Sharon Ni

One of the most engaging aspects of generative AI products is their conversational interfaces. This has led many content designers working on AI products to develop skills in conversation design.

Sharon Ni works on both conversational AI products and script-driven chatbots in her content design role at Cisco. She has developed her conversational design and technical AI skills by attending conferences, hackathons, and other events, by networking extensively, and by experimenting constantly with AI and conversation tech.

We talked about:

her work on chatbots and AI tools at Cisco
an overview of the content design guidance chatbot she built
her addition of "conversation designer" to her resume
the evolution of the people ecosystem she works in, which now includes more engineers and data practitioners
the professional development that she's done to prepare her for working with AI and collaborating with her more technical collaborators
how participating in hackathons and other events has helped her advance her AI skills
some of the tools she uses in her work, including spreadsheets, Miro, and Voiceflow
her personal interest in building chatbots and how it's helped her in professional work
the content design repository where she stores the conversational content she works with
how she helps her colleagues understand how to best use AI
her new responsibilities around assessing the technical feasibility of
her advice to "just do it," to start building your own AI projects and connecting with others who share your interest

Sharon's bio
I love writing products. I hate writing about myself. So here’s five quick things about me and my work in AI:

I’m a content designer at Cisco. Currently working on the Cisco AI assistant and Cisco.com chatbot.
I like trying and building different chatbots myself - I recently built a content style guide chatbot that can help people review their copy and find guidelines.
I’m a fierce advocate for content research and like to use data to inform my content design decisions.
I have a background in Psycholinguistics and received a master’s degree from Middlebury College in 2023.
Huge fan of this podcast.

Connect with Sharon online

LinkedIn

Video
Here’s the video version of our conversation:


https://youtu.be/4HgM2hp5hpM

Podcast intro transcript
This is the Content and AI podcast, episode number 35. One of the main attractions of generative AI products is their conversational interfaces. This basic characteristic has drawn many content designers into the adjacent field of conversation design. In her work on chatbots and conversational AI products at Cisco, Sharon Ni has applied conversation design techniques and also learned a lot about the engineering side of AI, sometimes even advising her colleagues on the technical feasibility of their product ideas.
Interview transcript

Larry:
Hi everyone. Welcome to episode number 35 of the Content + AI podcast. I am really delighted today to welcome to the show, Sharon Ni. Sharon is a content designer at Cisco, is doing really interesting stuff with AI and other technologies there. Welcome, Sharon. Tell the folks a little bit more about what you're up to these days.

Sharon:
Yeah, hi Larry. Very nice to meet you and excited to be here. And as you mentioned, I'm currently working on Cisco AI system for security, which is part of the Cisco AI ecosystem. And I'm also working on a chatbot that's on the cisco.com website right now.

Sharon:
And other than that, I am also working with the Voiceflow team to build an AI powered content design, style guide chatbot that can help our design partners to find the right guidelines and also review copy based on the guidelines, basically. It's not going to write the copy for them, but it will provide recommendations based on the good examples and bad examples that I fed into the chatbot and also the templates. So yeah,