Boosting Security and Efficiency with an AI Chatbot and Admin Tool
The company was seeking to improve operational efficiency while maintaining data security through the development of an internal AI chatbot, SpectrumGPT. In collaboration with cross-functional teams, I played a key role in designing the Admin interface, enabling team leaders to request, customize, and manage AI chatbots.
Boosting Security and Efficiency with an AI Chatbot and Admin Tool
The company was seeking to improve operational efficiency while maintaining data security through the development of an internal AI chatbot, SpectrumGPT. In collaboration with cross-functional teams, I played a key role in designing the Admin interface, enabling team leaders to request, customize, and manage AI chatbots.
Boosting Security and Efficiency with an AI Chatbot and Admin Tool
The company was seeking to improve operational efficiency while maintaining data security through the development of an internal AI chatbot, SpectrumGPT. In collaboration with cross-functional teams, I played a key role in designing the Admin interface, enabling team leaders to request, customize, and manage AI chatbots.
Boosting Security and Efficiency with an AI Chatbot and Admin Tool
The company was seeking to improve operational efficiency while maintaining data security through the development of an internal AI chatbot, SpectrumGPT. In collaboration with cross-functional teams, I played a key role in designing the Admin interface, enabling team leaders to request, customize, and manage AI chatbots.
COmpany:
Spectrum (Charter Communications)
Project name
SpectrumGPT
Scope of work:
User Facing Web App
User Facing Web App
User Facing Web App
Admin Web App
Admin Web App
Admin Web App
Admin Web App
Stack:
Figma
Figma
Figma
Lucidchart
Lucidchart
Lucidchart
Gitlab
Gitlab
Gitlab
The company
What is Spectrum?
Spectrum is the consumer brand of Charter Communications, a major American telecommunications and mass media company. Spectrum offers many services, including high-speed internet, cable television, home phone, and mobile services.
The company
What is Spectrum?
Spectrum is the consumer brand of Charter Communications, a major American telecommunications and mass media company. Spectrum offers many services, including high-speed internet, cable television, home phone, and mobile services.
The company
What is Spectrum?
Spectrum is the consumer brand of Charter Communications, a major American telecommunications and mass media company. Spectrum offers many services, including high-speed internet, cable television, home phone, and mobile services.
The company
What is Spectrum?
Spectrum is the consumer brand of Charter Communications, a major American telecommunications and mass media company. Spectrum offers many services, including high-speed internet, cable television, home phone, and mobile services.
Problem
Let's not expose all our data
AI Chatbots have taken the world by storm. They offer functionality to help businesses drastically improve efficiency and effectiveness. However, there’s a big problem with employees of an enterprise business using ChatGPT, or another third-party chatbot - companies don’t want their secure data to be exposed. That’s why Spectrum is rushing to build their own internal chatbot to empower their stakeholders and improve their bottom line.
Problem
Let's not expose all our data
AI Chatbots have taken the world by storm. They offer functionality to help businesses drastically improve efficiency and effectiveness. However, there’s a big problem with employees of an enterprise business using ChatGPT, or another third-party chatbot - companies don’t want their secure data to be exposed. That’s why Spectrum is rushing to build their own internal chatbot to empower their stakeholders and improve their bottom line.
Problem
Let's not expose all our data
AI Chatbots have taken the world by storm. They offer functionality to help businesses drastically improve efficiency and effectiveness. However, there’s a big problem with employees of an enterprise business using ChatGPT, or another third-party chatbot - companies don’t want their secure data to be exposed. That’s why Spectrum is rushing to build their own internal chatbot to empower their stakeholders and improve their bottom line.
Problem
Let's not expose all our data
AI Chatbots have taken the world by storm. They offer functionality to help businesses drastically improve efficiency and effectiveness. However, there’s a big problem with employees of an enterprise business using ChatGPT, or another third-party chatbot - companies don’t want their secure data to be exposed. That’s why Spectrum is rushing to build their own internal chatbot to empower their stakeholders and improve their bottom line.
Solution
Consumer Chatbot & Admin Interface
Spectrum will build its own Chatbot and Admin tool called SpectrumGPT. This system will allow leaders to request a chatbot for their team, upload documents to be ingested into vector collections, test and configure chat flows, grant access, forecast budgeting, and monitor activity.
Solution
Consumer Chatbot & Admin Interface
Spectrum will build its own Chatbot and Admin tool called SpectrumGPT. This system will allow leaders to request a chatbot for their team, upload documents to be ingested into vector collections, test and configure chat flows, grant access, forecast budgeting, and monitor activity.
Solution
Consumer Chatbot & Admin Interface
Spectrum will build its own Chatbot and Admin tool called SpectrumGPT. This system will allow leaders to request a chatbot for their team, upload documents to be ingested into vector collections, test and configure chat flows, grant access, forecast budgeting, and monitor activity.
Solution
Consumer Chatbot & Admin Interface
Spectrum will build its own Chatbot and Admin tool called SpectrumGPT. This system will allow leaders to request a chatbot for their team, upload documents to be ingested into vector collections, test and configure chat flows, grant access, forecast budgeting, and monitor activity.
My Role and the Team
Two designers, One project
During this project, I collaborated with another designer. My co-worker was in charge of the landing page and end-user experience, while I led the design of the Administration tool. Despite our specific roles, we both had an impact on the designs of each page and feature. Over several weeks, our Scrum team had daily meetings with a Data Science team to develop the AI Chatbot application. Additionally, we interviewed various stakeholders within Spectrum, including members of the Press Release and IT Specialist teams. I dedicated approximately 4 months to working on this project while developing the MVP.
My Role and the Team
Two designers, One project
During this project, I collaborated with another designer. My co-worker was in charge of the landing page and end-user experience, while I led the design of the Administration tool. Despite our specific roles, we both had an impact on the designs of each page and feature. Over several weeks, our Scrum team had daily meetings with a Data Science team to develop the AI Chatbot application. Additionally, we interviewed various stakeholders within Spectrum, including members of the Press Release and IT Specialist teams. I dedicated approximately 4 months to working on this project while developing the MVP.
My Role and the Team
Two designers, One project
During this project, I collaborated with another designer. My co-worker was in charge of the landing page and end-user experience, while I led the design of the Administration tool. Despite our specific roles, we both had an impact on the designs of each page and feature. Over several weeks, our Scrum team had daily meetings with a Data Science team to develop the AI Chatbot application. Additionally, we interviewed various stakeholders within Spectrum, including members of the Press Release and IT Specialist teams. I dedicated approximately 4 months to working on this project while developing the MVP.
