Diana Deibel Portfolio
Design Director at Grand Studio and co-author of "Conversations with Things: UX Design for Chat and Voice." Led a generative-AI IT support automation project spanning 12 languages that cut human service-desk interactions by 65%.
What makes it work
A breakdown of the choices that make this portfolio stand out.
Leading with a quantified outcome, not just a described process
The IT-support case study states a 65% reduction in human service-desk interactions up front. Most conversation design portfolios describe flows and personas; this one anchors the whole story to a number a business stakeholder would actually care about.
Naming the full discipline stack a real project requires
The case study lists service design, conversation design, AI strategy, and change-management rollout as separate phases of one project — an honest picture of how much of "conversation design" at enterprise scale is organizational work, not just dialogue writing.
A client testimonial in the subject's own words
Including the literal line from an engineering manager ("This thing routes like a boss") gives third-party evidence the design worked in production, not just in a prototype.
What Conversational AI Designers can take from this
Specific, actionable tips to apply to your own portfolio — no generic advice.
If you have one hard metric from a shipped project, put it in the first line of the case study — don't bury it under process description.
Break out the non-conversation-design work a project required (change management, rollout, stakeholder alignment) — it shows you understand how conversational AI actually gets adopted.
A short, verbatim stakeholder quote does more for credibility than a paragraph of your own self-assessment.
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