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What it Takes to Hit 100 Million Drive-Thru Orders Per Year, and Why it Matters for QSRs

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User Correction Rate

What is User Correction Rate?

User correction rate measures the frequency with which customers need to correct Voice AI misunderstandings during the ordering process. This includes explicit corrections (“No, I said large, not medium”), clarifications, and modifications to incorrectly captured items. Enterprise systems target under 10% correction rate.

Why User Correction Rate Matters

customer experience

Corrections create friction:

  • Customer must catch the error
  • Must interrupt conversation flow
  • Feels like extra work
  • Signals system imperfection

Reducing User Correction Rate

Improve Recognition

Technical improvements:

  • Better speech models
  • Noise handling
  • Accent training
  • Vocabulary expansion

Improve Confirmation

Verification approach:

  • Clear read-back
  • Early correction opportunity
  • Emphasize key details
  • Book your consultation