A comprehensive synopsis of the user research and UX processes applied to create emaginePOS's "Beyond Table Layout" solution.
Further, it details the next steps required to see the solution realized as an extension to the emaginePOS system.
Uday Gajendar, Principal Designer at Peel and previously of Oracle and Citrix, talks about how craft—the intentional, thoughtful design of processes and products—fits into the wicked complex design workflow for enterprise products, where massive scale and convoluted processes present huge UX challenges.
The document provides an analysis of the operational processes that make up the service model of Provino's Italian Restaurant using Arena simulation software. It first describes the key entities, resources, variables, and attributes that define the restaurant's system. It then outlines the main stages of the customer service process through a series of process flow diagrams. These include customer arrival and seating, appetizer/entree/dessert ordering and preparation, food delivery, bill payment, and customer departure. The document also discusses data collection efforts and presents results comparing the average time customers spend in the average weekday and weekend peak hour simulation models. Analysis of the results will help identify areas of the system that could be improved.
This project proposal outlines the need to replace the current manual paper-based point-of-sale (POS) system at a Japanese restaurant with a new electronic POS system. The current system is slow, error-prone, and does not allow for analysis of sales data. The new system aims to reduce paper waste, automate check calculations, speed up order processing, reduce errors, and provide digital sales data. The project will be implemented in 7 phases, including developing requirements, evaluating suppliers, selecting a supplier, implementing the new system, and closing the project. The goals are to improve customer service and allow more effective business planning through the new electronic POS system.
This document provides details of an online food delivery system project created by students at Sankalchand Patel College of Engineering. It includes an introduction to the project, objectives to create a system for online food ordering and delivery, a discussion of the existing manual system, proposed online system features, hardware and software requirements, project planning details, system design diagrams including use case, data flow, and ER diagrams, interface designs, and conclusions. The project aims to develop a software to manage online ordering of food from restaurants to improve over manual processes and provide convenience to customers.
Online food ordering system project report.pdfKamal Acharya
Online Food Ordering System is proposed for simplifies the food ordering process. ThisSystem shows an user interface and update the menu with all available options so that it eases thecustomer work. Customer can choose more than one item to make an order and can view Orderdetails before logging off. The order confirmation is sent to the customer. The order is placed inthe queue and updated in the Database and returned in real time. This system assists the staff togo through the orders in real time and process it efficiently. Online food order system is mainlydesigned primarily function for use in the food delivery industry. This system will allowhotels and restaurants to increase online food ordering such type of business. The customerscan be selected food menu items just few minutes. In the modern food industries allows toquickly and easily delivery on customer place. Restaurant employees then use these ordersthrough an easy to delivery on customer place easy find out navigate graphical interface forefficient processing .
Nowadays web services technology is widely used to integrate heterogeneous systems and develop new applications. Here an application of integration of Digtial Cafe management systems by web services technology is presented to ease the functioning of café and canteens management in Universities.
Successfully Managing Customer Experience Combining VoC and UX TestingUserZoom
1. The webinar discussed combining customer insights (VOC) and user experience (UX) testing to gain a holistic understanding of the customer experience.
2. A case study was presented where a company conducted remote usability testing on a website redesign using UserZoom to collect data from multiple countries.
3. The results from customer insights, UX testing, surveys, task success rates and other metrics provided valuable feedback to improve the customer experience on the website.
Uday Gajendar, Principal Designer at Peel and previously of Oracle and Citrix, talks about how craft—the intentional, thoughtful design of processes and products—fits into the wicked complex design workflow for enterprise products, where massive scale and convoluted processes present huge UX challenges.
The document provides an analysis of the operational processes that make up the service model of Provino's Italian Restaurant using Arena simulation software. It first describes the key entities, resources, variables, and attributes that define the restaurant's system. It then outlines the main stages of the customer service process through a series of process flow diagrams. These include customer arrival and seating, appetizer/entree/dessert ordering and preparation, food delivery, bill payment, and customer departure. The document also discusses data collection efforts and presents results comparing the average time customers spend in the average weekday and weekend peak hour simulation models. Analysis of the results will help identify areas of the system that could be improved.
This project proposal outlines the need to replace the current manual paper-based point-of-sale (POS) system at a Japanese restaurant with a new electronic POS system. The current system is slow, error-prone, and does not allow for analysis of sales data. The new system aims to reduce paper waste, automate check calculations, speed up order processing, reduce errors, and provide digital sales data. The project will be implemented in 7 phases, including developing requirements, evaluating suppliers, selecting a supplier, implementing the new system, and closing the project. The goals are to improve customer service and allow more effective business planning through the new electronic POS system.
This document provides details of an online food delivery system project created by students at Sankalchand Patel College of Engineering. It includes an introduction to the project, objectives to create a system for online food ordering and delivery, a discussion of the existing manual system, proposed online system features, hardware and software requirements, project planning details, system design diagrams including use case, data flow, and ER diagrams, interface designs, and conclusions. The project aims to develop a software to manage online ordering of food from restaurants to improve over manual processes and provide convenience to customers.
