Adrian Heitmann, the Head of Product Management at Casablanca.ai, is on a mission to revolutionize video calls. His team’s software ensures authentic eye contact in video calls without the need for special hardware. Adrian’s focus is on making sure user feedback drives its development process. This case study highlights how Olvy has transformed the way Casablanca.ai manages feedback, enhancing its product development and overall customer satisfaction.

Casablanca.ai is pioneering video call technology that corrects head and eye angles for genuine eye contact without the need for special hardware. As they transition from a closed beta to a full public launch, Adrian’s role centers on listening to customers, translating their feedback into actionable insights, and ensuring these insights guide the entire team’s efforts.

"Before implementing Olvy, gathering feedback was a tedious process. I was spending one or two days a week just sifting through feedback from various sources."

Casablanca gets feedback from various channels such as their app, email inboxes, customer calls, etc., making it difficult to compile and analyze. Due to all this, Identifying common issues quickly was challenging, delaying the team’s ability to address them promptly.

Then, Adrian turned to Olvy to streamline feedback collection and analysis. Olvy let them automatically gather feedback from sources like their app, email, HubSpot, and internal tools like Teams, using AI to categorize and prioritize it.

Adrian now spends only 30 minutes to an hour each day on feedback, cutting his previous time in half and allowing him to focus on generating actionable insights.

Olvy’s quick grouping of similar feedback and identification of urgent issues have made Casablanca.ai more responsive and agile in its product development. Sharing insights with different teams has become easier, leading to faster issue resolution and better alignment on product priorities.

"Olvy has become the center where all feedback comes in. I can quickly organize and prioritize issues, and then communicate these to the development team effectively."

One instance where they’ve seen significant improvement was quickly identifying and resolving a performance issue affecting Mac users with M1 processors. Feedback through Olvy highlighted this problem immediately after an Apple update, enabling the team to swiftly address it and communicate directly with affected users.

"We quickly heard through Olvy that users with M1 processors were experiencing unexpected performance issues. We were able to address this swiftly thanks to the timely feedback."

Adrian loves Olvy’s feature for grouping issues and creating cohorts of similar feedback. This helps in making quick decisions and addressing critical issues effectively. The AI-driven organization and analysis of feedback from multiple sources have been particularly invaluable.

Olvy has transformed how Casablanca.ai manages feedback. By reducing manual effort, enhancing agility, and improving communication and user understanding, Olvy has empowered the team to develop a product that truly meets user needs. Adrian’s experience with Olvy highlights the power of AI-driven tools in modern product management, laying a strong foundation for future growth and innovation.

Reflecting on the impact of Olvy, Adrian appreciates the seamless onboarding and ongoing support from the Olvy team. The ability to filter out spam and focus on genuine user feedback has been especially beneficial. Adrian’s positive experience with Olvy demonstrates how effective feedback management can drive product success.