My Role and the Team
Two designers, One project
During this project, I collaborated with another designer. My co-worker was in charge of the landing page and end-user experience, while I led the design of the Administration tool. Despite our specific roles, we both had an impact on the designs of each page and feature. Over several weeks, our Scrum team had daily meetings with a Data Science team to develop the AI Chatbot application. Additionally, we interviewed various stakeholders within Spectrum, including members of the Press Release and IT Specialist teams. I dedicated approximately 4 months to working on this project while developing the MVP.
Project summary
From learning about GPT, to loading up a bot for your team
As a design team, my coworker and I collaborated with cross-functional team members, including Software Engineers and Data Scientists, to build an intuitive Chatbot system for Spectrum stakeholders. The product includes a landing page where users can learn more about the application and request a chatbot for their team, a web application for users to interact with their own custom chatbot, and an Admin interface that allows leaders to request a chatbot for their team, upload documents to be ingested into vector collections, test and configure chat flows, grant access, forecast budgeting, and monitor activity.
Project summary
From learning about GPT, to loading up a bot for your team
As a design team, my coworker and I collaborated with cross-functional team members, including Software Engineers and Data Scientists, to build an intuitive Chatbot system for Spectrum stakeholders. The product includes a landing page where users can learn more about the application and request a chatbot for their team, a web application for users to interact with their own custom chatbot, and an Admin interface that allows leaders to request a chatbot for their team, upload documents to be ingested into vector collections, test and configure chat flows, grant access, forecast budgeting, and monitor activity.
Project summary
From learning about GPT, to loading up a bot for your team
As a design team, my coworker and I collaborated with cross-functional team members, including Software Engineers and Data Scientists, to build an intuitive Chatbot system for Spectrum stakeholders. The product includes a landing page where users can learn more about the application and request a chatbot for their team, a web application for users to interact with their own custom chatbot, and an Admin interface that allows leaders to request a chatbot for their team, upload documents to be ingested into vector collections, test and configure chat flows, grant access, forecast budgeting, and monitor activity.
Project summary
From learning about GPT, to loading up a bot for your team
As a design team, my coworker and I collaborated with cross-functional team members, including Software Engineers and Data Scientists, to build an intuitive Chatbot system for Spectrum stakeholders. The product includes a landing page where users can learn more about the application and request a chatbot for their team, a web application for users to interact with their own custom chatbot, and an Admin interface that allows leaders to request a chatbot for their team, upload documents to be ingested into vector collections, test and configure chat flows, grant access, forecast budgeting, and monitor activity.
High-Level Requirements
Setting Up a Chatbot
A key focus area for the product is allowing a product owner or manager to request a custom AI chatbot for their team to be more efficient and effective. This process includes three main steps: Step 1 - Use Case Information: The user creates a use case name, enters their information, and info about their team and the project the use case will help with. The user uploads supporting documentation and selects 1-3 language models to try out. Step 2 - Preview: The user previews the chatbot experience using different LLMs, for example, OpenAI LLM, Linx LLM, and (Fill in LLM name). The user compares the language models. Step 3 - Selection: The user selects the best language model for the use case and submits the chatbot request.
High-Level Requirements
Setting Up a Chatbot
A key focus area for the product is allowing a product owner or manager to request a custom AI chatbot for their team to be more efficient and effective. This process includes three main steps: Step 1 - Use Case Information: The user creates a use case name, enters their information, and info about their team and the project the use case will help with. The user uploads supporting documentation and selects 1-3 language models to try out. Step 2 - Preview: The user previews the chatbot experience using different LLMs, for example, OpenAI LLM, Linx LLM, and (Fill in LLM name). The user compares the language models. Step 3 - Selection: The user selects the best language model for the use case and submits the chatbot request.
High-Level Requirements
Setting Up a Chatbot
A key focus area for the product is allowing a product owner or manager to request a custom AI chatbot for their team to be more efficient and effective. This process includes three main steps: Step 1 - Use Case Information: The user creates a use case name, enters their information, and info about their team and the project the use case will help with. The user uploads supporting documentation and selects 1-3 language models to try out. Step 2 - Preview: The user previews the chatbot experience using different LLMs, for example, OpenAI LLM, Linx LLM, and (Fill in LLM name). The user compares the language models. Step 3 - Selection: The user selects the best language model for the use case and submits the chatbot request.
High-Level Requirements
Setting Up a Chatbot
A key focus area for the product is allowing a product owner or manager to request a custom AI chatbot for their team to be more efficient and effective. This process includes three main steps: Step 1 - Use Case Information: The user creates a use case name, enters their information, and info about their team and the project the use case will help with. The user uploads supporting documentation and selects 1-3 language models to try out. Step 2 - Preview: The user previews the chatbot experience using different LLMs, for example, OpenAI LLM, Linx LLM, and (Fill in LLM name). The user compares the language models. Step 3 - Selection: The user selects the best language model for the use case and submits the chatbot request.
Pattern Study
Checking out ChatGPT and Azure
We analyzed several LLMs to deepen our knowledge on this area. Our efforts were divided into study of end-user chatbot UI, and Administrator tool UI. Leadership emphasized their desire to mimic aspects Microsoft Azure administration software. We modeled our chat preview design closely after the OpenAI screen below.
Pattern Study
Checking out ChatGPT and Azure
We analyzed several LLMs to deepen our knowledge on this area. Our efforts were divided into study of end-user chatbot UI, and Administrator tool UI. Leadership emphasized their desire to mimic aspects Microsoft Azure administration software. We modeled our chat preview design closely after the OpenAI screen below.
Pattern Study
Checking out ChatGPT and Azure
We analyzed several LLMs to deepen our knowledge on this area. Our efforts were divided into study of end-user chatbot UI, and Administrator tool UI. Leadership emphasized their desire to mimic aspects Microsoft Azure administration software. We modeled our chat preview design closely after the OpenAI screen below.
Pattern Study
Checking out ChatGPT and Azure
We analyzed several LLMs to deepen our knowledge on this area. Our efforts were divided into study of end-user chatbot UI, and Administrator tool UI. Leadership emphasized their desire to mimic aspects Microsoft Azure administration software. We modeled our chat preview design closely after the OpenAI screen below.
Use Cases
Understanding the Three Key Departments
Leadership identified three use cases which would be our initial focus for teams who could make the best use of a custom chatbot, with the Press Release department being the key focus.
Use Cases
Understanding the Three Key Departments
Leadership identified three use cases which would be our initial focus for teams who could make the best use of a custom chatbot, with the Press Release department being the key focus.
Use Cases
Understanding the Three Key Departments
Leadership identified three use cases which would be our initial focus for teams who could make the best use of a custom chatbot, with the Press Release department being the key focus.