Online food ordering system project report.pdfKamal Acharya
Online Food Ordering System is proposed for simplifies the food ordering process. ThisSystem shows an user interface and update the menu with all available options so that it eases thecustomer work. Customer can choose more than one item to make an order and can view Orderdetails before logging off. The order confirmation is sent to the customer. The order is placed inthe queue and updated in the Database and returned in real time. This system assists the staff togo through the orders in real time and process it efficiently. Online food order system is mainlydesigned primarily function for use in the food delivery industry. This system will allowhotels and restaurants to increase online food ordering such type of business. The customerscan be selected food menu items just few minutes. In the modern food industries allows toquickly and easily delivery on customer place. Restaurant employees then use these ordersthrough an easy to delivery on customer place easy find out navigate graphical interface forefficient processing .
Nowadays web services technology is widely used to integrate heterogeneous systems and develop new applications. Here an application of integration of Digtial Cafe management systems by web services technology is presented to ease the functioning of café and canteens management in Universities.
Successfully Managing Customer Experience Combining VoC and UX TestingUserZoom
1. The webinar discussed combining customer insights (VOC) and user experience (UX) testing to gain a holistic understanding of the customer experience.
2. A case study was presented where a company conducted remote usability testing on a website redesign using UserZoom to collect data from multiple countries.
3. The results from customer insights, UX testing, surveys, task success rates and other metrics provided valuable feedback to improve the customer experience on the website.
Restaurant Staff Training Plan 4 Tips for Optimizing Your Online Food Orderin...spoon.tech
The "Restaurant Staff Training Plan: Optimizing Your Online Food Ordering System" is a comprehensive program designed to equip restaurant staff with the skills and knowledge necessary to effectively manage and optimize their online food ordering system. The training plan covers various aspects of online food ordering, including understanding the platform, managing orders, customer service, and resolving technical issues.
This topic aims to describe the project background, problem statement, objectives, scopes, project significance and expected output of the system.
• The system is Burger Ordering System. This is online Customer Ordering System of Restaurant, which in most cases; the company has problem with order and disordered order.
• This project intends to computerize Burger Ordering System to provide better customer service. Because of that, the restaurant can provide the easier way of travelling to the customer.
• Burger Oder system aims to accelerate customer orders.
• Burger Ordering System used by servers and kitchen employees to accept customer orders.
• An online ordering system is not a new concept to many as this has been running successfully all over the world for quite some time now.
• The whole concept behind having a professional website along with a system shows how you present yourself to the online world.
The document outlines research conducted for the design of a new point-of-sale system, including background research on the restaurant industry and POS competitors, interviews with restaurant professionals to understand user needs, and consideration of alternative POS features and options. The research identified a need for a system that can track individual customers through open social spaces using technologies like GPS and location-based apps. Key functions for the table layout component include managing tables, completing orders, and displaying staff organization.
Service design is a process in which the designer focuses on creating optimal service experiences. This requires taking a holistic view of all the related actors, their interactions, and supporting materials and infrastructures. Service design often involves the use of customer journey maps, which tell the story of different customers’ interactions with a brand, thus offering deep insights
The document summarizes an online food ordering system project completed by Mayurkumar Patel for his master's degree. The system allows customers to browse restaurant menus, place food orders, and pay online. It also gives restaurant employees access to view and manage incoming orders through a graphical interface. The project involved developing three modules - a web ordering system for customers, a menu management system for administrators, and an order retrieval system for employees. It was created using Java, JSP, HTML, and an Oracle database to provide a more convenient ordering process for both customers and restaurants.
The document discusses the architectural design for a software system for a family restaurant. It will use both the commercial system approach and communication system approach to structure the architecture. Key processes like table status, customer orders, and notifying the kitchen of ready orders will be automated. The software will use a database-centered transaction processing application to allow for the smooth management of restaurant processes and data across staff members. Authentication and authorization technologies will provide security by controlling what interfaces and data each employee role can access.
The document provides details for an RFP seeking a new electronic point-of-sale (POS) system for Hayward Japan Grill. The restaurant currently uses a manual paper-based system for taking orders, processing payments, and analyzing sales data. The new POS system should reduce paper waste, automate order processing and calculations, increase order speed and accuracy, and provide digital sales reports. Technical requirements include POS hardware like touchscreens, printers, and wireless handheld devices, as well as POS software capabilities like menu management, order sending, payment processing, and gift card handling. The goal is to choose a system meeting the objectives and requirements that improves operations and customer service.
The document discusses redesigning the grocery store checkout experience. It identifies long wait times, slow transactions, and limited payment options as key pain points. A survey found customers feel tired, frustrated, and bored standing in long queues. An empathy map examines customers' thoughts, actions, and emotions in checkout. Proposed solutions include self-checkout kiosks, smart carts using RFID, and a prototype with contactless payments and automated bagging. Testing of concepts like Amazon Go stores with no checkout is discussed as the future of grocery shopping. The conclusion is that innovative solutions can improve customer experience and benefit stores.
The document discusses applying lean practices to improve efficiency in the service industry, using a restaurant as an example. It describes how a work cell in a restaurant can be defined as the person greeting customers, taking orders, and producing/serving food. The document then provides examples of how seating customers more efficiently based on estimated stay times, standardizing order taking, processing food through standardized workflows, and delivering orders consistently can help maximize turnover and balance workloads. Regular reviews involving staff input are also recommended to continuously improve operations.
