Arro

Collect customer insights at scale with our AI Research Assistant.

AI Research User Interviews Customer Insights Product Development Scalability Customer Feedback

Tool Information

Primary Task	User interviews
Category	communication-and-support
Sub Categories	research-tools customer-analytics project-management
Website Status	🟢 Active

Arro is an AI Research Assistant designed to augment product teams and provide insights at scale. It enables teams to conduct user interviews with thousands of customers simultaneously, generating product opportunities that can be integrated directly into the roadmap for development. Arro adopts an innovative AI-led methodology to collect customer feedback, ensuring bridging the trade-off between scale and quality. This approach allows users to experience the depth of qualitative user interviews with the speed and scalability of automated surveys. Arro features include easy setup for AI-powered conversations, the ability to embed conversations into websites or web apps, secure and safe AI conversations, and collaborative features including dedicated workspaces for inviting teammates. Furthermore, Arro is designed for adaptive, multilingual, and customizable conversations which increases empathy and encourages detailed responses. Finally, Arro utilizes its AI capabilities to synthesize insights from responses, providing raw transcripts, summary of conversations, direct quotes, primary themes, and actionable recommendations based on conducted studies.

Pros
Conducts user interviews simultaneously Generates product opportunities Easy setup for conversations Embeddable conversations into websites Built for team collaboration Adaptive multilingual customizable conversations Provides actionable recommendations Offers raw transcripts Summarizes conversations Collates direct quotes Identifies primary themes Co-created with product teams Unique link for each conversation Integrates insights into development roadmap Customizable tone of voice Analysis feature for macro insights Speaks over 50 languages

Cons
Lacks offline functionality Limited integration options Closed source Unsuitable for sensitive subjects No API for developers Limited multilingual support Lacks detailed customization Delayed processing time Dependent on internet connection Lack of user privacy guarantees