a great experience.

We would like to understand what you enjoyed about the conference and how we can improve for next year. Please complete this survey so that we can deliver a strong event next year for all attendees.

Name (optional)
Your answer
Email Address (optional)
Your answer
On a scale of 1 to 10, how satisfied were you with your experience at this year's conference? *
Not satisfied
Very satisfied
What type of ticket did you have for the conference?
How many times have you attended SSAC in the last 5 years? *
How would you compare SSAC19 to your previous SSAC experiences? (1= worst, 5 = better) *
Please indicate what contributed to your response in the previous question
Your answer
How satisfied were you with each of the following elements of the conference? *
Not satisfied
Somewhat satisfied
Very satisfied
Value of content
Breadth of panels and presentations offered
Quality of speakers / panelists
Clarity of information at the conference (e.g. signage, brochure)
Ease of registration
Mobile conference app
Contents of the welcome gift bag
Friday evening cocktail reception presented by KAGR
Professionalism of the student organizers
Quality of food
Layout of Convention Center
Opportunity to network
How could we have improved any of the above?
Your answer
What is the primary reason that you attended the conference? *
My primary sport of interest is: *
To what degree were you satisfied with the content specific to your primary area of interest? *
Not satisfied
Very Satisfied
Please check any panels that you attended at SSAC19
Of the panels that you attended, what was your favorite panel at SSAC19? (please select one)
Of the panels that you attended, what was your least favorite panel at SSAC19? (please select one)
Please select all of the Competitive Advantage Talks that you attended
Of the ones that you attended, what was your favorite Competitive Advantage Talk? (Please select one)
What was your least favorite Competitive Advantage Talk? (Please select one)
For the Competitive Advantage sessions you attended, please rate the quality and value of the content from 1-5 (or N/A)
N/A - Did not attend
Whistle While You Work: Measuring Intangibles of NBA Officials
Started from the Top, now we’re here
When Less is More: How the NBA Could Be More Like Peak TV
Optimizing a TV Tune-in Campaign: Thursday Night Football
Building Smarter Venues: How GIllette Stadium uses data to drive the bottomline
Success by the Numbers: Using Data to Impact Performance
How Sport Can Address the Integrity Challenges Arising from Sports Betting
Performance Optimization Strategies that Helped Win a Championship
The Elam Ending: Examining the Original Version’s Ability to Meet Its Aims, and Exploring Minor Modifications to Build on Its Early Promise
If You Build It, Will they Come?: Driving Value from Fan Experience
Fixing the Charge
Creating the Ultimate Fan Experience: Data-driven Insights on How to Win with Fans Even When your Team Loses
Putting Fans In Control: The Future of the Sports Experience
BeautyBall: Using Analytics to Build Beautiful Games
Compact Defending: Where has the Space Gone? FIFA Technical Study Group Analysis of the 2018 FIFA World Cup™
How Bose is Finding New Opportunities with New Data
Built to Outlast: Youth Athlete Development for Performance and Durability
Transforming the Fan Experience - the Machine Learning Renaissance
Winning with Automated Machine Learning - On and Off the Field
Learfield 365 – A Case Study in Sponsorship Analytics
Picking Winners in March Madness with Integer Programming
A Clear Brand Identity Wins
Mixing Modern and Traditional Analytics with Sport in Rural Rwanda
Going Beyond Tracking Data: Using Body-Pose for Next Generation Analytics
Baseball as a Service, Evaluating Access Based Ticketing
Fantasy 2.0 with Yahoo Sports
Leading on Inclusion: What Works?
Social Media in MLB: A Data-Driven Approach to Optimizing Strategy
Scrolling is the New Channel-Surfing: How Twitter Ads Drive TV Ratings
Team Avidity: How MLB Quantifies Fan-Team Relationships to Better Serve its Fanbases
Skating for Gold: Using Wearable Technology to Maximize Preparation For Elite Hockey Players
Data Science & the Action Network's Win Probability
The Fan - Behavioral Science and the Next Frontier in Sports
The True Cost of Tommy John Surgery in Major League Baseball
Please check any Workshops that you attended at SSAC19