How to build a work cell can be confusing and difficult for someone that has ...Frank Rzeznikiewicz
The document discusses applying lean practices to improve efficiency in the service industry, using a restaurant as an example. It describes how a work cell in a restaurant can be defined as the person greeting customers, taking orders, and producing/serving food. The document then provides examples of how seating customers more efficiently based on estimated stay times, standardizing order taking, processing food through standardized workflows, and delivering orders consistently can help maximize turnover and balance workloads. Regular reviews involving staff inputs are also recommended to continuously improve operations.
IRJET- Restaurant Table Reservation using Graphical RepresentationIRJET Journal
This document presents a proposed system for restaurant table reservation using graphical representation. The current reservation systems rely on phone calls or online reservations but lack key functionality. The proposed system aims to address issues like long wait times, inability to select preferred tables, and inefficient restaurant ratings/reviews analysis. It involves a graphical layout of the restaurant for customers to select their preferred table. It also uses algorithms to reduce wait times and natural language processing to provide an overall rating by analyzing reviews. The system is intended to improve the customer experience and increase revenues for restaurants.
Test Everything: TrustRadius Delivers Customer Value with ExperimentationOptimizely
When done right, experimentation can help you validate the product you’re building and create winning customer experiences. And it doesn’t take a big engineering team to make this happen.
TrustRadius, the most trusted review site for business technology, uses experimentation to build an online community through website and server-side experimentation. The small but mighty TrustRadius team runs experiments throughout the buyer’s journey to engage different user personas and understand outcomes in real-time.
Watch the webinar recording featuring Rilo Stark, product manager at TrustRadius, and Jack Peden, senior software engineer, to understand their data-driven experimentation strategy and how TrustRadius uses Optimizely Web and Full Stack products to tailor experiences to different customer segments and mitigate risk through A/B/N and painted door tests.
The simulation model analyzed the operations of a campus Starbucks to evaluate performance and identify ways to decrease wait times. It modeled the customer arrival process, order and payment queue, beverage/snack ordering, and service queue. Increasing the number of servers at the service counter from 2 to 3 was found to most significantly reduce average wait times from 5.79 minutes to 0.036 minutes and the average number waiting from 3.7 to 0.
This simulation models customer flow and sales at a busy coffee shop. It finds that adding a second barista during peak hours increases sales but not enough to offset the extra wages. Keeping one barista is more profitable. Having customers wait in long lines causes some to leave without ordering, costing potential sales. Providing distractions while waiting could increase sales but may not outweigh costs. In general, the system performs best with a single barista handling demand fluctuations.
STARBUCKS SelfHelp System - Kiosk SystemTejas Garodia
STARBUCKS self-order kiosks is a web-application station at STARBUCKS café that provides quick and reliable solution for quick-service at STARBUCKS for customers that are faced with increasing slow customer service, less menu selection option, long waiting queue. It allows STARBUCKS to increase the average check amount, sell faster, less expensively and improve customer satisfaction at a low cost.
The document describes an Online Restaurant Management System (ORMS) that aims to provide online ordering and reservation services for customers and facilitate management for restaurant administrators and waiters. It discusses how the current manual system is inefficient and problematic, and how developing a computerized ORMS can help overcome these issues. The system will allow customers to view menus, make online orders and reservations, and provide feedback. It will also manage customer, waiter, and menu information to help administrators with tasks like scheduling. The document outlines the scope, objectives, methodology and expected outputs of the proposed ORMS project.
The document discusses an online food ordering system. It describes the process where a customer can order food from a restaurant through their website or mobile app for delivery or pickup. The customer selects a restaurant, views the menu, adds items to their order, and chooses a delivery method. Payment is processed with credit/debit cards or cash on delivery. The purpose is to allow customers to easily place food orders online and benefit both customers and businesses.
IRJET- Data Centric Smart Restaurant Management SystemIRJET Journal
1) The document proposes a data-centric smart restaurant management system that allows customers to order and track their food digitally through a restaurant app.
2) It recommends dishes to customers based on their past orders and collects order data to predict future orders. This helps improve efficiency and customer service.
3) The system displays orders to kitchen staff digitally, and customers can view live feeds of their order being prepared for real-time updates. It aims to streamline operations and serve more customers faster.
<404>: The Drive-Thru is a group project that required to redesign drive-thru system. We started from secondary research to primary research to make a scope of problems, and understand users and their needs. Then, we came up with alternative solutions to solve existing problems and make the systems better.
The document discusses a restaurant information system that provides integrated software solutions for quick service, table service, and hospitality operators. The system includes features like a point of sale system, business performance management tools, and a restaurant management system. It allows operators to improve customer service, automate production, control costs, and share information across locations. Making strategic, managerial, and operational decisions requires information like customer data, order histories, inventory levels, supplier information, and staff feedback. An effective information system provides this operational and performance data to support decision-making.
The investment deck for the emaginePOS "Beyond Table Layout" solution.
To view the project in its entirety, go here: http://www.slideshare.net/AlexisPolancoJr/emagineeers-final-presentation-091214-1258
AJ Polanco - Face to Face Usability Test Report for Google MapsAlexis Polanco, Jr.
