Bet MGM


Bet MGM


Integrating stat based research to the betting process & enhancing user decision making.

Integrating stat based research to the betting process & enhancing user decision making.

    • Prototyping

    • Product Design

    • UI Design

    • Test Moderating

    • UX Research

Duties:

Figma, Figjam

Tools:

UX/UI Designer

Role:

This capstone challenged students to add a feature to an existing product while preserving the brand’s identity. I chose BetMGM, a major online sports betting (OSB) platform, and focused on a critical user need that surfaced repeatedly through research: the lack of accessible, integrated sports statistics during the betting experience.


My goal was to explore whether providing team & player statistics could increase user engagement and confidence when placing wagers.

Figma, Figjam

UX/UI Designer

Tools:

Role:

Product design, prototyping, usability test moderator

Role:

Job duties:

Case Context

tim-c.design

Adding Stat Content for User Research

Adding Stat Content for User Research

tim-c.design

  • Player points averages for over/under bets

  • Providing player points average per game, users can better guess if a player will score over or under the points scored betting line.

Insights Into Initial Designs

This guided the creation of two primary personas whose needs shaped the feature requirements and user flows.

This guided the creation of two primary personas whose needs shaped the feature requirements and user flows.

After uncovering the patterns and expectations through affinity mapping several insights quickly emerged:




After uncovering the patterns and expectations through affinity mapping several insights quickly emerged:




Bet MGM Prototype

Case Summary

This capstone challenged students to add a feature to an existing product while preserving the brand’s identity. I chose BetMGM, a major online sports betting (OSB) platform, and focused on a critical user need that surfaced repeatedly through research: the lack of accessible, integrated sports statistics during the betting experience.


My goal was to explore whether providing team & player statistics could increase user engagement and confidence when placing wagers.

Problem Solving

Problem Solving

Even though among the leading OSB platforms, BetMGM only offer limited stat info on game logs, matchup histories, or player stats within the betting flow.





Even though among the leading OSB platforms, BetMGM only offer limited stat info on game logs, matchup histories, or player stats within the betting flow.





As a result, bettors frequently leave the app to consult external stat sites, breaking their decision-making rhythm and diminishing BetMGM’s value as an all-in-one betting destination.




As a result, bettors frequently leave the app to consult external stat sites, breaking their decision-making rhythm and diminishing BetMGM’s value as an all-in-one betting destination.




As a result, bettors frequently leave the app to consult external stat sites, breaking their decision-making rhythm and diminishing BetMGM’s value as an all-in-one betting destination.




Even though among the leading OSB platforms, BetMGM only offer limited stat info on game logs, matchup histories, or player stats within the betting flow.





Along with enhancing my abilities as a UX designer, this capstone taught me how to introduce a new feature into an existing brand ecosystem without disrupting the established user experience.

Along with enhancing my abilities as a UX designer, this capstone taught me how to introduce a new feature into an existing brand ecosystem without disrupting the established user experience.

  • UX Research & Competitive Analysis



  • User Interviews



  • Usability Test Moderating



  • Prototyping

  • UX Research & Competitive Analysis



  • User Interviews



  • Usability Test Moderating



  • Prototyping

  • Nearly all tested bettors emphasized the importance of player injury reports, prompting me to integrate an injury status table into the research flow.

  • Nearly all tested bettors emphasized the importance of player injury reports, prompting me to integrate an injury status table into the research flow.

  • Nearly all tested bettors emphasized the importance of player injury reports, prompting me to integrate an injury status table into the research flow.

Users responded positively to the expanded dataset and noted that these additions aligned well with how they naturally research bets.


High-fidelity testing with both experienced and casual bettors revealed refinement opportunities to the UI's information architecture:

Users responded positively to the expanded dataset and noted that these additions aligned well with how they naturally research bets.


High-fidelity testing with both experienced and casual bettors revealed refinement opportunities to the UI's information architecture:

Final Iterations to Bring it All Together

Final Iterations to Bring it All Together

  • Access to stat research within alerts for last second changes to game odds allowing users to reaffirm their final betting decisions.

