How Does Match Make Dating Easier?
What are the most common mistakes people make looking for love online - and how do apps try to solve them? In this episode, host Kristen Berman talks with Jin Chua and Matt Gray, a pair of product leaders working at Match, one of the largest dating platforms in the US. They both share fundamental product design decisions to increase engagement between users, as well as the company’s philosophy on attraction and the hard work from their team of dating experts giving super useful insight. Listen and discover the science behind opening the conversation by just being yourself!
Research for this episode was compiled and summarized by Irrational Labs. Read and download the Match Citations.
Jump straight into:
(01:09) - Profile Engineering: How does Match’s team of dating experts know the type of information that increases feelings of connection between strangers?
(07:57) - Getting Started: The platform’s onboarding process and the need for interaction to achieve a sense of compatibility.
(16:37) - Overcoming the ‘shopping mindset': The most common mistakes that people make when looking for a match.
(22:23) - The ‘Ghostbuster’ feature: Fundamental product design decisions to increase engagement with messaging and gender differences in the dating world.
(28:30) - The 37% rules, opening line alternatives, and features that make it easier to decide if it’s better to keep meeting new people or settle down.
(34:28) - Addressing the adoption rate of video calls inside the app and how dating apps will work in the future.
How Does Asana Make Us More Accountable?
Paige Costello, Core Product Leader at Asana, joins the podcast to explain the features that help codify and amplify some of the key components that make work work.
How Does Affirm Get Us to Buy Now Pay Later?
In this episode, host Kristen Berman talks with Nupur Kantamneni, former consumer product leader at Affirm, about the behavioral strategies that provide such a flexible business model for the platform.