
Initial concept for a Marchex Sales Edge mobile app.Designed for mangers of sales teams at auto dealerships, it would leverage push messaging and contacts in the manager's phone to provide an easy way to manage phone traffic and delegate followups to individual sales agents.
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Marchex processes nearly 100 million phone calls per year. Our largest clients average 2 million calls per month. This is a desktop view of a Marchex analytic for call handling and processing. It shows a multi-tiered leaderboard that illustrates a few key observations (one per tab) that are not obvious from looking at a few data points.
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For Marchex, a tree visualization for call handling and processing. This view shows which units in a hierarchical tree fall above or below a target metric. It becomes easy to visualize which component units are significant contributors to the average of their parent.
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Mobile web version of Marchex Sales Edge application. This shows a login, an “action list” ( a series of calls grouped together for review and assignment for followup), and the call recording player, which gives a kind of x-ray view of who is speaking on the call and for how long.
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Sequence showing a workflow for sharing a call recording with a colleague: selecting an existing contact, adding a new contact, confirming the recipients, and adding content.

Mobile, tablet, and desktop views of the Marchex call recording player. This gives a kind of x-ray view of who is speaking on the call and for how long, along with a transcript and metadata of the call. The user can click any block of conversation by either the caller or the agent to skip instantly to the relevant part of the conversation.
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Mobile and desktop views of the Marchex call forwarding sequence planner. This feature allows the user to route incoming phone calls based on a series of decisions made in a sequence—depending on the call’s geographic origin, the caller’s preference, the time of day, and staffing strategy. It folds a traditional “decision tree” into a simple, focused interface that’s easy for novice users to understand.
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UniEnergy Technologies builds power storage systems for renewable energy facilities. Here is the contrast between software interfaces typical of the power generation industry (left) and the new interface I designed for UET (right).
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This a typical controller screen for the power controller interface I designed for UniEnergy Technologies. Each function can be directly changed, or scheduled to change at a later time. The power factor display in the lower right is particularly challenging, as the user needs to understand the four set points in relation to their own minimum, maximum values, as well as the overall output of the system in each quadrant.
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Scheduling system for the power controller interface I designed for UniEnergy Technologies. Conceived like a logbook, each entry has a time-based status (pending one-time, pending recurring, or finished) and the user can edit or delete any schedule point.
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