Use Cases
Understanding the Three Key Departments
Leadership identified three use cases which would be our initial focus for teams who could make the best use of a custom chatbot, with the Press Release department being the key focus.
Press Releases
Spectrum's MVP rollout initially targeted press releases as a key use case. Large companies like Spectrum regularly issue press statements concerning new product launches, quarterly earnings, partnerships, and more. Crafting these statements involves repetitive tasks following a specified writing style, formats, and information-sharing formulas. The writing must adhere to proper grammar, spelling, and a corporate tone. Press releases also entail accurately presenting company data and figures, necessitating precise input of large numbers. Due to the somewhat repetitive and formulaic nature of this task, and the demand for precision and proper language, press releases were considered the ideal use case for SpectrumGPT's MVP.
Press Releases
Spectrum's MVP rollout initially targeted press releases as a key use case. Large companies like Spectrum regularly issue press statements concerning new product launches, quarterly earnings, partnerships, and more. Crafting these statements involves repetitive tasks following a specified writing style, formats, and information-sharing formulas. The writing must adhere to proper grammar, spelling, and a corporate tone. Press releases also entail accurately presenting company data and figures, necessitating precise input of large numbers. Due to the somewhat repetitive and formulaic nature of this task, and the demand for precision and proper language, press releases were considered the ideal use case for SpectrumGPT's MVP.
Press Releases
Spectrum's MVP rollout initially targeted press releases as a key use case. Large companies like Spectrum regularly issue press statements concerning new product launches, quarterly earnings, partnerships, and more. Crafting these statements involves repetitive tasks following a specified writing style, formats, and information-sharing formulas. The writing must adhere to proper grammar, spelling, and a corporate tone. Press releases also entail accurately presenting company data and figures, necessitating precise input of large numbers. Due to the somewhat repetitive and formulaic nature of this task, and the demand for precision and proper language, press releases were considered the ideal use case for SpectrumGPT's MVP.
Press Releases
Spectrum's MVP rollout initially targeted press releases as a key use case. Large companies like Spectrum regularly issue press statements concerning new product launches, quarterly earnings, partnerships, and more. Crafting these statements involves repetitive tasks following a specified writing style, formats, and information-sharing formulas. The writing must adhere to proper grammar, spelling, and a corporate tone. Press releases also entail accurately presenting company data and figures, necessitating precise input of large numbers. Due to the somewhat repetitive and formulaic nature of this task, and the demand for precision and proper language, press releases were considered the ideal use case for SpectrumGPT's MVP.
IT Specialist
The role of IT Support Specialists is vital in maintaining Spectrum’s IT infrastructure. They tackle various technical issues, from troubleshooting software problems to handling hardware malfunctions. The chatbot designed for IT Support Specialists offers quick access to technical documentation, step-by-step troubleshooting guides, and support ticket management. By leveraging the chatbot, IT Specialists can address issues more efficiently, minimizing downtime and improving overall system reliability. The chatbot can also assist in identifying common problems, suggesting potential solutions, and automating routine tasks, enabling IT Specialists to focus on more complex issues.
IT Specialist
The role of IT Support Specialists is vital in maintaining Spectrum’s IT infrastructure. They tackle various technical issues, from troubleshooting software problems to handling hardware malfunctions. The chatbot designed for IT Support Specialists offers quick access to technical documentation, step-by-step troubleshooting guides, and support ticket management. By leveraging the chatbot, IT Specialists can address issues more efficiently, minimizing downtime and improving overall system reliability. The chatbot can also assist in identifying common problems, suggesting potential solutions, and automating routine tasks, enabling IT Specialists to focus on more complex issues.
IT Specialist
The role of IT Support Specialists is vital in maintaining Spectrum’s IT infrastructure. They tackle various technical issues, from troubleshooting software problems to handling hardware malfunctions. The chatbot designed for IT Support Specialists offers quick access to technical documentation, step-by-step troubleshooting guides, and support ticket management. By leveraging the chatbot, IT Specialists can address issues more efficiently, minimizing downtime and improving overall system reliability. The chatbot can also assist in identifying common problems, suggesting potential solutions, and automating routine tasks, enabling IT Specialists to focus on more complex issues.
IT Specialist
The role of IT Support Specialists is vital in maintaining Spectrum’s IT infrastructure. They tackle various technical issues, from troubleshooting software problems to handling hardware malfunctions. The chatbot designed for IT Support Specialists offers quick access to technical documentation, step-by-step troubleshooting guides, and support ticket management. By leveraging the chatbot, IT Specialists can address issues more efficiently, minimizing downtime and improving overall system reliability. The chatbot can also assist in identifying common problems, suggesting potential solutions, and automating routine tasks, enabling IT Specialists to focus on more complex issues.
Customer Service
Spectrum’s Customer Service Representatives (CSRs) deal with a high volume of customer inquiries daily, ranging from billing questions to technical support and service requests. The chatbot for customer service automation aims to aid CSRs by providing swift and accurate responses to common questions, managing routine tasks, and routing more complex issues to human agents when necessary. This automation helps reduce response times, enhance customer satisfaction, and free up CSRs to handle more complex customer interactions. Furthermore, the chatbot can furnish CSRs with pertinent information and context about the customer’s history, facilitating more personalized and effective service.
Customer Service
Spectrum’s Customer Service Representatives (CSRs) deal with a high volume of customer inquiries daily, ranging from billing questions to technical support and service requests. The chatbot for customer service automation aims to aid CSRs by providing swift and accurate responses to common questions, managing routine tasks, and routing more complex issues to human agents when necessary. This automation helps reduce response times, enhance customer satisfaction, and free up CSRs to handle more complex customer interactions. Furthermore, the chatbot can furnish CSRs with pertinent information and context about the customer’s history, facilitating more personalized and effective service.
Customer Service
Spectrum’s Customer Service Representatives (CSRs) deal with a high volume of customer inquiries daily, ranging from billing questions to technical support and service requests. The chatbot for customer service automation aims to aid CSRs by providing swift and accurate responses to common questions, managing routine tasks, and routing more complex issues to human agents when necessary. This automation helps reduce response times, enhance customer satisfaction, and free up CSRs to handle more complex customer interactions. Furthermore, the chatbot can furnish CSRs with pertinent information and context about the customer’s history, facilitating more personalized and effective service.