The document is a usability test report for Google Maps desktop and mobile applications. It details problems encountered and positive features identified during usability testing with one participant. Key findings include the participant struggling to search for nearby locations, save locations/maps offline, and enable terrain visibility. However, the participant praised Google Maps' simple interface, drag-and-drop functionality, and history feature. The report concludes Google Maps is generally user-friendly but recommends improvements to location saving, nearby searching, and offline maps.
Restaurant Staff Training Plan 4 Tips for Optimizing Your Online Food Orderin...spoon.tech
The "Restaurant Staff Training Plan: Optimizing Your Online Food Ordering System" is a comprehensive program designed to equip restaurant staff with the skills and knowledge necessary to effectively manage and optimize their online food ordering system. The training plan covers various aspects of online food ordering, including understanding the platform, managing orders, customer service, and resolving technical issues.
This topic aims to describe the project background, problem statement, objectives, scopes, project significance and expected output of the system.
• The system is Burger Ordering System. This is online Customer Ordering System of Restaurant, which in most cases; the company has problem with order and disordered order.
• This project intends to computerize Burger Ordering System to provide better customer service. Because of that, the restaurant can provide the easier way of travelling to the customer.
• Burger Oder system aims to accelerate customer orders.
• Burger Ordering System used by servers and kitchen employees to accept customer orders.
• An online ordering system is not a new concept to many as this has been running successfully all over the world for quite some time now.
• The whole concept behind having a professional website along with a system shows how you present yourself to the online world.
The document outlines research conducted for the design of a new point-of-sale system, including background research on the restaurant industry and POS competitors, interviews with restaurant professionals to understand user needs, and consideration of alternative POS features and options. The research identified a need for a system that can track individual customers through open social spaces using technologies like GPS and location-based apps. Key functions for the table layout component include managing tables, completing orders, and displaying staff organization.
Service design is a process in which the designer focuses on creating optimal service experiences. This requires taking a holistic view of all the related actors, their interactions, and supporting materials and infrastructures. Service design often involves the use of customer journey maps, which tell the story of different customers’ interactions with a brand, thus offering deep insights
The document summarizes an online food ordering system project completed by Mayurkumar Patel for his master's degree. The system allows customers to browse restaurant menus, place food orders, and pay online. It also gives restaurant employees access to view and manage incoming orders through a graphical interface. The project involved developing three modules - a web ordering system for customers, a menu management system for administrators, and an order retrieval system for employees. It was created using Java, JSP, HTML, and an Oracle database to provide a more convenient ordering process for both customers and restaurants.
The document discusses the architectural design for a software system for a family restaurant. It will use both the commercial system approach and communication system approach to structure the architecture. Key processes like table status, customer orders, and notifying the kitchen of ready orders will be automated. The software will use a database-centered transaction processing application to allow for the smooth management of restaurant processes and data across staff members. Authentication and authorization technologies will provide security by controlling what interfaces and data each employee role can access.
The document provides details for an RFP seeking a new electronic point-of-sale (POS) system for Hayward Japan Grill. The restaurant currently uses a manual paper-based system for taking orders, processing payments, and analyzing sales data. The new POS system should reduce paper waste, automate order processing and calculations, increase order speed and accuracy, and provide digital sales reports. Technical requirements include POS hardware like touchscreens, printers, and wireless handheld devices, as well as POS software capabilities like menu management, order sending, payment processing, and gift card handling. The goal is to choose a system meeting the objectives and requirements that improves operations and customer service.
The document discusses redesigning the grocery store checkout experience. It identifies long wait times, slow transactions, and limited payment options as key pain points. A survey found customers feel tired, frustrated, and bored standing in long queues. An empathy map examines customers' thoughts, actions, and emotions in checkout. Proposed solutions include self-checkout kiosks, smart carts using RFID, and a prototype with contactless payments and automated bagging. Testing of concepts like Amazon Go stores with no checkout is discussed as the future of grocery shopping. The conclusion is that innovative solutions can improve customer experience and benefit stores.
The document discusses applying lean practices to improve efficiency in the service industry, using a restaurant as an example. It describes how a work cell in a restaurant can be defined as the person greeting customers, taking orders, and producing/serving food. The document then provides examples of how seating customers more efficiently based on estimated stay times, standardizing order taking, processing food through standardized workflows, and delivering orders consistently can help maximize turnover and balance workloads. Regular reviews involving staff input are also recommended to continuously improve operations.
How to build a work cell can be confusing and difficult for someone that has ...Frank Rzeznikiewicz
The document discusses applying lean practices to improve efficiency in the service industry, using a restaurant as an example. It describes how a work cell in a restaurant can be defined as the person greeting customers, taking orders, and producing/serving food. The document then provides examples of how seating customers more efficiently based on estimated stay times, standardizing order taking, processing food through standardized workflows, and delivering orders consistently can help maximize turnover and balance workloads. Regular reviews involving staff inputs are also recommended to continuously improve operations.
IRJET- Restaurant Table Reservation using Graphical RepresentationIRJET Journal
This document presents a proposed system for restaurant table reservation using graphical representation. The current reservation systems rely on phone calls or online reservations but lack key functionality. The proposed system aims to address issues like long wait times, inability to select preferred tables, and inefficient restaurant ratings/reviews analysis. It involves a graphical layout of the restaurant for customers to select their preferred table. It also uses algorithms to reduce wait times and natural language processing to provide an overall rating by analyzing reviews. The system is intended to improve the customer experience and increase revenues for restaurants.