  • Access to stat research within alerts for last second changes to game odds allowing users to reaffirm their final betting decisions.

  • Access to stat research within alerts for last second changes to game odds allowing users to reaffirm their final betting decisions.

  • Added stat table content for player points research similar to stat info provided for Money Line wagers.


  • Added stat table content for player points research similar to stat info provided for Money Line wagers.


  • Added stat table content for player points research similar to stat info provided for Money Line wagers.


  • Color-coded win/loss records for easier quick view eye scanning

  • Game records of previous 3 head-to-head matchup histories.

  • Game records of previous 3 head-to-head matchup histories.

  • Color-coded win/loss records for easier quick view eye scanning

  • Game records of previous 3 head-to-head matchup histories.

  • Color-coded win/loss records for easier quick view eye scanning

The final prototype provided bettors with an intuitive, research-supported betting experience. Testers described the feature as: “Something I wish BetMGM already had” and noted that having integrated statistics increased their overall confidence in placing wagers. This project allowed me to further develop my skills with:

The final prototype provided bettors with an intuitive, research-supported betting experience. Testers described the feature as: “Something I wish BetMGM already had” and noted that having integrated statistics increased their overall confidence in placing wagers. This project allowed me to further develop my skills with:

These refinements culminated in a cohesive, brand-aligned prototype that delivered statistics exactly where users needed them.

These refinements culminated in a cohesive, brand-aligned prototype that delivered statistics exactly where users needed them.

Initial tests validated that users understood the placement of the information but wanted a broader range of stats.

Initial tests validated that users understood the placement of the information but wanted a broader range of stats.

With this feedback I was able to expand the scope of content needed for iterations into high-fidelity wireframes to include:

With this feedback I was able to expand the scope of content needed for iterations into high-fidelity wireframes to include:

Task flows based the user personas lead to mid-fidelity wireframes that explore how basic statistics could support Money Line (Win/Loss) wagers that included quick-scan stat information for team and player performance:


Task flows based the user personas lead to mid-fidelity wireframes that explore how basic statistics could support Money Line (Win/Loss) wagers that included quick-scan stat information for team and player performance:


Click each image below to read full persona biography

Click each image below to read full persona biography

  • Bettors rely heavily on third-party sites for statistics because OSB apps do not present robust data during the betting process.

  • Bettors rely heavily on third-party sites for statistics because OSB apps do not present robust data during the betting process.

  • BetMGM offers significantly fewer research tools compared to the market share leaders.

  • BetMGM offers significantly fewer research tools compared to the market share leaders.

  • Both casual and experienced bettors want stats that are quick to scan and easy to interpret.

  • Both casual and experienced bettors want stats that are quick to scan and easy to interpret.

  • Users desired an integrated research-and-betting flow rather than switching between multiple apps.

  • Users desired an integrated research-and-betting flow rather than switching between multiple apps.

Insights from user interviews described that having to rely on outside sources for player or team research as a consistent pain point, “It’s so annoying having to constantly go back and forth between the app and looking up stats”, and expressed a desire for a more streamlined process that eliminated the need to reference third-party resources.

Insights from user interviews described that having to rely on outside sources for player or team research as a consistent pain point, “It’s so annoying having to constantly go back and forth between the app and looking up stats”, and expressed a desire for a more streamlined process that eliminated the need to reference third-party resources.

Through secondary research I discovered BetMGM ranked 3rd in the OSB market share, which shows there is room to improve their betting process. Competitive analysis revealed the top OSB platforms, ahead of BetMGM, did offer some form of stat information for users within their operating system.


Through secondary research I discovered BetMGM ranked 3rd in the OSB market share, which shows there is room to improve their betting process. Competitive analysis revealed the top OSB platforms, ahead of BetMGM, did offer some form of stat information for users within their operating system.


Process

Process

Closing Insights

Closing Insights

Insights Into Initial Designs

Insights Into Initial Designs

  • The Last 6 games Win/Loss results for Money Line wagers.


  • The Last 6 games Win/Loss results for Money Line wagers.


  • Users are provided stat information on a team's win record for the last 6 previous games played.

