When it comes to voice experiences powered by AI, it's not just about making sure everything works technically.
It also needs to sound right. It should feel smooth. Clear. Understandable. And, above all, natural to the human ear.
That’s where crowdtesting comes in.
Testing a real experience before launch
indigo.ai, an Italian scaleup specializing in conversational solutions, was working on a new voice-based AI.
Before going live, they were looking for a way to:
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Validate the effectiveness of the voice interaction with real users
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Assess whether the chosen voice felt natural and empathetic
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Evaluate comprehension, responsiveness, and flow fluidity
In short, it wasn’t just about “working.”
It had to feel right. And be truly ready for release.
The method: real people, real insights
We supported indigo.ai with a full testing process—from collecting qualitative and quantitative feedback to simulating real-life usage scenarios through hundreds of calls.
All in just a few days, with the ability to act quickly on the insights that emerged.
The result? A better voice experience, improved before launch—driven by reliable data and authentic user feedback.
Want to see how it went?
In the full case study you’ll find:
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the project’s key numbers
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our approach, step by step
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the tangible benefits achieved
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direct feedback from the Indigo team
👉 Download the full case study to see how crowdtesting can make a difference for complex voice-based AI solutions.
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