company
cloudflare
launched in
1 month
senior product designer
+pairing with engineerign
company
CloudFlare
launched in
1 month
senior product designer
+ pairing with engineering
01
//Approach
Three Phases
//Approach
Three Phases
Making the internet safer one bot at a time
Making the internet safer one bot at a time
From a simple proposal to show the percentage of automated traffic to a thorough engine for controlling bot responses.
01
Discover and Analysis
Bots take up 30% or more of total internet traffic at any given time, with peaks above 40%. However, Cloudflare has multiple customer types, and a super granular approach to traffic and mitigation wasn’t the right one for everyone. With this project, we tried to understand what the balance for hand-holding and in-depth traffic response control was for each type, starting with the most complex use-case. Simpler preferences get bigger immediate results, but with less control over the nitty gritty.
01
Discover and Analysis
Bots take up 30% or more of total internet traffic at any given time, with peaks above 40%. However, Cloudflare has multiple customer types, and a super granular approach to traffic and mitigation wasn’t the right one for everyone. With this project, we tried to understand what the balance for hand-holding and in-depth traffic response control was for each type, starting with the most complex use-case. Simpler preferences get bigger immediate results, but with less control over the nitty gritty.
Discover and Analysis
Bots take up 30% or more of total internet traffic at any given time, with peaks above 40%. However, Cloudflare has multiple customer types, and a super granular approach to traffic and mitigation wasn’t the right one for everyone. With this project, we tried to understand what the balance for hand-holding and in-depth traffic response control was for each type, starting with the most complex use-case. Simpler preferences get bigger immediate results, but with less control over the nitty gritty.
02
Design and Implement
This was an excellent example of collaboration efforts between design and engineering, since with the first deadline being only a week long we co-created in design and code without handovers. The result was a new chart experience: giving customers the ability to filter their traffic based on the manipulation of a draggable bar. This bar showed the concentration of traffic organised by scores that went from definitely automated to definitely human. After testing that this approach was not only feasible, but desirable through using clickable prototypes to get validation, this was launched and added to our component library.
02
Design and Implement
This was an excellent example of collaboration efforts between design and engineering, since with the first deadline being only a week long we co-created in design and code without handovers. The result was a new chart experience: giving customers the ability to filter their traffic based on the manipulation of a draggable bar. This bar showed the concentration of traffic organised by scores that went from definitely automated to definitely human. After testing that this approach was not only feasible, but desirable through using clickable prototypes to get validation, this was launched and added to our component library.
Design and Implement
This was an excellent example of collaboration efforts between design and engineering, since with the first deadline being only a week long we co-created in design and code without handovers. The result was a new chart experience: giving customers the ability to filter their traffic based on the manipulation of a draggable bar. This bar showed the concentration of traffic organised by scores that went from definitely automated to definitely human. After testing that this approach was not only feasible, but desirable through using clickable prototypes to get validation, this was launched and added to our component library.
03
Deliver and Monitor
This interaction preference to the usage of regular filters is monitored through Amplitude, and the results are undeniable: people love it. There is an average of 300% preference for adding filters through it, and a staggering 1000% preference for editing them through it. This means they can manipulate their data in real time, alternatively to using the usual input controls for filtering. Today, bots is our highest converting feature from pro to business plans by the amazing figure of over 1000%. In fact, this our highest converting feature for business plans.
03
Deliver and Monitor
This interaction preference to the usage of regular filters is monitored through Amplitude, and the results are undeniable: people love it. There is an average of 300% preference for adding filters through it, and a staggering 1000% preference for editing them through it. This means they can manipulate their data in real time, alternatively to using the usual input controls for filtering. Today, bots is our highest converting feature from pro to business plans by the amazing figure of over 1000%. In fact, this our highest converting feature for business plans.
Deliver and Monitor
This interaction preference to the usage of regular filters is monitored through Amplitude, and the results are undeniable: people love it. There is an average of 300% preference for adding filters through it, and a staggering 1000% preference for editing them through it. This means they can manipulate their data in real time, alternatively to using the usual input controls for filtering. Today, bots is our highest converting feature from pro to business plans by the amazing figure of over 1000%. In fact, this our highest converting feature for business plans.
02
//GALLERY
//GALLERY
Project gallery
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Project gallery
Biggest discovery: people sleep. Bots don't.







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02
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//Work by type
PICK YOUR BREW
WORK
by TYPE
01
Design Systems
02
Data led dashboards
03
Onboarding
04
Products
05
Websites
//Work by type
PICK YOUR BREW
WORK
by TYPE
01
Design Systems
02
Data led dashboards
03
Onboarding
04
Products
05