Lauren Golembiewski Portfolio
Co-founder of Voxable, where she did conversation design and strategy for AT&T, GoDaddy, and Overstock.com, then built the Script Editor and auto-generated Diagram View inside Voxable's own conversation-design product before the company pivoted to broader generative AI work in 2022.
What makes it work
A breakdown of the choices that make this portfolio stand out.
Portfolio spans both consulting delivery and tool-building
She shows client conversation-design work (GoDaddy's support bot, Keller Williams' agent assistant) alongside the software she built to do that work faster (a script editor with automatic diagram generation) — evidence of craft and process innovation.
Naming exactly what changed as a company pivoted
The portfolio is upfront that Voxable moved from a conversational-AI consultancy to a broader generative-AI focus in 2022, rather than obscuring the shift — a transparent account of how the underlying market moved.
Automating a previously manual conversation-design artifact
Building a tool that auto-generates flow diagrams from written scripts (instead of designers hand-drawing them) shows she identified a repeated pain point in her own process and solved it structurally.
What Conversational AI Designers can take from this
Specific, actionable tips to apply to your own portfolio — no generic advice.
Show both the client deliverables you produced and any internal tools or templates you built to produce them faster — the second signals process maturity.
If your company or role pivoted, state plainly what changed and why, rather than leaving a portfolio that implies work you no longer do.
If you noticed a recurring manual step in your own design process, consider whether it can be systematized — and mention that you did.
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