Customer Service
Spectrum’s Customer Service Representatives (CSRs) deal with a high volume of customer inquiries daily, ranging from billing questions to technical support and service requests. The chatbot for customer service automation aims to aid CSRs by providing swift and accurate responses to common questions, managing routine tasks, and routing more complex issues to human agents when necessary. This automation helps reduce response times, enhance customer satisfaction, and free up CSRs to handle more complex customer interactions. Furthermore, the chatbot can furnish CSRs with pertinent information and context about the customer’s history, facilitating more personalized and effective service.
Personas
Learning About the Three Main Personas
While our main focus for the MVP was to develop a pilot product for the Press Release team (detailed persona below), we also engaged in persona exercises to gain a deep understanding and connect with other important users within the organization. These users included: • Customer Service Representatives: These users need a chatbot to assist with customer inquiries, provide quick responses, and manage common issues. The chatbot must be reliable and user-friendly to increase their efficiency and enhance customer satisfaction. • Software Engineers: These users require a chatbot to proofread code, check data figures, and provide quick access to technical documentation. Accuracy and efficiency are crucial for their tasks, making the chatbot an essential tool for their daily operations. • IT Support Specialists: These users handle a wide range of technical issues and ensure smooth operations. The chatbot helps them quickly access technical documentation, troubleshoot problems, and efficiently manage support tickets. By taking into account these additional personas, we aimed to create a versatile and comprehensive solution that addresses the diverse needs of various departments within Spectrum.
Personas
Learning About the Three Main Personas
While our main focus for the MVP was to develop a pilot product for the Press Release team (detailed persona below), we also engaged in persona exercises to gain a deep understanding and connect with other important users within the organization. These users included: • Customer Service Representatives: These users need a chatbot to assist with customer inquiries, provide quick responses, and manage common issues. The chatbot must be reliable and user-friendly to increase their efficiency and enhance customer satisfaction. • Software Engineers: These users require a chatbot to proofread code, check data figures, and provide quick access to technical documentation. Accuracy and efficiency are crucial for their tasks, making the chatbot an essential tool for their daily operations. • IT Support Specialists: These users handle a wide range of technical issues and ensure smooth operations. The chatbot helps them quickly access technical documentation, troubleshoot problems, and efficiently manage support tickets. By taking into account these additional personas, we aimed to create a versatile and comprehensive solution that addresses the diverse needs of various departments within Spectrum.
Personas
Learning About the Three Main Personas
While our main focus for the MVP was to develop a pilot product for the Press Release team (detailed persona below), we also engaged in persona exercises to gain a deep understanding and connect with other important users within the organization. These users included: • Customer Service Representatives: These users need a chatbot to assist with customer inquiries, provide quick responses, and manage common issues. The chatbot must be reliable and user-friendly to increase their efficiency and enhance customer satisfaction. • Software Engineers: These users require a chatbot to proofread code, check data figures, and provide quick access to technical documentation. Accuracy and efficiency are crucial for their tasks, making the chatbot an essential tool for their daily operations. • IT Support Specialists: These users handle a wide range of technical issues and ensure smooth operations. The chatbot helps them quickly access technical documentation, troubleshoot problems, and efficiently manage support tickets. By taking into account these additional personas, we aimed to create a versatile and comprehensive solution that addresses the diverse needs of various departments within Spectrum.
Personas
Learning About the Three Main Personas
While our main focus for the MVP was to develop a pilot product for the Press Release team (detailed persona below), we also engaged in persona exercises to gain a deep understanding and connect with other important users within the organization. These users included: • Customer Service Representatives: These users need a chatbot to assist with customer inquiries, provide quick responses, and manage common issues. The chatbot must be reliable and user-friendly to increase their efficiency and enhance customer satisfaction. • Software Engineers: These users require a chatbot to proofread code, check data figures, and provide quick access to technical documentation. Accuracy and efficiency are crucial for their tasks, making the chatbot an essential tool for their daily operations. • IT Support Specialists: These users handle a wide range of technical issues and ensure smooth operations. The chatbot helps them quickly access technical documentation, troubleshoot problems, and efficiently manage support tickets. By taking into account these additional personas, we aimed to create a versatile and comprehensive solution that addresses the diverse needs of various departments within Spectrum.
Journey Mapping
Deep Dive on the User's Process
Emily Johnson is a seasoned Press Release Manager at Spectrum, responsible for drafting and publishing press releases that adhere to corporate tone and formatting guidelines. With a keen eye for detail and a drive for efficiency, Emily is always on the lookout for tools that can streamline her workflow and ensure accuracy. The journey map above outlines Emily’s experience discovering SpectrumGPT, onboarding, completing the intake process, comparing chat models, and finalizing her request for a custom chatbot to assist her team. In addition to Emily’s journey, we also developed journey maps for Customer Service Representatives and IT Specialists to ensure our solution addresses the diverse needs of various key users within Spectrum.
Journey Mapping
Deep Dive on the User's Process
Emily Johnson is a seasoned Press Release Manager at Spectrum, responsible for drafting and publishing press releases that adhere to corporate tone and formatting guidelines. With a keen eye for detail and a drive for efficiency, Emily is always on the lookout for tools that can streamline her workflow and ensure accuracy. The journey map above outlines Emily’s experience discovering SpectrumGPT, onboarding, completing the intake process, comparing chat models, and finalizing her request for a custom chatbot to assist her team. In addition to Emily’s journey, we also developed journey maps for Customer Service Representatives and IT Specialists to ensure our solution addresses the diverse needs of various key users within Spectrum.
Journey Mapping
Deep Dive on the User's Process
Emily Johnson is a seasoned Press Release Manager at Spectrum, responsible for drafting and publishing press releases that adhere to corporate tone and formatting guidelines. With a keen eye for detail and a drive for efficiency, Emily is always on the lookout for tools that can streamline her workflow and ensure accuracy. The journey map above outlines Emily’s experience discovering SpectrumGPT, onboarding, completing the intake process, comparing chat models, and finalizing her request for a custom chatbot to assist her team. In addition to Emily’s journey, we also developed journey maps for Customer Service Representatives and IT Specialists to ensure our solution addresses the diverse needs of various key users within Spectrum.
Journey Mapping
Deep Dive on the User's Process
Emily Johnson is a seasoned Press Release Manager at Spectrum, responsible for drafting and publishing press releases that adhere to corporate tone and formatting guidelines. With a keen eye for detail and a drive for efficiency, Emily is always on the lookout for tools that can streamline her workflow and ensure accuracy. The journey map above outlines Emily’s experience discovering SpectrumGPT, onboarding, completing the intake process, comparing chat models, and finalizing her request for a custom chatbot to assist her team. In addition to Emily’s journey, we also developed journey maps for Customer Service Representatives and IT Specialists to ensure our solution addresses the diverse needs of various key users within Spectrum.
