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an hour ago
Every great voice experience starts long before the first "hello." It starts with a clear-eyed answer to one question: what problem are we actually solving, and for whom?
That's the thinking behind this AI Voice Agents Use Case & Evaluation Template — a hands-on framework built to help teams design, scope, and test voice-driven HR interactions before they ever go live. Whether you're exploring "Check HR Case Status," payslip help, or PTO requests, this template walks through the decisions that make or break a voice experience: which use cases are the right fit for voice, what authentication looks like, how the conversation should flow start to finish, and what "success" means once real people start calling in.
Inside, you'll find:
- Use case selection guidance — a clear filter for picking high-volume, low-friction phone interactions that are actually suited to voice, and steering clear of the ones that aren't (think multi-step verification or heavy visual dependencies).
- A structured use case definition — covering goals, volume, authentication needs, expected conversation flow, and the data, tools, and APIs required to bring it to life.
- A sample flow diagram — a real walkthrough of "Check HR Case Status and Update," showing how a caller like Alex gets authenticated, found, and helped in a natural back-and-forth.
- Integration considerations — CCaaS/IVR setup, third-party systems, fallback methods, and interaction recording.
- A recommended Success Scorecard — concrete, measurable targets across call success, agent detection, voice quality, conversation handling, and response speed, so you're not left guessing whether your voice agent is actually performing.
Why it's worth your time: this isn't theoretical guidance — it's a working checklist you can apply directly to your next voice use case, with recommended targets already built in (like an 70% call success rate and 80% across quality dimensions). If you're scoping, building, or evaluating a voice agent for HR Service Delivery, this template gives you a shared language and a shared bar for what good looks like — before you spend a single hour in development.