Test Everything: TrustRadius Delivers Customer Value with ExperimentationOptimizely
When done right, experimentation can help you validate the product you’re building and create winning customer experiences. And it doesn’t take a big engineering team to make this happen.
TrustRadius, the most trusted review site for business technology, uses experimentation to build an online community through website and server-side experimentation. The small but mighty TrustRadius team runs experiments throughout the buyer’s journey to engage different user personas and understand outcomes in real-time.
Watch the webinar recording featuring Rilo Stark, product manager at TrustRadius, and Jack Peden, senior software engineer, to understand their data-driven experimentation strategy and how TrustRadius uses Optimizely Web and Full Stack products to tailor experiences to different customer segments and mitigate risk through A/B/N and painted door tests.
The simulation model analyzed the operations of a campus Starbucks to evaluate performance and identify ways to decrease wait times. It modeled the customer arrival process, order and payment queue, beverage/snack ordering, and service queue. Increasing the number of servers at the service counter from 2 to 3 was found to most significantly reduce average wait times from 5.79 minutes to 0.036 minutes and the average number waiting from 3.7 to 0.
This simulation models customer flow and sales at a busy coffee shop. It finds that adding a second barista during peak hours increases sales but not enough to offset the extra wages. Keeping one barista is more profitable. Having customers wait in long lines causes some to leave without ordering, costing potential sales. Providing distractions while waiting could increase sales but may not outweigh costs. In general, the system performs best with a single barista handling demand fluctuations.
STARBUCKS SelfHelp System - Kiosk SystemTejas Garodia
STARBUCKS self-order kiosks is a web-application station at STARBUCKS café that provides quick and reliable solution for quick-service at STARBUCKS for customers that are faced with increasing slow customer service, less menu selection option, long waiting queue. It allows STARBUCKS to increase the average check amount, sell faster, less expensively and improve customer satisfaction at a low cost.
The document describes an Online Restaurant Management System (ORMS) that aims to provide online ordering and reservation services for customers and facilitate management for restaurant administrators and waiters. It discusses how the current manual system is inefficient and problematic, and how developing a computerized ORMS can help overcome these issues. The system will allow customers to view menus, make online orders and reservations, and provide feedback. It will also manage customer, waiter, and menu information to help administrators with tasks like scheduling. The document outlines the scope, objectives, methodology and expected outputs of the proposed ORMS project.
The document discusses an online food ordering system. It describes the process where a customer can order food from a restaurant through their website or mobile app for delivery or pickup. The customer selects a restaurant, views the menu, adds items to their order, and chooses a delivery method. Payment is processed with credit/debit cards or cash on delivery. The purpose is to allow customers to easily place food orders online and benefit both customers and businesses.
IRJET- Data Centric Smart Restaurant Management SystemIRJET Journal
1) The document proposes a data-centric smart restaurant management system that allows customers to order and track their food digitally through a restaurant app.
2) It recommends dishes to customers based on their past orders and collects order data to predict future orders. This helps improve efficiency and customer service.
3) The system displays orders to kitchen staff digitally, and customers can view live feeds of their order being prepared for real-time updates. It aims to streamline operations and serve more customers faster.
<404>: The Drive-Thru is a group project that required to redesign drive-thru system. We started from secondary research to primary research to make a scope of problems, and understand users and their needs. Then, we came up with alternative solutions to solve existing problems and make the systems better.
The document discusses a restaurant information system that provides integrated software solutions for quick service, table service, and hospitality operators. The system includes features like a point of sale system, business performance management tools, and a restaurant management system. It allows operators to improve customer service, automate production, control costs, and share information across locations. Making strategic, managerial, and operational decisions requires information like customer data, order histories, inventory levels, supplier information, and staff feedback. An effective information system provides this operational and performance data to support decision-making.
The investment deck for the emaginePOS "Beyond Table Layout" solution.
To view the project in its entirety, go here: http://www.slideshare.net/AlexisPolancoJr/emagineeers-final-presentation-091214-1258
AJ Polanco - Face to Face Usability Test Report for Google MapsAlexis Polanco, Jr.
The document is a usability test report for Google Maps desktop and mobile applications. It details problems encountered and positive features identified during usability testing with one participant. Key findings include the participant struggling to search for nearby locations, save locations/maps offline, and enable terrain visibility. However, the participant praised Google Maps' simple interface, drag-and-drop functionality, and history feature. The report concludes Google Maps is generally user-friendly but recommends improvements to location saving, nearby searching, and offline maps.
This letter provides a strong recommendation for Alexis Polanco Jr. The writer describes AJ as talented, thoughtful, responsible and hard working with a tireless work ethic. As an employee, AJ completed all tasks self-motivated and to a high standard. AJ is skilled in graphic design, thoughtful in his work, and a team player who prioritizes the business. The writer wholeheartedly recommends AJ for employment and feels he will add value wherever he works through his skills and dedication.
