Hypotenuse AI

Hypotenuse AI adopts a data-driven approach for everything. From running Google Ads campaigns to breaking down user profiles, we use tools such as Amplitude and Google Analytics to track our performance. This guides our decision-making process - every step of the way. Why? In start-ups, speed is paramount. Having a data-driven culture allows us to change directions and execute new ideas faster. Tracking information makes it easier for us to make continuous, incremental changes and improvements. 

For example, we conduct A/B testing on our outbound sales emails and track which email headers have the best open rate, which content templates have the highest reply rate etc. We then make tweaks to this every week to optimise callbacks. Constantly looking into ways to improve, we hold weekly team meetings to review key metrics and brainstorm better approaches.

Our co-founders are extremely active in the tech community and are on the ground to interact with the users. They personally reply to users' emails and enquiries for a better feel of user pain points. This allows them to come up with relevant improvements and best move our product forward. 

Hypotenuse AI also tries to conduct as many user interviews as possible. Often, we involve our newest staff to get their hands on our product. This is part of the onboarding process and all new team members undergo a user interview to test new features. We also host bug hunts before every big launch and the entire team joins to minimise issues and improve user experience. 

We invite external users as well as engineers to join for some of these sessions to hear the most unfiltered feedback. User suggestions and feedback are always shared with the team and taken seriously by everyone. Pointers taken during the interview are always converted into a series of tasks, of which they are allocated accordingly to the engineers during our weekly sprint tasks meetings.