2012 - 2014

AI Conversation Intelligence

 

At a glance

  • Co-founded the company.
  • Designed an award-winning user experience (UX) that facilitates easy navigation of conversations.
  • Led a team engineers to ship a product in 12 months.

The Problem

Companies both large and small need their customer-facing employees are aligned with the company's current messaging. This can be incredibly challenging. Before Tethr, companies would record phone calls and spot-check random agent-customer interactions for compliance and best practices.

Tethr automatically documented and analyized employee-customer interactions into an easy to use web experience. We found that immediate and actionable feedback that didn't rely on digging through call recordings, note-taking or the employee's self-awareness was far superior. By aggregating thousands of conversations companies could better understand performance, manage complaince risks, and develop new learning tools. The end result was on-message employees and better outcomes for customers.

Concept Development

I worked through several concepts before settling on the double wave-form inspired UI. It starts with the familiarity of working with audio. Callouts along the wave-form highlight key moments in the conversation, making it easy to visualize the flow of the conversation. The component is mobile-friendly, suitable for conversations of various lengths, and allows for seamless navigation.

By building the detail view as a foundation the creation of additional views on top of the UI becomes a breeze. The first step is to define a persona or profile with particular interests which is expressed a series of filterable expressions. Then display the results in traditional business intelligence-style view. With integrations, this streamlined approach enables executives to extract value of Tethr through their favorite business intelligence (BI) platform.

Check it out

Visit Tethr.

© Spence Wetjen. Made in Austin, Texas USA.