Alexa

“How we fell out of love with voice assistants”

The BBC article “How we fell out of love with voice assistants” by Katherine Latham is no surprise to me. It reminds me of numerous conversations during my Cortana and Alexa days about the importance of user value and trust.

We tracked and tried to optimize many metrics. When we started paying more attention and tried to optimize business-related metrics, experiences started to suffer. When the business cares more about traffic/number of interactions, teams create chatty experiences to improve those metrics, which doesn’t necessarily mean added value to the user.

The article also highlights the need for trust… privacy and reliability. If the promise for natural experience is broken or the data is mishandled, the user will lose trust. Lost trust translates to less usage.

Finally… I love that the article highlights “time saving” as a key decision for adoption/usage. If the result of an assistive experience is to save users time, then that experience will become a habit. When the experience gets in the way of accomplishing tasks, the device will get disconnected. I have always been in favor of utility-oriented positive metrics when tracking the Key Performance Indicators (KPIs) of a natural experience. Metrics such as “time saved”, “favorability towards the experience”, “usefulness to the user”, “number of tasks successfully accomplished”, etc. Of course, we still need the friction-related metrics such as “time to accomplish a task”, “repeated attempts”, “number of corrections” or synthetic/model-driven metrics that some systems use.

Created using DiffusionBee (Stable Diffusion client for Mac) – Prompt: “woman talking to a robot; cyberpunk vibe; realistic photograph”
Savas Parastatidis

Savas Parastatidis works at Amazon as a Sr. Principal Engineer in Alexa AI'. Previously, he worked at Microsoft where he co-founded Cortana and led the effort as the team's architect. While at Microsoft, Savas also worked on distributed data storage and high-performance data processing technologies. He was involved in various e-Science projects while at Microsoft Research where he also investigated technologies related to knowledge representation & reasoning. Savas also worked on language understanding technologies at Facebook. Prior to joining Microsoft, Savas was a Principal Research Associate at Newcastle University where he undertook research in the areas of distributed, service-oriented computing and e-Science. He was also the Chief Software Architect at the North-East Regional e-Science Centre where he oversaw the architecture and the application of Web Services technologies for a number of large research projects. Savas worked as a Senior Software Engineer for Hewlett Packard where he co-lead the R&D effort for the industry's Web Service transactions service and protocol. You can find out more about Savas at https://savas.me/about

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