Collect deeper insights with forms that users can fill out by having a conversation
TL;DR
Businesses use Raz to build interactive and personalized forms. Our AI-powered follow-up questions and semantic analysis provide businesses with actionable insights for constant improvement.
šŖ Our Team
Hi everyone! We are Rob and Alex, the co-founders of Raz.
We met on our high school tennis team 10 years ago and have remained friends ever since.
Rob got his MS in AI at Carnegie Mellon after working at Regeneron, Amazon, and his own beef jerky company. His last role was as a Machine Learning Engineer at Scale AI, where he trained LLMs for their enterprise customers.
Alex, a former sumo wrestler born in Tokyo, was a consultant on PwC's Customer Service and Advocacy team. There, he worked with emerging technologies like 5G and later went on to become the youngest PM at the firm.
ā The Problem
While at PwC, Alex saw firsthand how businesses were losing customers due to a lack of understanding of the user experience. Many companies would attempt to learn from users by sending them a generic form, often failing to receive actionable insights. Since forms are static, they lack the ability to probe deep into user experiences, leading to shallow responses that often leave companies with more questions than answers.
ā Our Solution
By enabling forms to leverage context when asking questions, Raz makes them more engaging and personalized, helping to get answers to the burning questions businesses have. When a user answers with an ambiguous response, Raz will rephrase the question or delve into an aspect of their response.
Forms are used extensively across business operations ā from feedback surveys to hiring applications to lead qualification ā creating an opportunity for companies to significantly enrich data collection using Raz.
Since Raz can chat with users, it can be deployed over SMS and voice calls ā prime channels due to their high engagement. We make this process as simple as one click. Rather than sending an SMS with a link to a survey, we offer a native SMS experience that feels like chatting with a company representative.
Below is an example of an SMS hiring form for a food delivery courier created with Raz. For open-ended questions, companies can enable AI to dig deeper into applicants' answers. Raz can even simulate the conversation to show how it could progress.
After users complete the forms, Raz provides businesses with the responses, in addition to an analysis that highlights important themes and relevant insights.
š Our Asks