This document provides branding guidelines for City-Hydroponics, LLC that are still a work-in-progress as of May 12, 2013. It outlines existing and potential taglines, specifications for the signature logo including allowed colors and formats, guidelines for using brand colors and backgrounds, options for icons/marks, and typography standards. The signature, icons, and all graphical elements must be used precisely as described to maintain a consistent brand identity.
Alexis Polanco is an experienced graphic designer seeking new opportunities. He has a dual degree in architecture and digital design from NJIT and has worked in marketing, branding, motion graphics, and video game development. He is proficient in the Adobe and Autodesk suites as well as programming languages. His work history includes positions in graphic design, UX design, marketing consulting, and architectural drafting.
The Indian government has been working over the past few years to include elements of ITS in the transport sector. This standard ensures the optimal operation of the current transport infrastructure. It also increases the efficiency, safety, comfort, and quality of the system. That is why the government created the AIS-140 standard. Compliance with this standard means all vehicles used for public transit must have panic buttons and vehicle tracking modules installed. Nevertheless, in future in the standard protocol of AIS-140 you can expect fare collection and CCTV capabilities.
Get more information here: https://blog.watsoo.com/2023/12/27/all-about-prithvi-ais-140-gps-vehicle-tracker/
1. DESIGN & TEST PLAN
SELF-SERVICE SOLUTION FOR BEYOND TABLE LAYOUT
KEY RESULTS:
1. In our test, 80% of patrons, or 8 out 10,
would choose the self-service kiosks over
traditional restaurant service.
2. On average, the time on task for patrons
using our mockup was 500% faster than
patrons who chose to have their orders
managed by traditional restaurant service.
table of contents
Created on Aug. 20, 2014:
Charlie Collick
Tasha Pruess
AJ Polanco
client:
plan - pg.1 design - pg.7 data - pg.9 conclusion - pg.12
2. design hypotheses:
Hypothesis #1:
Given a choice, 50% of patrons will choose self-service kiosks over traditional restaurant service**
Hypothesis #2:
Patrons who use self-service kiosks will have their orders sent to the cooking staff 50% faster than
those who choose to have their orders managed by traditional restaurant service**
Hypothesis #3:
Using traditional POS table layouts is 50% less efficient than tracking customer locations.***
why these hypotheses are valuable to the restaurant staff:
Assuming that the time an order is sent to the cooking staff is directly related to the time that an
order is completed, Patrons who use the self-service kiosk will be able to have their food served
quicker than those that use traditional restaurant service.
One frequent problem that we identified was how quick service establishments deal with “free
floating” customers. Many bars and restaurants cater to individuals that are not seated in a fixed
space, but rather are encouraged to“float”in a open social space. Locating these customers when
their order is complete tends to be a problem for
establishments that allow it.
While conducting our field study, we found that
there was not a one size fits all solution to this
problem, but rather each business finds its own
solution. These solutions are usually clunky and
do not rely on technology. We feel our model
for tracking patrons by the individual rather than
space will allow for quicker, more efficient service
for both“floating patrons”as well as your traditional
customer.
plan - 01
3. why these hypotheses are valuable to patrons:
If 50% of patrons choose self-service kiosks over traditional restaurant service, then that logically
supports the argument that the general manager of the restaurant can operate his / her
establishment with 50% less waitstaff.
For Example: If we assume that X restaurant has 10 employees on its wait staff at any given
time, the GM will only need to pay 5 employee salaries vs 10 salaries. This potential cost
savings is tremendous, especially if we make the assumption that the self-service kiosks
will only result in a one-time purchase & installation cost.
relevant concepts that our tests do not address:
Expediting checkout processes will result in a decrease in wait time for new arrivals. As a result,
we believe that walk-aways at the door will decrease by at least 25%.
** Traditional restaurant service is defined here as entering an establishment, being seated, and
completing order with a member of the waitstaff. We will determine the average amount of
time it takes by observing this process at a mix of establishments.
*** Although we were able to conduct field research to determine that there is in fact a need for
individual based tracking, we were not able to develop a test to prove its efficacy due to lack
of time and resources.
plan - 02
4. plan - 03
design test’s feature set:
Will include:
• Hard fixed table layouts
• Ability to track the individual patron
• Quick compile/split function for easy payment
• “Token”hardware for each unique visitor
• Customer facing ordering screen (Kiosks)
• Color-coding for customer status (waiting, order placed, waiting for check, etc.)
• Top down view of establishment and each section
Will not include:
• Mobile payment options
• mobile ordering app
• menu organization
prototype: explanation and justification
Our prototype will be a “works-like” prototype, because our main intention is to test usability vs
aesthetics (i.e.“looks-like”).
The prototype will be a touch pad interface that customers can use to directly place orders to the
bar or kitchen. It will work in a similar fashion to other customer order applications. A patron will
enter the establishment and immediately approach an order kiosk, place their initial and pay. Once
the transaction is complete, the customers are given a token and/or directed to their table. The
actual prototype will be built out as a clickable PDF in Balsamiq.
We will build out several paths with the prototype to allow the patron to get a good feel for how
the application will function. We will not only collect quantitative data for the timed tests, we want
to also gain insight into the experience through the words of the patron.