  • Users are provided stat information on a team's win record for the last 6 previous games played.

  • Player points averages for over/under bets

  • Player points averages for over/under bets

  • Providing player points average per game, users can better estimate if a player will score over or under the points scored for a game.

  • Providing player points average per game, users can better estimate if a player will score over or under the points scored for a game.

  • The visual hierarchy of player points data needed alignment relocation that allowed for faster recognition.



  • The visual hierarchy of player points data needed alignment relocation that allowed for faster recognition.



  • Interactive icons with bigger touch points linking to deeper stat categories helped testers feel more in control of their research process.

  • Interactive icons with bigger touch points linking to deeper stat categories helped testers feel more in control of their research process.

Old


Old


New

New

  • The visual hierarchy of player points data needed alignment relocation that allowed for faster recognition.



  • Interactive icons with bigger touch points linking to deeper stat categories helped testers feel more in control of their research process.

This capstone challenged students to add a feature to an existing product while preserving the brand’s identity. I chose BetMGM, a major online sports betting (OSB) platform, and focused on a critical user need that surfaced repeatedly through research: the lack of accessible, integrated sports statistics during the betting experience.


My goal was to explore whether providing team & player statistics could increase user engagement and confidence when placing wagers.

Figma, Figjam

UX/UI Designer

Tools:

Role:

Product design, prototyping, usability test moderator

Role:

Job duties:

Case Context

tim-c.design

tim-c.design

Research & Discover

Research & Discover

BetMGM


Integrating stat based research to the betting process & enhancing user decision making.

Bet MGM


Integrating stat based research to the betting process & enhancing user decision making.

    • Prototyping

    • Product Design

    • UI Design

    • Test Moderating

    • UX Research

Duties:

Figma, Figjam

Tools:

UX/UI Designer

Role:

This capstone challenged students to add a feature to an existing product while preserving the brand’s identity. I chose BetMGM, a major online sports betting (OSB) platform, and focused on a critical user need that surfaced repeatedly through research: the lack of accessible, integrated sports statistics during the betting experience.


My goal was to explore whether providing team & player statistics could increase user engagement and confidence when placing wagers.

Figma, Figjam

UX/UI Designer

Tools:

Role:

Product design, prototyping, usability test moderator

Role:

Job duties:

Case Context

tim-c.design

Adding in-app Stat Researching

tim-c.design

  • Player points averages for over/under bets

  • Providing player points average per game, users can better guess if a player will score over or under the points scored betting line.

Insights Into Initial Designs

This guided the creation of two primary personas whose needs shaped the feature requirements and user flows.

After uncovering the patterns and expectations through affinity mapping several insights quickly emerged:




Bet MGM Prototype

Case Summary

This capstone challenged students to add a feature to an existing product while preserving the brand’s identity. I chose BetMGM, a major online sports betting (OSB) platform, and focused on a critical user need that surfaced repeatedly through research: the lack of accessible, integrated sports statistics during the betting experience.


My goal was to explore whether providing team & player statistics could increase user engagement and confidence when placing wagers.

Problem Solving

Even though among the leading OSB platforms, BetMGM only offer limited stat info on game logs, matchup histories, or player stats within the betting flow.





As a result, bettors frequently leave the app to consult external stat sites, breaking their decision-making rhythm and diminishing BetMGM’s value as an all-in-one betting destination.




As a result, bettors frequently leave the app to consult external stat sites, breaking their decision-making rhythm and diminishing BetMGM’s value as an all-in-one betting destination.




Even though among the leading OSB platforms, BetMGM only offer limited stat info on game logs, matchup histories, or player stats within the betting flow.





Along with enhancing my abilities as a UX designer, this capstone taught me how to introduce a new feature into an existing brand ecosystem without disrupting the established user experience.

  • UX Research & Competitive Analysis



  • User Interviews



  • Usability Test Moderating



  • Prototyping

  • Nearly all tested bettors emphasized the importance of player injury reports, prompting me to integrate an injury status table into the research flow.

