Cisco’s QBR
As a UX/UI designer at Cisco, I led the design of the QBR (Quarterly Business Report) web app with a strong focus on empathetic research. I broke down complex user data, into user stories and prototypes. Working closely with project managers and developers, I made sure the design felt intuitive and user-friendly throughout the app, resulting in a smooth and optimized experience for delivery engineers.

Cisco’s QBR web application
The Cisco QBR is designed to gather customer data from different sources and the company’s network. It uses advanced algorithms to identify potential issues before they escalate into problems. With features that enable you to assign customer activities and project plans, the QBR helps customers achieve their desired outcomes. It has been optimized to make it easier for delivery managers and engineers provide detailed and comprehensive quarterly reports to their clients.
Cisco’s QBR Case Study

Resources
A ten-member team a UX designer, multiple project managers, developers, and delivery engineers.

Duration
Two years. Development continues.

Engagement Type
B2B web application.
The Problem
The main issue with the QBR process is that it is inefficient, with customer executives only being able to engage for the initial 30 minutes due to time constraints. Additionally, the manual importation of activities and deliverables is tedious, requiring data collection from various sources.
“Some people use Jira, Excel, HublSoft, TowerPoint, Word. Which system do we use for the data?”
The Challenge
The challenge is to improve the QBR data’s focus on providing customer value, even though the business value varies among clients. Currently, there is a need to address the limitations of expensive software solutions, which provides limited year-over-year trending data, while simplifying the manual process of importing activities and deliverables that are often from multiple tools and platforms.
We want something that we can share with the customers.
The Solution
Research told us that users want a product that is:
- Easier to use
- Is more accurate
- Is customizable
- More automated
- Adds more customer value
- Promotes better customer engagement
Opportunities
- Users find this approach more interactive and dashboard-like than static reports offering greater customer engagement.
- This will align customer priorities making what Cisco delivers more valuable to the customer.
- Customers will feel more comfortable renewing contracts due to the increased value this system provides.
The Mothodology
UX Research
Phase 1: Empathize
• User research
• User interviews
• User observations
• Explore user needs
Phase 2: Define
• User persona
• Define user pain points
• Define user gaines
• Affinity diagram
• Empathy map
UI Design
Phase 3: Ideate
• User story
• User flow
• Potential solutions
• Feature prioritization
• Define MVP
• Wireframes
• Test wireframes
UI Design
Phase 4: Prototype
• Design screens
• Design single page layouts
• Work with design systems
• Work with existing components
• Build custom components
• Work with style guides
• Incorporate branding
• Build prototypes
UI Design
Phase 5: Testing
• Test prototype
• User testing
• Prioritize feedback
• Reiterations
Phase 1: Empathize with the user
Conducting user research
- A research plan was created for the team to follow when testing.
- Interviews were conducted with participants to define what users want, do, and think.
Below are the results of the user interviews and visual samples of what the users liked.

QBR Objectives
Who is the end-user?
Project managers and delivery engineers engaging with customers.
Why will the user use the app?
Because it will be an automated system that is simpler and more accurate.
What will be the user’s end goal?
Bring Cisco’s clients more value while maintaining their network and components.
When will the user use the app?
The app will be used when engineers are building QBR reports or presenting QBRs to their clients.
Where will the user use the app?
The app will be used in office and on site.
How will the user accomplish their goal?
By focusing on outcomes and automating parts of the QBR process, improving efficiency while maintaining client networks.
Some of what we learned
What they do
- It takes over a week to get data, make, and finalize decks.
- Manually collect data from across several platforms.
- They conduct presentations with slide decks.
- Some people use Jira, Excel, HublSoft, TowerPoint, Word.
What they say
- They’re challenged with inconsistencies.
- They want more customization.
- It would be good to have dashboard that can also be edited.
- Customers would like to see data everyday.
What they think
- We need better interactions with customers.
- Only show if we are 100% confident about it.
- We need to align on customer priorities.
- Is what we deliver relevant to our customers?
- Cost savings is risky to talk about with customer.
Phase 2: Define the problem
How we defined the problems
- The initial UX research provided insights into user needs, pain points, and behaviors. It helped identify what users value most, how they interact with a product, and what features should be focused on.
- Using affinity diagrams and empathy maps, we learned users’ likes, dislikes, frustrations, pain points, and wants.
Below are the affinity diagrams used to synthesize the information received from the interviews.




Pains
- Everyone’s data does not exist in one space.
- Data collection is tedious, it’s not focused on delivering value.
- Importing activity and deliverable data is manual.
- What value is delivered to support customer renewal.
- Larger customers require more customization.
Gains
- We could track business value better.
- Walk through specific data easier.
- Align to customer priorities.
- Make data more relevant.
- Build a standard solution to meet the majority of needs.
User-Persona
Meet Keep-His-Cool Kumar
Network Engineer Specialist
Kumar is a Network Engineer and Security Specialist at a Cisco-certified reseller. He performs many activities and works closely with the reseller’s Systems Engineer. He has developed many tools and templates to help him be more efficient and effective.

Phase 3: Ideate
Develop ideas to solve problems
User Stories
When developing the user stories, as a team we created them around the persona; we set the scene around a busy network engineer. The stories helped drive our ideation process by describing the functions and features the app would require.
User Flows
15 user flows were crafted to identify friction points and guide the design approach. Mapping different user flows provided insights into interactions and pain points, enabling us to enhance the user experience.
Information Architecture
I provided information architecture to organize and structure content in a logical and intuitive manner, creating an efficient navigation system and enhancing the overall user experience.

Define MVP
Wireframes
Phase 4: Build prototypes
Build high-fidelity prototype screens for user testing
Phase 5: Test prototypes
User testing and iterations
In the final phase of the project, we conducted user testing and recorded the results for each feature in a spreadsheet. If a request was valuable and within scope, changes were made. Then, it would be tested again, iterating until users were happy with the outcome.
Some of the user Insights
“I wish it was more customizable so that we only show data to the customer what they care about, especially for higher tier customers.”
“I would love the ability to benchmark and set targets/baselines based on industry peers, to see how we’re trending against them”
“The data needs to tie back to customers desired outcomes and priorities”
“The QBR needs to show what value Cisco has delivered.”
Design Review


Key takeaways
Moving forward
- Being flexible and listening to our users is key.
- Testing and iterations of the platform will need to continue.
- More beta testing with boots on the ground will need to be done.
- Additional features such as possible A.I.
- Be focused enough to stay within scope, be flexible enough to build the features that add value.
- Stay alert and attentive to ensure the design deployed is accurate, protecting the company’s brand.
- Be ready to open the backlog and begin v2.0
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