5. plan - 04
prototype: level of fidelity + level of detail
Mid Fidelity
Our prototype will be a low fidelity mock up in the sense that the styling, coloring, and layout
will be chosen later, but the fidelity to the experience of walking through an order process with
a touch pad rather than a waiter will be high fidelity (in a restaurant setting, working with touch
pad not PC, maybe mount the iPad? I would also say that our actual navigation of the application
will be high fidelity as well because we want to create an experience for the patron that will
come as close to the real thing as possible
Detail
The detail will be enough to test the efficacy of the functions and task paths but things like color,
layout, font and such may not be included in prototype.
prototype: size, in terms of screens
Hypothesis #1 & 2 - Patron Perspective:
Screen 1: Intro screen
Screen 2: Select Your Drink
Screen 3: Select Your Entree
Screen 4: Select Your Dessert
Screen 5: Review Your Order
Screen 6: Check-out Screen
Hypothesis #3 test (servers perspective):
Screen 7-15: Top down view of establishment with hard fixed booths, tables, and stools. Each
customer is identified by a “token” which appears on the screen. When an individual customer is
selected (by token number or order number), this patron appears on the screen wherever they
might be in the restaurant. This mockup would be used to test the efficiency of our system for
getting orders out to “floating” patrons, compared to the current mechanism the establishments
wetestourcurrentlyusing.Formoredescriptionofthecurrentsystemsbeingused,seeattachment
“floating patron service description”.
6. plan - 05
test method
Hypothesis #1 & 2
We will use the UX research method Usability Study to directly observe how people use self-
service kiosks to order their meals at restaurants. This method will allow us to ask questions, probe
on their behavior and allow the participants to think out loud, so they can share additional insights
as they are using the tool. Candid feedback is always helpful and often sheds light on issues that
we would never consider. We will also ask each participant to fill out a post study survey to share
demographic information and any other insights about the individual tracking tool.
Hypothesis #3
We will use the UX research method Usability Study to directly observe how people use self-
service kiosks to order their meals at restaurants. This method will allow us to ask questions, probe
on their behavior and allow the participants to think out loud, so they can share additional insights
as they are using the tool. Candid feedback is always helpful and often sheds light on issues that
we would never consider. We will also ask each participant to fill out a post study survey to share
demographic information and any other insights about the individual tracking tool.
With more time and resources, we would have set up scenarios in which we could control variables
such as # of patrons, servers on duty, the locations of the“floater”patrons, etc. We then would have
tested the establishment’s current system for serving these patrons vs. our system for serving the
patrons. We would have tested the servers based on time on task, as well as accuracy (delivering
the right order to the right patron).
qualitative study
We chose to perform a Usability Study; i.e. we want to observe our test participants using self-
service ordering kiosk. This test method is inherently qualitative because we are gathering the
data directly from our test participants.
7. plan - 06
test conduct / procedure
We will conduct our test using 5 test participants in bars and restaurants in New Brunswick and
Baltimore’s Camden Yards area. We will ask our test participants to answer one question and then
put them through a series of tasks:
Question: We will ask our patrons the following question: When you go to a restaurant, what
would you prefer when it comes to ordering your meal: to use a self-service kiosk where you
can place your order when you arrive or wait to be seated by a hostess and place your order
with your waiter/waitress?
Scenario: We will ask our test participants to use the self-service kiosk to order a meal. It is
through this scenario that will ask them to do a set of tasks. As they perform each task, we will
ask them questions and request that they think out loud to share feedback & insights.
measuring the results
We will use the performance metrics, task success, time on task and efficiency. Task success will
measure how effectively test participant are able to complete a set of tasks that we will define.
Time on task will measure the amount of time spent on a task, which is important for tasks that
are performed repeatedly. And finally, efficiency will measure the number of discrete actions
carried out to complete a task.
We expect the results of our usability study including our performance metrics to validate our
hypotheses: that if given a choice, 50% of patrons will choose self-service kiosks over traditional
restaurant service; and that patrons who use self-service kiosks will receive their order 50% faster
than those who choose traditional restaurant service.
8. design - 07
design process
We began our design process with a design studio activity that asked us to sketch the different
screens for the patron ordering screen (results below).
Screen 1: Intro screen Screen 2: Select Your Drink Screen 3: Select Your Entree
prototype screens, for hypothesis #1-2 (Client Perspective)
9. Screen 7-15:
Top down view of establishment with hard fixed booths, tables,
and stools. Each customer is identified by a “token”which appears
on the screen. When an individual customer is selected (by token
number or order number), this patron appears on the screen
wherever they might be in the restaurant.
This mockup would be used to test the efficiency of our system for
getting orders out to “floating” patrons, compared to the current
mechanism the establishments we test our currently using. For
moredescriptionofthecurrentsystemsbeingused,seeattachment
“floating patron service description”.
design - 08
Screen 4: Select Your Drink Screen 5: Order Summary Screen 6: Check-out Screen
prototype screens, for hypothesis #1-2 (cont’d)
prototype screens, for hypothesis #3 (Patron Perspective)
10. data - 09
test data
Time it takes for patrons to place order using traditional restaurant service.
