Current Machine Learning techniques rely on being trained by manually generated data. Google's virtual Assistant learned to understand voice because Google setup Google 411 and had millions of participants train it. Google developed OCR models by setting up Google reCAPTCHA and having millions of people train it.

Manual prompts to users are a great way to develop training data and being able to distribute them at scale to millions of users means you can develop training data in very short order.