ABOUT THE PROJECT
Applaudience is an online data analytics dashboard to track and predict movie sales behavior in real time across multiple cinema chains. The platform allows a deep-dive sales and showtime data analysis to compare what works and what does not for a specific genre. It is a cinema sales data analytics platform that allows marketers, campaign managers, and movie executives to predict trends accurately. The behavior based on pre-sales data and geographic interest improves the ROI for their investments.
APPLAUDIENCE THROUGH NUMBERS
40
+
Days to MVP/RP
$
26
+
Designs Created
54
+
Cups of Coffee
What Applaudience Wanted:
Applaudience wanted a cinema sales data analytics platform allowing marketers, campaign managers, and movie executives to accurately predict trends and behavior based on pre-sales data and geographic interest and improve the ROI from their movie marketing campaigns and investments.
REQUIREMENTS FOR THE PROJECT
- Creating a highly user-friendly data analytics dashboard for studios that indicates tickets sold, cumulative tickets sold and looking at competitive performance
- To provide studios with every single data to optimize their campaign
- Easy-to-understand data visualizations
- Thorough user testing for the best possible interface to tell the right story with the collected data
Problem Statement:
This platform revolved around sales and market growth. It was created to facilitate studios to get quick data from cinemas playing their movies alongside competitive analysis. The platform had to be precise and data-driven, keeping in mind how users would interact with it without getting overwhelmed by the data. So telling the right story through the data was the primary concern.
ABOUT THE PROJECT
Applaudience is an online data analytics dashboard to track and predict movie sales behavior in real time across multiple cinema chains. The platform allows a deep-dive sales and showtime data analysis to compare what works and what does not for a specific genre. It is a cinema sales data analytics platform that allows marketers, campaign managers, and movie executives to predict trends accurately. The behavior based on pre-sales data and geographic interest improves the ROI for their investments.
APPLAUDIENCE THROUGH NUMBERS
40
+
Days to MVP/RP
$
26
+
Designs Created
54
+
Cups of Coffee
What Applaudience Wanted:
Applaudience wanted a cinema sales data analytics platform allowing marketers, campaign managers, and movie executives to accurately predict trends and behavior based on pre-sales data and geographic interest and improve the ROI from their movie marketing campaigns and investments.
REQUIREMENTS FOR THE PROJECT
- Creating a highly user-friendly data analytics dashboard for studios that indicates tickets sold, cumulative tickets sold and looking at competitive performance
- To provide studios with every single data to optimize their campaign
- Easy-to-understand data visualizations
- Thorough user testing for the best possible interface to tell the right story with the collected data
Problem Statement:
This platform revolved around sales and market growth. It was created to facilitate studios to get quick data from cinemas playing their movies alongside competitive analysis. The platform had to be precise and data-driven, keeping in mind how users would interact with it without getting overwhelmed by the data. So telling the right story through the data was the primary concern.
Our Solution
STACK
No items found.
- Balsamiq for wireframing
- Figma for high-fidelity designs and rapid prototyping
- Usertesting.com for conducting user tests and optimizing interface designs
- Zoom for customer interviews and feedback
SERVICES
We helped plan, design, and rapidly prototype the complete dashboard so that honest feedback could be collected from potential customers before the product went into production. We ran multiple design sprints and landed on a bunch of highly sophisticated and user-friendly data design views.
We were commissioned to plan, mock and design the data analytics dashboard for the startup. We began nailing down all the possible user stories for all types of distinct end-users to which the platform will need to cater. We designed the data visualization views to best capture the source data and turned them into actionable insights. Our principle during the process was to “Capture the story from the data” and effectively interactively visualize data.
What is a data design, and how can it help with data visualization?
When it comes to presenting any data on any platform, there is a specific process by which any data is presented. How you present this data has a significant impact on how this data will be perceived. Data might seem like a bunch of numbers, but those numbers tell you a story about a particular point in time. For example, in Applaudience, there were multiple aspects in which data was analyzed and divided into different categories such as market growth, week-to-week analysis, shows the distribution, market share, etc.
Regarding the design visualization of Applaudience for the first fold, we demonstrated the most important information for the user, such as the Movie’s Market ranking, Market Share, and Seats Sold on the 1st day of screening, 1st Weekend, and 1 Week. To make it easy for the users to pull insight from the data, we used graphs, bar charts, area charts, ordered bars, and ordered column charts.
The complete design process involved repetition of the same word types, user stories and requirements, detailed wireframe designs with multiple iterations, feedback collection, high-fidelity mockups, and rapid prototypes for user testing and pivoting. We ended up designing features that weren’t part of the initial plan because our research and feedback collection pointed in that direction. This allowed us to design and deliver a highly lean, minimalistic, and functional dashboard design.
We used multiple mockups to research the type of design visualization other cinema websites used, which gave us insight into data visualization. There was an initial design for Applaudience, but after user testing, we realized that some changes were needed to optimize the data. After multiple iterations and user testing, we finalized the design that showed the best results in user testing.
Obstacles
- A lot of data to optimize, designing the data display.