Restaurant Door to Host
(seconds)
Host to Table
(seconds)
Table before
Waiter (sec)
Water to Order
Completion (s)
Total Wait
(seconds)
Total Wait
(minutes)
Olive Branch 35 20 240 60 355 5.917
Old Man
Raffertys
55 45 320 95 515 8.583
Harvest Moon 40 25 140 480 685 11.417
Brother
Jimmys
20 20 190 75 305 5.083
World of Beer 0 35 310 50 395 6.583
Average 30 29 240 760 451 7.517
“Would you prefer a self-service kiosk over traditional restaurant service?”
User 1 User 2 User 3 User 4 User 5 User 6 User 7 User 8 User 9 User 10 Total
Yes X X X X X X X X 8
No X X 2
Self-service Kiosk - Time on Task (in seconds)
User 1 User 2 User 3 User 4 User 5 User 6 User 7 User 8 User 9 User 10
Average
(seconds)
Average
(minutes)
61 74 124 54 144 71 80 63 109 111 89.1 1.485
11. data - 10
sample dining experience
Tuesday August 5, 2014
• The restaurant is a sports bar with multiple dining areas, including one for outside dining.
• My friend & I went into a restaurant, told the hostess dinner for 2, and were seated immediately.
• We were seated at 6:31pm.
• The waiter came by with water at 6:33pm.
• It took us 9 minutes to figure out our order.
• At 6:44pm, we ordered an appetizer and two entrees.
• At 6:57pm, our appetizer arrived.
• At 7:18pm, our entrees arrived.
• We asked and received the check at 7:44pm and paid shortly thereafter.
• We walked out of the restaurant at 7:51pm.
test results
Hypothesis #1
We created a first design of self-service kiosk ordering application and tested it with 10 partons.
Our first hypothesis was: given the choice 50% of patrons will choose self-service kiosks over
traditional restaurant service. In our test, 80% of patrons, or 8 out 10, would choose the self-
service kiosks over traditional restaurant service.
Hypothesis #2
Our second hypothesis was:“Patrons who use self-service kiosks will have their orders sent to
the cooking staff 50% faster than those who choose to have their orders managed by traditional
restaurant service.”Surprisingly, our prediction was VASTLY exceeded. On average, the time on
task for patrons using our mockup was ~500% faster than patrons who chose to have
their orders managed by traditional restaurant service.
12. data - 11
test results (cont’d)
Hypothesis #3
We wanted to test the server side of our system, but first we needed to find out how restaurants
currently deal with“floating”patrons.
To that end, we went into 4 quick service establishments that cater to free roaming patrons.
Although all of these establishments offer traditional sit-down, waiter service, a good portion
of their clientele order food/drinks directly from a bartender. The following are descriptions we
received from restaurant servers on they get orders to the correct patrons:
Olive Branch - Bartenders act as both order contact point as well as food runner. Patrons
approach a bartender to place an order. Once the food/drink is prepared, the kitchen signals
the bartenders (may not be the bartender who originally took the order) by ringing a bell. Once
food is picked up from the kitchen, the server will try and locate the patron by pure memory of
who placed the order. Since this establishment has no set tables and the allow patrons to freely
move about the room, there isn’t any available means of tracking the order to patrons and they
must rely on putting an order to a face.
Freddies -This is a bar/restaurant that 80% of their patrons choose to sit at the bar or booth.The
other 20% order drinks/food and stand in common areas that include wall mounted counters,
free standing cocktail tables, etc. Orders are placed at the bar and when the order is ready, the
server/bartender yells out a order number and patrons come to the bar to pick up their order
before returning to the common area. Problems with this design include, wrong order pickup,
not“finding”the patron (noisy bar), and patrons not knowing their order number.
Harvest Moon - Orders for non seated customers are placed at the bar. Because the patrons in
the common space are not seated and lack dedicated tablespace, Harvest moon only allows
full service ordering to those seated at a table or at a bar stool. Without a table you are only
allowed to order drinks and appetizers, which are then picked up directly from the bar.
Old Bay - Orders for non seated patrons are taken directly by the bartenders. During the order
the bartender asks said patron where they will be seated. The food runner locates that patron
in the aforementioned area, which seemingly causes issues with patrons not being where they
said they were going to be.
13. conclusion - 12
final thoughts
Based on our findings for hypothesis #1 and #2, we determined that there is significant interest on
the part of the patron to have some sort of system that allows the patron to directly put in an order
themselves. 8/10 patrons told us that they would be interested in trying out our system if they were
given the choice of using a traditional server or ordering from a kiosk inside the establishment. We
also confirmed that using a patron facing order system is in fact quicker to get their order to the
kitchen/bar than traditional restaurant service.
recommendations for future testing
We would like to further vet our hypotheses by setting up more detailed tests that would
account for the following variables that were out of our control:
• patron age,
• time of day
• location desirability
• type of establishment (bar/restaurant)
• “type of experience the patron is looking for”
Unfortunately we were not able to actually test hypothesis #3 because of the amount of
variables we would not be able to account for. These variables include:
1. Inconsistency in how restaurants deal with getting orders out to floating patrons.
2. The size of a space (large vs small floor plan)
3. The use of out-of-date / legacy systems
4. Number of patrons per party
Based on the descriptions of how these establishments currently deal with orders from non-
seated patrons, and the accounts provided by servers in these establishments, we feel that our
system of tracking the customer has validity and would be an attractive feature to your clients.
With additional time and resources, we could develop more structured tests to prove this.