Architecture
Product Owner with Ingest Server and Consumer with ChatServer Data Model
This diagram shows how a Product Owner uploads documents to the Ingest Server and how the Consumer interacts with the ChatServer. It also displays the inner workings of the Ingest Server with Langchain JS and Embeddings, as well as the dynamics of the embeddings reaching the Vector Database, and the process of the question embedding to semantic search, to Vector DB, to ranked results, LLM API Call at Azure or OpenAI, and finally the answer returning to the user.
Architecture
Product Owner with Ingest Server and Consumer with ChatServer Data Model
This diagram shows how a Product Owner uploads documents to the Ingest Server and how the Consumer interacts with the ChatServer. It also displays the inner workings of the Ingest Server with Langchain JS and Embeddings, as well as the dynamics of the embeddings reaching the Vector Database, and the process of the question embedding to semantic search, to Vector DB, to ranked results, LLM API Call at Azure or OpenAI, and finally the answer returning to the user.
Architecture
Product Owner with Ingest Server and Consumer with ChatServer Data Model
This diagram shows how a Product Owner uploads documents to the Ingest Server and how the Consumer interacts with the ChatServer. It also displays the inner workings of the Ingest Server with Langchain JS and Embeddings, as well as the dynamics of the embeddings reaching the Vector Database, and the process of the question embedding to semantic search, to Vector DB, to ranked results, LLM API Call at Azure or OpenAI, and finally the answer returning to the user.
Architecture
Product Owner with Ingest Server and Consumer with ChatServer Data Model
This diagram shows how a Product Owner uploads documents to the Ingest Server and how the Consumer interacts with the ChatServer. It also displays the inner workings of the Ingest Server with Langchain JS and Embeddings, as well as the dynamics of the embeddings reaching the Vector Database, and the process of the question embedding to semantic search, to Vector DB, to ranked results, LLM API Call at Azure or OpenAI, and finally the answer returning to the user.
Flow Diagram
Use Case Intake Request and Approval
This chart shows the lifecycle of a Use Case from the Intake process, to approval, development, monitoring, and finally deprecation. To initiate a new chatbot Use Case, a team leader must complete an intake within the SpectrumGPT system. If company leadership determine this Use Case to be worthy of the effort required, a development team will then determine the level of effort. If the use case reaches approval, an engineering team determines if the use case fits within an “Existing Pattern” and can be easily configured using the existing software infrastructure. If necessary, development and testing will be completed, followed by configuration. Prior to publishing the use case, board, budget, and legal approval are also required. Following shipping of the Use Case into production, ongoing monitoring is conducted to measure cost impact, as well as monitoring vulnerabilities, and guarding from all misuse. Each Chatbot may include futire iterations with ongoing configuration and maintenance.
Flow Diagram
Use Case Intake Request and Approval
This chart shows the lifecycle of a Use Case from the Intake process, to approval, development, monitoring, and finally deprecation. To initiate a new chatbot Use Case, a team leader must complete an intake within the SpectrumGPT system. If company leadership determine this Use Case to be worthy of the effort required, a development team will then determine the level of effort. If the use case reaches approval, an engineering team determines if the use case fits within an “Existing Pattern” and can be easily configured using the existing software infrastructure. If necessary, development and testing will be completed, followed by configuration. Prior to publishing the use case, board, budget, and legal approval are also required. Following shipping of the Use Case into production, ongoing monitoring is conducted to measure cost impact, as well as monitoring vulnerabilities, and guarding from all misuse. Each Chatbot may include futire iterations with ongoing configuration and maintenance.
Flow Diagram
Use Case Intake Request and Approval
This chart shows the lifecycle of a Use Case from the Intake process, to approval, development, monitoring, and finally deprecation. To initiate a new chatbot Use Case, a team leader must complete an intake within the SpectrumGPT system. If company leadership determine this Use Case to be worthy of the effort required, a development team will then determine the level of effort. If the use case reaches approval, an engineering team determines if the use case fits within an “Existing Pattern” and can be easily configured using the existing software infrastructure. If necessary, development and testing will be completed, followed by configuration. Prior to publishing the use case, board, budget, and legal approval are also required. Following shipping of the Use Case into production, ongoing monitoring is conducted to measure cost impact, as well as monitoring vulnerabilities, and guarding from all misuse. Each Chatbot may include futire iterations with ongoing configuration and maintenance.
Flow Diagram
Use Case Intake Request and Approval
This chart shows the lifecycle of a Use Case from the Intake process, to approval, development, monitoring, and finally deprecation. To initiate a new chatbot Use Case, a team leader must complete an intake within the SpectrumGPT system. If company leadership determine this Use Case to be worthy of the effort required, a development team will then determine the level of effort. If the use case reaches approval, an engineering team determines if the use case fits within an “Existing Pattern” and can be easily configured using the existing software infrastructure. If necessary, development and testing will be completed, followed by configuration. Prior to publishing the use case, board, budget, and legal approval are also required. Following shipping of the Use Case into production, ongoing monitoring is conducted to measure cost impact, as well as monitoring vulnerabilities, and guarding from all misuse. Each Chatbot may include futire iterations with ongoing configuration and maintenance.
Collaboration
Gelling with the Data Science Team
For several weeks leading up to engineering kickoff for this project, our scrum team was introduced to a team of Data Scientists, who joined our morning standups and other sprint ceremony meetings. This allowed us to form a working relationships and see things from one another’s perspective.
Collaboration
Gelling with the Data Science Team
For several weeks leading up to engineering kickoff for this project, our scrum team was introduced to a team of Data Scientists, who joined our morning standups and other sprint ceremony meetings. This allowed us to form a working relationships and see things from one another’s perspective.
Collaboration
Gelling with the Data Science Team
For several weeks leading up to engineering kickoff for this project, our scrum team was introduced to a team of Data Scientists, who joined our morning standups and other sprint ceremony meetings. This allowed us to form a working relationships and see things from one another’s perspective.
Collaboration
Gelling with the Data Science Team
For several weeks leading up to engineering kickoff for this project, our scrum team was introduced to a team of Data Scientists, who joined our morning standups and other sprint ceremony meetings. This allowed us to form a working relationships and see things from one another’s perspective.
Wireframes
Sketching Screens for Use Cases
We used low-fidelity sketches to validate concepts with leadership. (Include some details - make up something about feedback from stakeholders about the “Use Cases Index” page on what information would be most critical to see in the data table from each index.)Aligning with Engineering for the MVPTo ensure the MVP met all technical requirements, we held regular sync meetings with the engineering team. These sessions were crucial for aligning on the technical feasibility of our designs and making necessary adjustments based on engineering feedback.
