This new feature quickly became a differentiator for our client in the market. Showcasing it at a convention led to new customers estimated to bring in an additional $2M in revenue based on just this feature alone. In addition, the cost reduction from the reduction in support calls and the more self-serve nature of this feature created a huge win for our client.
After showcasing this new feature at a national conference, new customer acquisition led to $2M in net new projected revenue based on this feature alone.
This new design allowed customers to change from a heavy customer service-dependent model to an entirely self-service rate management model, significantly reducing the client’s internal costs and allowing for more efficient future scaling.
Dialexa distilled the initially redesigned feature, which required over 13 different screens and significant user training and onboarding. The experience was reduced to a single page, which created full-featured rate management with natural language, an intuitive UI, and a rate simulation feature.
At first, the customer designed a new rules management process which both simplified the user experience and added additional capabilities to the system. As much improved as it was, user testing feedback still marked it as too complex for users to understand and interact with, requiring additional training and onboarding time. Based on this feedback, Dialexa designed a new rate management interface that creates a simplified, natural language interface, powered by an LLM. With an intuitive graphical representation of the rules, and the ability to simulate the rates for a particular date / time, the users can easily add rules with their natural language, see, modify and undo the results, and then validate them right within the same screen.
One crucial area the project was able to address was the integration of the customer’s voice in the ideation or evolution journey, facilitating a deeper understanding and commitment to meeting user needs. The project also created a clear path between new ideas and product development, enhancing transparency and traceability within the innovation pipeline.
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