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Trace Margin

Expert Q&A

10. Whose calls disappear inside an acceptable average?

Trace Margin research deskSection 06Page 13 of 24Last updated

Proposed lead: Allison Koenecke, with accessibility and customer-quality representatives.

Why it matters: Koenecke and colleagues’ research on auditing speech recognition for people with aphasia examines shortcomings in audit practice. It provides a basis for questioning evaluation design—not for declaring that a particular current voice-agent supplier has failed. (arxiv.org)

Question to put to the expert:

How should a buyer determine whether an acceptable overall completion rate conceals poor service for particular accents, languages, speech patterns or call conditions?

A strong answer should cover:

  • A caller and environment test plan grounded in the population served.
  • Task completion, effort and escalation outcomes alongside recognition accuracy.
  • Human assessment involving relevant users, rather than synthetic accents alone.
  • Separate reporting of sparse samples and uncertainty.
  • A privacy-conscious way to study differences without casually inferring sensitive identities from voices.
  • A usable alternative when the system repeatedly misunderstands someone.

Evidence to request: A stratified evaluation plan, subgroup sample counts, error examples and remediation ownership.

Follow-up: Which apparently reassuring aggregate result would you refuse to publish?

Expert quote: [Reserved for an approved interview quotation.]