Wireframes
Sketching Screens for Use Cases
We used low-fidelity sketches to validate concepts with leadership. (Include some details - make up something about feedback from stakeholders about the “Use Cases Index” page on what information would be most critical to see in the data table from each index.)Aligning with Engineering for the MVPTo ensure the MVP met all technical requirements, we held regular sync meetings with the engineering team. These sessions were crucial for aligning on the technical feasibility of our designs and making necessary adjustments based on engineering feedback.
Wireframes
Sketching Screens for Use Cases
We used low-fidelity sketches to validate concepts with leadership. (Include some details - make up something about feedback from stakeholders about the “Use Cases Index” page on what information would be most critical to see in the data table from each index.)Aligning with Engineering for the MVPTo ensure the MVP met all technical requirements, we held regular sync meetings with the engineering team. These sessions were crucial for aligning on the technical feasibility of our designs and making necessary adjustments based on engineering feedback.
Wireframes
Sketching Screens for Use Cases
We used low-fidelity sketches to validate concepts with leadership. (Include some details - make up something about feedback from stakeholders about the “Use Cases Index” page on what information would be most critical to see in the data table from each index.)Aligning with Engineering for the MVPTo ensure the MVP met all technical requirements, we held regular sync meetings with the engineering team. These sessions were crucial for aligning on the technical feasibility of our designs and making necessary adjustments based on engineering feedback.
Design
Design
My Coworker's Work
My Coworker's Work
My Coworker's Work
My Coworker's Work
Request Website
Request Website
This page serves as a landing page stating “Welcome to SpectrumGPT” and a button to request a use case. The page also displays example prompts, a preview of the chatbot, info about the available LLMs, Frequently Asked Questions, and a way to reach out with additional questions.
Design Slideshow
My Coworker's Work
End User Experience
This includes the Chatbot interaction, with tabs on the left for chat titles and the chat interface in the center. It also includes a drawer for chat settings.
My Coworker's Work
Chat Settings
This drawer feature allows the user to update settings during a live chat session, including Conversation Name, Writing Style and Tone.
My Coworker's Work
Intake form - Information
The chatbot request intake Form is broken into three steps - Information, Chat Comparison, and Finalize.
My Coworker's Work
Intake - Chat Comparison
This step allows the user to test out different LLMs, and decide which model to use for their team's chatbot.
My Design Work
Use Case Index
This page includes a search and filter, a table of active use cases, and a CTA button for a user to “Request a use case.”
My Design Work
Use Case Overview
After the user clicks on the blue text link from the User Index with the Use Case name, they are directed to the Use Case Overview page.
My Design Work
Global Documents
This tab has a table with documents that may be frequently used for different use cases, along with a search and a way to add a document.
My Design Work
Learn Drawer
The Use Case Overview page features a link for “Learn” which opens a drawer presenting helpful information about whichever tab the user is currently on.
My Coworker's Work
Form Editor
The Form Editor is a page that allows chatbot supervisors to modify the Use Case Input form. The patterns on this UI are reused from
My Coworker's Work
Form Editor
The Form Editor is a page that allows chatbot supervisors to modify the Use Case Input form. The patterns on this UI are reused from
Focus Groups
Recieving feedback
We presented our prototype flows to individual contributors and managers from our key focus departments including: • Press Release • Customer Service • IT Specialists
Focus Groups
Recieving feedback
We presented our prototype flows to individual contributors and managers from our key focus departments including: • Press Release • Customer Service • IT Specialists
Focus Groups
Recieving feedback
We presented our prototype flows to individual contributors and managers from our key focus departments including: • Press Release • Customer Service • IT Specialists
Focus Groups
Recieving feedback
We presented our prototype flows to individual contributors and managers from our key focus departments including: • Press Release • Customer Service • IT Specialists
Design Update
Change Jira Status from Use Case Overview
We recieved feedback that users would love to be able to change the status of the associated Jira ticket directly from the Use Case Overview page. After discussing with the engineering team, we determined that this feature would be technically feasible. The new design uses a tag with a drop menu to change the status.
Design Update
Change Jira Status from Use Case Overview
We recieved feedback that users would love to be able to change the status of the associated Jira ticket directly from the Use Case Overview page. After discussing with the engineering team, we determined that this feature would be technically feasible. The new design uses a tag with a drop menu to change the status.
Design Update
Change Jira Status from Use Case Overview
We recieved feedback that users would love to be able to change the status of the associated Jira ticket directly from the Use Case Overview page. After discussing with the engineering team, we determined that this feature would be technically feasible. The new design uses a tag with a drop menu to change the status.
Design Update
Change Jira Status from Use Case Overview
We recieved feedback that users would love to be able to change the status of the associated Jira ticket directly from the Use Case Overview page. After discussing with the engineering team, we determined that this feature would be technically feasible. The new design uses a tag with a drop menu to change the status.
Usability Testing
Testing Prototype Flows
One-on-one testing sessions with participants were conducted to evaluate user behaviors and prototypes for system improvements. During these sessions, we guided users through various scenarios, observing their interactions with the chatbot and admin tool. This allowed us to identify pain points and gather valuable feedback for refining the user experience. For example, users found the “Use Cases Index” page particularly useful but suggested adding a column for the “Last Updated” date to keep track of recent changes.
Usability Testing
Testing Prototype Flows
One-on-one testing sessions with participants were conducted to evaluate user behaviors and prototypes for system improvements. During these sessions, we guided users through various scenarios, observing their interactions with the chatbot and admin tool. This allowed us to identify pain points and gather valuable feedback for refining the user experience. For example, users found the “Use Cases Index” page particularly useful but suggested adding a column for the “Last Updated” date to keep track of recent changes.
Usability Testing
Testing Prototype Flows
One-on-one testing sessions with participants were conducted to evaluate user behaviors and prototypes for system improvements. During these sessions, we guided users through various scenarios, observing their interactions with the chatbot and admin tool. This allowed us to identify pain points and gather valuable feedback for refining the user experience. For example, users found the “Use Cases Index” page particularly useful but suggested adding a column for the “Last Updated” date to keep track of recent changes.
Usability Testing
Testing Prototype Flows
One-on-one testing sessions with participants were conducted to evaluate user behaviors and prototypes for system improvements. During these sessions, we guided users through various scenarios, observing their interactions with the chatbot and admin tool. This allowed us to identify pain points and gather valuable feedback for refining the user experience. For example, users found the “Use Cases Index” page particularly useful but suggested adding a column for the “Last Updated” date to keep track of recent changes.