- What story do we tell through our dashboard.
- The decision of which data is important.
- The initial design was not user-friendly and prioritized the wrong data points.
What is a data design, and how can it help with data visualization?
When it comes to presenting any data on any platform, there is a specific process by which any data is presented. How you present this data has a significant impact on how this data will be perceived. Data might seem like a bunch of numbers, but those numbers tell you a story about a particular point in time. For example, in Applaudience, there were multiple aspects in which data was analyzed and divided into different categories such as market growth, week-to-week analysis, shows the distribution, market share, etc.
Regarding the design visualization of Applaudience for the first fold, we demonstrated the most important information for the user, such as the Movie’s Market ranking, Market Share, and Seats Sold on the 1st day of screening, 1st Weekend, and 1 Week. To make it easy for the users to pull insight from the data, we used graphs, bar charts, area charts, ordered bars, and ordered column charts.
The complete design process involved repetition of the same word types, user stories and requirements, detailed wireframe designs with multiple iterations, feedback collection, high-fidelity mockups, and rapid prototypes for user testing and pivoting. We ended up designing features that weren’t part of the initial plan because our research and feedback collection pointed in that direction. This allowed us to design and deliver a highly lean, minimalistic, and functional dashboard design.
We used multiple mockups to research the type of design visualization other cinema websites used, which gave us insight into data visualization. There was an initial design for Applaudience, but after user testing, we realized that some changes were needed to optimize the data. After multiple iterations and user testing, we finalized the design that showed the best results in user testing.
Obstacles
- A lot of data to optimize, designing the data display.
- What story do we tell through our dashboard.
- The decision of which data is important.
- The initial design was not user-friendly and prioritized the wrong data points.
No items found.
What is a data design, and how can it help with data visualization?
When it comes to presenting any data on any platform, there is a specific process by which any data is presented. How you present this data has a significant impact on how this data will be perceived. Data might seem like a bunch of numbers, but those numbers tell you a story about a particular point in time. For example, in Applaudience, there were multiple aspects in which data was analyzed and divided into different categories such as market growth, week-to-week analysis, shows the distribution, market share, etc.
Regarding the design visualization of Applaudience for the first fold, we demonstrated the most important information for the user, such as the Movie’s Market ranking, Market Share, and Seats Sold on the 1st day of screening, 1st Weekend, and 1 Week. To make it easy for the users to pull insight from the data, we used graphs, bar charts, area charts, ordered bars, and ordered column charts.
The complete design process involved repetition of the same word types, user stories and requirements, detailed wireframe designs with multiple iterations, feedback collection, high-fidelity mockups, and rapid prototypes for user testing and pivoting. We ended up designing features that weren’t part of the initial plan because our research and feedback collection pointed in that direction. This allowed us to design and deliver a highly lean, minimalistic, and functional dashboard design.
We used multiple mockups to research the type of design visualization other cinema websites used, which gave us insight into data visualization. There was an initial design for Applaudience, but after user testing, we realized that some changes were needed to optimize the data. After multiple iterations and user testing, we finalized the design that showed the best results in user testing.
Obstacles
- A lot of data to optimize, designing the data display.
- What story do we tell through our dashboard.
- The decision of which data is important.
- The initial design was not user-friendly and prioritized the wrong data points.
Key Points
- Design sprints around user stories and requirements.
- Wireframe development and feedback collection .
- Competitor research.
- Design system selection and usage (using Ant Design System).
- High-fidelity mockups in Figma.
- Rapid prototype for showcase.
Key Outcomes
- User-tested UI/UX design for the dashboard.
- Sophisticated data visualizations that captured key data points.
- Important screens included Movie Market Summary, Sales Explorer, Showtimes Explorer, Week-over-week Performance Analysis, and Competitor Analysis, among others.
Weologix
“Their level of commitment and willingness to form a genuine partnership with us went above and beyond”
We helped the co-founders plan, design, develop, and pivot a talent evaluation platform with an interactive dashboard for HRDs. As the company's "core product team," we created its flagship SaaS offering and maintained its DevOps infrastructure. To meet the needs of our diverse customer base, which includes bootstrapped startups and Fortune 500 conglomerates, we've created a comprehensive product line.
Read more
Monica Chitnis
CEO at Weologix
5.0
Scheduling
On time / Deadlines
5.0
Cost
Value / Within Estimates
5.0
Quality
Service & Deliverables
5.0
NPS
Wiling to refer
Client Testimonials
Applaudience
“An amazing service”
“I couldn’t be happier with the work that has been done for Applaudience; From concept research and user - testing through to final design delivery... Their focus on design thinking, continuous improvement, and questioning all assumptions allowed us to design a dashboard that not only looks clean but functions perfectly. Our clients love the data display and how easy it is to glean insights seamlessly from the trove of data being generated..."
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Gajus Kuizinas
Co-founder at Applaudience Ltd
5.0
Scheduling
On time / Deadlines
5.0
Cost
Value / Within Estimates
5.0
Quality
Service & Deliverables
5.0
NPS
Wiling to refer
