While introducing new product features, you can’t predict what’s going to move the needle. Optimizing a product is always a mix of the grand and the granular. It is always a good idea to treat every feature as a hypothesis and validate it using well designed experiments.
Gina Gotthilf, VP of Growth at language education platform Duolingo, examines the four A/B tests that have been most crucial to the growth at Duolingo. She shares the lessons and cautionary tales she’s gathered from each experiment — and the tenets born from them.
To understand churn, product managers need a way to report on user behavior.
This will help to determine what users are thinking and feeling at each stage of their journey, in order to drive the right behaviors.
Most users churn silently, but with adequate product analytics, their stories won’t go untold. Product teams need deep, granular, user-level insights to distill narratives from the data. When they achieve that, they can finally address their churn and free their users to grow and flourish within the app.
Product Analytics: Podcast– Intercom’s Karen Church on product analytics
In this podcast @Intercom, Karen Church, Senior Manager, Product Analytics @Intercom, covers the product metrics that matter most to her team, why story telling skills are crucial in any data-driven job, how analytics teams can better integrate their product counterparts and much more. This is really insightful podcast.
Personalization intrigues users, gets them feeling comfortable quickly, and holds their attention for longer periods of time. When implemented alongside your growth strategies, personalization can become a key lever of additional growth. In this article, Julia Chen,looks at the way eight companies use personalization to engage users from the first moment and keep them coming back.