Design Updates
Adjustments to Role Assignment
We made several adjustments to the design as a result of feedback:For the Role Assignment tab on the Use Case Overview page, we simplified the experience significantly. Initially, at the request of our engineering director, we had used three sections to add different types of users - End Users, Administrators, and Watchers. The updated design includes a simple two column layout with a search directory on the left and Assigned Users on the right. It maintains the distinction of roles by adding a piece of text under the users name within their profile row.
Design Updates
Adjustments to Role Assignment
We made several adjustments to the design as a result of feedback:For the Role Assignment tab on the Use Case Overview page, we simplified the experience significantly. Initially, at the request of our engineering director, we had used three sections to add different types of users - End Users, Administrators, and Watchers. The updated design includes a simple two column layout with a search directory on the left and Assigned Users on the right. It maintains the distinction of roles by adding a piece of text under the users name within their profile row.
Design Updates
Adjustments to Role Assignment
We made several adjustments to the design as a result of feedback:For the Role Assignment tab on the Use Case Overview page, we simplified the experience significantly. Initially, at the request of our engineering director, we had used three sections to add different types of users - End Users, Administrators, and Watchers. The updated design includes a simple two column layout with a search directory on the left and Assigned Users on the right. It maintains the distinction of roles by adding a piece of text under the users name within their profile row.
Design Updates
Adjustments to Role Assignment
We made several adjustments to the design as a result of feedback:For the Role Assignment tab on the Use Case Overview page, we simplified the experience significantly. Initially, at the request of our engineering director, we had used three sections to add different types of users - End Users, Administrators, and Watchers. The updated design includes a simple two column layout with a search directory on the left and Assigned Users on the right. It maintains the distinction of roles by adding a piece of text under the users name within their profile row.
Results
Boosted Efficiency, and Positive Experiences
Our results were measured in terms of percentages, as seen below:
Results
Boosted Efficiency, and Positive Experiences
Our results were measured in terms of percentages, as seen below:
Results
Boosted Efficiency, and Positive Experiences
Our results were measured in terms of percentages, as seen below:
Results
Boosted Efficiency, and Positive Experiences
Our results were measured in terms of percentages, as seen below:
Reduced Time Spent
Reduced Time Spent
Reduced Time Spent
Reduced Time Spent
30%
30%
30%
The Press Release team had a 30% reduction in time spent drafting press releases.
Reduced Response Times
Reduced Response Times
Reduced Response Times
Reduced Response Times
20%
20%
20%
Customer service has seen a 20% reduction in customer service response times
Positive Feedback
Positive Feedback
Positive Feedback
Positive Feedback
90%
90%
90%
About 90% of users gave positive feedback regarding the ease of use and functionality
Retrospective
Reflecting on Performance
Reflecting on the project, several successes and areas for improvement stand out. One of the major successes was the seamless collaboration between design, engineering, and research teams, which ensured a well-rounded and user-centric product. The iterative design process, supported by continuous user feedback, was crucial in refining the tool to meet user needs effectively.However, there were challenges as well. Initially, aligning the technical feasibility with our design vision required several rounds of adjustments and compromises. Additionally, ensuring data security while maintaining a user-friendly experience was a delicate balance that required ongoing attention. This project reinforced the importance of cross-functional collaboration and the value of iterative design. It also highlighted the need for thorough user research and testing to create a product that truly meets user needs. In future projects, I will prioritize early and frequent alignment with engineering teams to mitigate technical feasibility issues. I will also advocate for more extensive user testing phases to catch potential usability issues earlier in the design process.
Retrospective
Reflecting on Performance
Reflecting on the project, several successes and areas for improvement stand out. One of the major successes was the seamless collaboration between design, engineering, and research teams, which ensured a well-rounded and user-centric product. The iterative design process, supported by continuous user feedback, was crucial in refining the tool to meet user needs effectively.However, there were challenges as well. Initially, aligning the technical feasibility with our design vision required several rounds of adjustments and compromises. Additionally, ensuring data security while maintaining a user-friendly experience was a delicate balance that required ongoing attention. This project reinforced the importance of cross-functional collaboration and the value of iterative design. It also highlighted the need for thorough user research and testing to create a product that truly meets user needs. In future projects, I will prioritize early and frequent alignment with engineering teams to mitigate technical feasibility issues. I will also advocate for more extensive user testing phases to catch potential usability issues earlier in the design process.
Retrospective
Reflecting on Performance
Reflecting on the project, several successes and areas for improvement stand out. One of the major successes was the seamless collaboration between design, engineering, and research teams, which ensured a well-rounded and user-centric product. The iterative design process, supported by continuous user feedback, was crucial in refining the tool to meet user needs effectively.However, there were challenges as well. Initially, aligning the technical feasibility with our design vision required several rounds of adjustments and compromises. Additionally, ensuring data security while maintaining a user-friendly experience was a delicate balance that required ongoing attention. This project reinforced the importance of cross-functional collaboration and the value of iterative design. It also highlighted the need for thorough user research and testing to create a product that truly meets user needs. In future projects, I will prioritize early and frequent alignment with engineering teams to mitigate technical feasibility issues. I will also advocate for more extensive user testing phases to catch potential usability issues earlier in the design process.
Retrospective
Reflecting on Performance
Reflecting on the project, several successes and areas for improvement stand out. One of the major successes was the seamless collaboration between design, engineering, and research teams, which ensured a well-rounded and user-centric product. The iterative design process, supported by continuous user feedback, was crucial in refining the tool to meet user needs effectively.However, there were challenges as well. Initially, aligning the technical feasibility with our design vision required several rounds of adjustments and compromises. Additionally, ensuring data security while maintaining a user-friendly experience was a delicate balance that required ongoing attention. This project reinforced the importance of cross-functional collaboration and the value of iterative design. It also highlighted the need for thorough user research and testing to create a product that truly meets user needs. In future projects, I will prioritize early and frequent alignment with engineering teams to mitigate technical feasibility issues. I will also advocate for more extensive user testing phases to catch potential usability issues earlier in the design process.
Feedback from Teammates
I pride myself on building strong relationships with my coworkers. Here's what two of them said after working with me on this project.
Feedback from Teammates
I pride myself on building strong relationships with my coworkers. Here's what two of them said after working with me on this project.
Feedback from Teammates
I pride myself on building strong relationships with my coworkers. Here's what two of them said after working with me on this project.
Feedback from Teammates
I pride myself on building strong relationships with my coworkers. Here's what two of them said after working with me on this project.
Lewis
Software Engineer at Charter Communications
Nate is a great UI/UX designer, over the past year working togher at Charter, I have been consistently impressed by Nate's creativity, skill, and dedication to creating exceptional user experiences...
