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interaction history for customer support agents
interaction history for customer support agents
interaction history for customer support agents
users:
customer support agents who have conversations to solve end-user support tickets
admins that configure the software that the agents use
problem:
when an end-user (our customer’s customer) submits a support ticket, agents often need more contextual details about the customer to be able to successfully resolve their issues.
how might we surface custom end-user-specific data for agents to understand their company’s relationship to the end-user outside of the current ticket in question?
goals:
allow agents to review multiple custom end-user (Ticket Requester) profiles in the support ticket view
display relevant Interaction History events to highlight recent touchpoints with the end-user, and collapse similar event updates to save space
allow admins to configure basic settings in an enhanced workflow with helpful descriptions and a more intuitive process
implement instrumentation measurements so that we might further analyze usage and performance
conduct competitive “Single View of the Customer” research to inform new designs for User Profile Page
look after experimental early-access beta apps for knowledge base article events and custom objects
lessons learned:
it might be worth putting in more effort to do the right thing for customers long-term (securely allow image/asset uploads) instead of taking an easy shortcut (providing an icon library)
when your product team is small, establish a repeatable process for feature requests and prioritization so that you can reduce context-switching, overpromising and bloated forecasts
users:
customer support agents who have conversations to solve end-user support tickets
admins that configure the software that the agents use
problem:
when an end-user (our customer’s customer) submits a support ticket, agents often need more contextual details about the customer to be able to successfully resolve their issues.
how might we surface custom end-user-specific data for agents to understand their company’s relationship to the end-user outside of the current ticket in question?
goals:
allow agents to review multiple custom end-user (Ticket Requester) profiles in the support ticket view
display relevant Interaction History events to highlight recent touchpoints with the end-user, and collapse similar event updates to save space
allow admins to configure basic settings in an enhanced workflow with helpful descriptions and a more intuitive process
implement instrumentation measurements so that we might further analyze usage and performance
conduct competitive “Single View of the Customer” research to inform new designs for User Profile Page
look after experimental early-access beta apps for knowledge base article events and custom objects
lessons learned:
it might be worth putting in more effort to do the right thing for customers long-term (securely allow image/asset uploads) instead of taking an easy shortcut (providing an icon library)
when your product team is small, establish a repeatable process for feature requests and prioritization so that you can reduce context-switching, overpromising and bloated forecasts
users:
customer support agents who have conversations to solve end-user support tickets
admins that configure the software that the agents use
problem:
when an end-user (our customer’s customer) submits a support ticket, agents often need more contextual details about the customer to be able to successfully resolve their issues.
how might we surface custom end-user-specific data for agents to understand their company’s relationship to the end-user outside of the current ticket in question?
goals:
allow agents to review multiple custom end-user (Ticket Requester) profiles in the support ticket view
display relevant Interaction History events to highlight recent touchpoints with the end-user, and collapse similar event updates to save space
allow admins to configure basic settings in an enhanced workflow with helpful descriptions and a more intuitive process
implement instrumentation measurements so that we might further analyze usage and performance
conduct competitive “Single View of the Customer” research to inform new designs for User Profile Page
look after experimental early-access beta apps for knowledge base article events and custom objects
lessons learned:
it might be worth putting in more effort to do the right thing for customers long-term (securely allow image/asset uploads) instead of taking an easy shortcut (providing an icon library)
when your product team is small, establish a repeatable process for feature requests and prioritization so that you can reduce context-switching, overpromising and bloated forecasts
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