  • Nearly all tested bettors emphasized the importance of player injury reports, prompting me to integrate an injury status table into the research flow.

  • Nearly all tested bettors emphasized the importance of player injury reports, prompting me to integrate an injury status table into the research flow.

Users responded positively to the expanded dataset and noted that these additions aligned well with how they naturally research bets.


High-fidelity testing with both experienced and casual bettors revealed refinement opportunities to the UI's information architecture:

Bringing It All Together

  • Access to stat research within alerts for last second changes to game odds allowing users to reaffirm their final betting decisions.

  • Access to stat research within alerts for last second changes to game odds allowing users to reaffirm their final betting decisions.

  • Added stat table content for player points research similar to stat info provided for Money Line wagers.


  • Added stat table content for player points research similar to stat info provided for Money Line wagers.


  • Added stat table content for player points research similar to stat info provided for Money Line wagers.


  • Color-coded win/loss records for easier quick view eye scanning

  • Game records of previous 3 head-to-head matchup histories.

  • Game records of previous 3 head-to-head matchup histories.

  • Color-coded win/loss records for easier quick view eye scanning

  • Game records of previous 3 head-to-head matchup histories.

  • Color-coded win/loss records for easier quick view eye scanning

The final prototype provided bettors with an intuitive, research-supported betting experience. Testers described the feature as: “Something I wish BetMGM already had” and noted that having integrated statistics increased their overall confidence in placing wagers. This project allowed me to further develop my skills with:

These refinements culminated in a cohesive, brand-aligned prototype that delivered statistics exactly where users needed them.

Initial tests validated that users understood the placement of the information but wanted a broader range of stats.

With this feedback I was able to expand the scope of content needed for iterations into high-fidelity wireframes to include:

Task flows based the user personas lead to mid-fidelity wireframes that explore how basic statistics could support Money Line (Win/Loss) wagers that included quick-scan stat information for team and player performance:


(Click on the linked images below to see to complete persona biography)

  • Bettors rely heavily on third-party sites for statistics because OSB apps do not present robust data during the betting process.

  • BetMGM offers significantly fewer research tools compared to the market share leaders.

  • Both casual and experienced bettors want stats that are quick to scan and easy to interpret.

  • Users desired an integrated research-and-betting flow rather than switching between multiple apps.

Insights from user interviews described that having to rely on outside sources for player or team research as a consistent pain point, “It’s so annoying having to constantly go back and forth between the app and looking up stats”, and expressed a desire for a more streamlined process that eliminated the need to reference third-party resources.


(Click the link below to see Affinity Mapped research insights)

Through secondary research I discovered BetMGM ranked 3rd in the OSB market share, which shows there is room to improve their betting process. Competitive analysis revealed the top OSB platforms, ahead of BetMGM, did offer some form of stat information for users within their operating system.


Process

Closing Insights

Insights Into Initial Designs

  • The Last 6 games Win/Loss results for Money Line wagers.


  • Users are given stat information on a team's win record for the last 6 previous games played.

  • Player points averages for over/under bets

  • Providing player points average per game, users can better estimate if a player will score over or under the points scored for a game.

  • The visual hierarchy of player points data needed alignment relocation that allowed for faster recognition.



  • Interactive icons with bigger touch points linking to deeper stat categories helped testers feel more in control of their research process.

Old


New

  • The visual hierarchy of player points data needed alignment relocation that allowed for faster recognition.



  • Interactive icons with bigger touch points linking to deeper stat categories helped testers feel more in control of their research process.

This capstone challenged students to add a feature to an existing product while preserving the brand’s identity. I chose BetMGM, a major online sports betting (OSB) platform, and focused on a critical user need that surfaced repeatedly through research: the lack of accessible, integrated sports statistics during the betting experience.


My goal was to explore whether providing team & player statistics could increase user engagement and confidence when placing wagers.

Figma, Figjam

UX/UI Designer

Tools:

Role:

Product design, prototyping, usability test moderator

Role:

Job duties:

Case Context

tim-c.design

tim-c.design

Research & Discover

BetMGM


Integrating stat based research to the betting process & enhancing user decision making.