Nate is a great UI/UX designer, over the past year working togher at Charter, I have been consistently impressed by Nate's creativity, skill, and dedication to creating exceptional user experiences. Nate has a strong grasp of user-centered design principles and consistently delivers intuitive and engaging interfaces. His work on Spect-Low-Code-Tool significantly improved our user satisfaction and engagement metrics.He excel in user research, testing and have a keen eye for detail. Furthermore, Nate is a greate team player, effectively communication and collaborating with cross-functional teams. He is always willing to share his knowledge and mentor junior designers. fostering a positive and productive work environment. In summary, Nate is a talented and dedicated designer who would be a valuable addition to any team. I highly recommend him for any UI/UX design role.
Read more
Lewis
Software Engineer at Charter Communications
Nate is a great UI/UX designer, over the past year working togher at Charter, I have been consistently impressed by Nate's creativity, skill, and dedication to creating exceptional user experiences...
Nate is a great UI/UX designer, over the past year working togher at Charter, I have been consistently impressed by Nate's creativity, skill, and dedication to creating exceptional user experiences. Nate has a strong grasp of user-centered design principles and consistently delivers intuitive and engaging interfaces. His work on Spect-Low-Code-Tool significantly improved our user satisfaction and engagement metrics.He excel in user research, testing and have a keen eye for detail. Furthermore, Nate is a greate team player, effectively communication and collaborating with cross-functional teams. He is always willing to share his knowledge and mentor junior designers. fostering a positive and productive work environment. In summary, Nate is a talented and dedicated designer who would be a valuable addition to any team. I highly recommend him for any UI/UX design role.
Read more
Lewis
Software Engineer at Charter Communications
Nate is a great UI/UX designer, over the past year working togher at Charter, I have been consistently impressed by Nate's creativity, skill, and dedication to creating exceptional user experiences...
Nate is a great UI/UX designer, over the past year working togher at Charter, I have been consistently impressed by Nate's creativity, skill, and dedication to creating exceptional user experiences. Nate has a strong grasp of user-centered design principles and consistently delivers intuitive and engaging interfaces. His work on Spect-Low-Code-Tool significantly improved our user satisfaction and engagement metrics.He excel in user research, testing and have a keen eye for detail. Furthermore, Nate is a greate team player, effectively communication and collaborating with cross-functional teams. He is always willing to share his knowledge and mentor junior designers. fostering a positive and productive work environment. In summary, Nate is a talented and dedicated designer who would be a valuable addition to any team. I highly recommend him for any UI/UX design role.
Read more
Lewis
Software Engineer at Charter Communications
Nate is a great UI/UX designer, over the past year working togher at Charter, I have been consistently impressed by Nate's creativity, skill, and dedication to creating exceptional user experiences...
Nate is a great UI/UX designer, over the past year working togher at Charter, I have been consistently impressed by Nate's creativity, skill, and dedication to creating exceptional user experiences. Nate has a strong grasp of user-centered design principles and consistently delivers intuitive and engaging interfaces. His work on Spect-Low-Code-Tool significantly improved our user satisfaction and engagement metrics.He excel in user research, testing and have a keen eye for detail. Furthermore, Nate is a greate team player, effectively communication and collaborating with cross-functional teams. He is always willing to share his knowledge and mentor junior designers. fostering a positive and productive work environment. In summary, Nate is a talented and dedicated designer who would be a valuable addition to any team. I highly recommend him for any UI/UX design role.
Read more
Jason
Software Engineer at Charter Communications
Nate is a true master of his craft. I had the pleasure of working with Nate on multiple projects at Charter Communications. His attention to detail, adaptability, and precision when it comes to...
Nate is a true master of his craft. I had the pleasure of working with Nate on multiple projects at Charter Communications. His attention to detail, adaptability, and precision when it comes to his designs make him awesome to work with. Working with an experienced designer like Nate makes the life of a developer so much easier . Not only is Nate a great designer, but he's also a great person. He shows up to work consistently with a great attitude and would be a valuable asset to any team looking for a UX Designer.
Read more
Jason
Software Engineer at Charter Communications
Nate is a true master of his craft. I had the pleasure of working with Nate on multiple projects at Charter Communications. His attention to detail, adaptability, and precision when it comes to...
Nate is a true master of his craft. I had the pleasure of working with Nate on multiple projects at Charter Communications. His attention to detail, adaptability, and precision when it comes to his designs make him awesome to work with. Working with an experienced designer like Nate makes the life of a developer so much easier . Not only is Nate a great designer, but he's also a great person. He shows up to work consistently with a great attitude and would be a valuable asset to any team looking for a UX Designer.
Read more
Jason
Software Engineer at Charter Communications
Nate is a true master of his craft. I had the pleasure of working with Nate on multiple projects at Charter Communications. His attention to detail, adaptability, and precision when it comes to...
Nate is a true master of his craft. I had the pleasure of working with Nate on multiple projects at Charter Communications. His attention to detail, adaptability, and precision when it comes to his designs make him awesome to work with. Working with an experienced designer like Nate makes the life of a developer so much easier . Not only is Nate a great designer, but he's also a great person. He shows up to work consistently with a great attitude and would be a valuable asset to any team looking for a UX Designer.
Read more
Jason
Software Engineer at Charter Communications
Nate is a true master of his craft. I had the pleasure of working with Nate on multiple projects at Charter Communications. His attention to detail, adaptability, and precision when it comes to...
Nate is a true master of his craft. I had the pleasure of working with Nate on multiple projects at Charter Communications. His attention to detail, adaptability, and precision when it comes to his designs make him awesome to work with. Working with an experienced designer like Nate makes the life of a developer so much easier . Not only is Nate a great designer, but he's also a great person. He shows up to work consistently with a great attitude and would be a valuable asset to any team looking for a UX Designer.
Read more
Thanks for checking out
my work! 👋
Visit more of my case studies below
Thanks for checking out
my work! 👋
Visit more of my case studies below
Thanks for checking out
my work! 👋
Visit more of my case studies below
Thanks for checking out
my work! 👋
Visit more of my case studies below
Journey.AI
Showcasing Patented Encryption and Revolutionizing User Experience
Journey.AI
Showcasing Patented Encryption and Revolutionizing User Experience
Journey.AI
Showcasing Patented Encryption and Revolutionizing User Experience
Journey.AI
Showcasing Patented Encryption and Revolutionizing User Experience
Spectrum
Streamlining Pre-Sales Operations with a Centralized Web Hub
Spectrum
Streamlining Pre-Sales Operations with a Centralized Web Hub
Spectrum
Streamlining Pre-Sales Operations with a Centralized Web Hub